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Publications indexed in WoS and SCOPUS

2023
 

89. L. Martinova and N. Fokin, "Development of a Cross-Platform Software Application for Programming CNC Machine Tools," 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 616-622, doi: 10.1109/ICIEAM57311.2023.10139283.

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
 

88. N. Krotova, R. Pushkov and S. Evstafieva, "Development of a Trajectory Planning Algorithm for Moving Measuring Instrument for Binding a Basic Coordinate System Based on a Machine Vision System," 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 673-678, doi: 10.1109/ICIEAM57311.2023.10138966.

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
 

87. G. Martinov and A. Zakharov, "The Specifics of Building a Cross-Platform OPC UA Server for a CNC System," 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 702-707, doi: 10.1109/ICIEAM57311.2023.10139086.

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
 

86. G. Martinov and P. A. Nikishechkin, "The Practice of Using a SoftPLC to Control the Electromechanical Units of a Training Turning Machine," 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 708-712, doi: 10.1109/ICIEAM57311.2023.10139223

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
 

85. G. Martinov, A. Al Khoury and A. Issa, "Development and Use of OPC UA Tools for Data Collection and Monitoring of Technological Equipment," 2023 International Russian Smart Industry Conference (SmartIndustryCon), Sochi, Russian Federation, 2023, pp. 346-351, doi: 10.1109/SmartIndustryCon57312.2023.10110757.

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
 SCOPUS

84. L. Martinova, S. Sokolov, R. Pushkov,  2023. Integration of Intelligent Industrial Systems into a Workshop-Level Information Network. Conference: 2023 International Russian Smart Industry Conference (SmartIndustryCon) DOI: 10.1109/SmartIndustryCon57312.2023.10110771
*The reported study was funded by RSF according to the agreement No. 22-29-01325

  
 SCOPUS

83. G. Martinov and N. Martemianova, "An Approach to the Production of Prototype Printed Circuit Boards on Bench-Type Machine with the CNC System," 2023 International Russian Smart Industry Conference (SmartIndustryCon), Sochi, Russian Federation, 2023, pp. 433-437, doi: 10.1109/SmartIndustryCon57312.2023.10110810.

*Работа выполнена при поддержке Министерства науки и высшего образования и Российской Федерации в рамках выполнения государственного задания (проект FSFS-2023-0004)

  
2022
 

82. R.Nezmetdinov, ,P.Melikov and R.Utarbaev,  "Development of the Industrial Room Automation System on the Basis of a Single Computer", Lecture Notes in Electrical Engineeringthis link is disabled, 2022, 857 LNEE, pp. 92–101 https://doi.org/10.1007/978-3-030-94202-1_9

  
 

81. L. Martinova and G. Martinov, "An Approach to The Implementation of the Machine Safety Function Using an Integrated in the CNC System Softplc and an External Safety Controller Made According to the SoftPlC," 2022 International Russian Automation Conference (RusAutoCon), 2022, pp. 961-965, doi: 10.1109/RusAutoCon54946.2022.9896367.
*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

  
 

80. G. Martinov, L. Martinova and A. Nikich, "Allocation of Network Levels and Organization of Data Transmission in the Workshop Information Space of Digital Production," 2022 International Russian Automation Conference (RusAutoCon), 2022, pp. 581-586, doi: 10.1109/RusAutoCon54946.2022.9896247
*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

  
 SCOPUS

79. G. Martinov, R. Pushkov and S. Evstafieva, "Collecting Data from Variable Kinematic Machine Tools with OPC UA Protocol," 2022 International Russian Automation Conference (RusAutoCon), 2022, pp. 465-470, doi: 10.1109/RusAutoCon54946.2022.9896291.

*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

 

  
2021
 

78. I. Kovalev, R. Nezhmetdinov and D. Kvashnin,  "Development of a Mobile Application for Training Operators to Work with Machine Tools with CNC Systems Using Augmented Reality", Proceedings - 2021 International Russian Automation Conference, RusAutoCon 2021, 2021, pp. 863–867 https://doi.org/10.1109/RusAutoCon52004.2021.9537320

  
 

77. D. Abdullaeva, I. Sayliev, R. Nezhmetdinov and R. Nezhmetdinova,  "Solution of logical problem of numerical program control using the software-implemented", IOP Conference Series: Earth and Environmental Sciencethis link is disabled, 2021, 839(3), 032038 DOI 10.1088/1755-1315/839/3/032038

  
 

76. G. Martinov, L. Martinova and N. Fokin, "Development of Toolkit for Formalizing the Programming of Canned Cycles on CNC Machine Tools", MATEC Web of Conferences, 2021, 346(4):03098 DOI: 10.1051/matecconf/202134603098

*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

  
 

75. Martinov G.,  Kozak N. and  Evstafieva S. Implementation of Dynamic Changes in Machine Kinematics in the Electroautomatic Subsystem of the CNC System. 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2021, pp. 596-601, doi: 10.1109/ICIEAM51226.2021.9446459.
*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

  
 SCOPUS

74. Martinov, G.M., Sokolov, S.V., Pushkov, R.L., Obukvov A.I., Evstafieva S.V. Control of the machine tools with variable kinematics. Int J Adv Manuf Technol (2021). https://doi.org/10.1007/s00170-021-07339-1

*The reported study was funded by RFBR according to the research project № 20-07-00305\20

  
 SCOPUS

73. Pushkov, R.L., Ljubimov, A.B., Evstafieva, S.V. Approach to Build a Universal Communication Protocol for Equipment of Different Manufacturers. Lecture Notes in Electrical Engineering, 2021, 729 LNEE, стр. 832–841 doi:10.1007/978-3-030-71119-1_81

  
 

72. Martinova L.I., Kozak N.V., Kovalev I.A. and Ljubimov A.B. Creation of CNC system’s components for monitoring machine tool health. Int J Adv Manuf Technol (2021). https://doi.org/10.1007/s00170-021-07107-1

*The reported study was funded by RFBR according to the research project № 20-07-00305\20

  
2020
 

71. 157. Martinov, G.M., Kozak, N.V. & Nikishechkin, P.A. Approach to Solving the Task of Backup on Machine Tools with CNC. Russ. Engin. Res. 40, 1024–1029 (2020). https://doi.org/10.3103/S1068798X20120096

  
 SCOPUS

70. Nikishechkin P., Kovalev I., Kazaryan O. and Grigorev N. Practical aspects of constructing a specialized control system for compact machines. ICMTMTE 2020, IOP Conf. Series: Materials Science and Engineering 971 (2020) 042085. doi: 10.1088/1757-899X/971/4/042085
 SCOPUS

69. Kovalev I, Kvashnin D., Chervonnova N. and Nikich A. Application of agile methodology at industrial manufacturing as part of the Industry 4.0. ICMTMTE 2020, IOP Conf. Series: Materials Science and Engineering 971 (2020) 052034. doi: 10.1088/1757-899X/971/5/052034

*Study was supported by Ministry of Science and Higher Education of the Russian Federation in the frame of grant NO. 05.601.21.0019 of 2019 with unique identification number RFMEFI60119X0019.
 

68. Nezhmetdinov R., Kovalev I., Chervonnova N., Nezhmetdinova R. and Al Khoury A. An approach to the development of logical control systems for technological equipment in the concept of Industry 4.0. ICMTMTE 2020, MATEC Web of Conferences 329, 03044 (2020). doi: 10.1051/matecconf/202032903044
 

67. Kovalev I., Issa A., Nikishechkin P., Chervonnova N. and Petrov A. Development of a data collection system for a CNC system using cloud FRED technology and OPC UA specification. ICMTMTE 2020, MATEC Web of Conferences 329, 03043 (2020). doi: 10.1051/matecconf/202032903043

*Study was supported by Ministry of Science and Higher Education of the Russian Federation in the frame of grant NO. 05.601.21.0019 of 2019 with unique identification number RFMEFI60119X0019.
 SCOPUS

66. Pushkov R., Martinova L. and Evstafieva S. Extending functionality of the control system using MTConnect data collection standard. ICMTMTE 2020, IOP Conf. Series: Materials Science and Engineering 971 (2020) 042080. doi: 10.1088/1757-899X/971/4/042080
*The reported study was funded by RFBR according to the research project № 20-07-00305\20.
 

65. Martinov G., Pushkov R., Martinova L., Kozak N. and Evstafieva S., 2020. Approach to development of HMI screens for CNC with dynamic kinematics. ICMTMTE 2020, MATEC Web of Conferences 329, 03026.  p.1-6. doi: 10.1051/matecconf/202032903026

*The reported study was funded by RFBR according to the research project № 20-07-00305\20.
 SCOPUS

64. Martinova, L., Obukhov, A.  and  Sokolov S. Practical Aspects of Ensuring Accuracy of Machining on CNC Machine Tools within Framework of “Smart Manufacturing”. 2020 International Russian Automation Conference (RusAutoCon). IEEE, 2020. Page(s): 898 - 902.
doi: 10.1109/RusAutoCon49822.2020.9208079

*The reported study was funded by RFBR according to the research project № 20-07-00305\20.

  
SCOPUS 63. Nikishechkin P.A., Chervonnova N.Yu. and Nikich A.N. (2020) Approach to Development of Specialized Terminals for Equipment Control on the Basis of Shared Memory Mechanism. Lecture Notes in Electrical Engineering LNEE, volume 641. RusAutoCon 2019: Advances in Automation. pp 181-188. doi:10.1007/978-3-030-39225-3_20  
 SCOPUS

62. Martinov, G., Nikishechkin, P., Al Khoury, A and Issa, A, 2020. Control and remote monitoring of the vertical machining center by using the OPC UA protocol. In: IOP Conf. Series: Materials Science and Engineering 919, 032030. pp.1-8. doi:10.1088/1757-899X/919/3/032030

*The reported study was funded by RFBR according to the research project № 20-07-00305\20.
 WoS, SCOPUS 61. Obukhov, A.I., Martinova, L.I. & Lyubimov, A.B., 2020. Developing of the Look Ahead Algorithm for Linear and Nonlinear Laws of Control of Feedrate in CNC. Automation Remote Control 81, 380–386. https://doi.org/10.1134/S0005117920020150  
 SCOPUS 60. Martinov, G., Kovalev, I. and Grigoriev, A., 2019. Approach to Building an Autonomous Cross-platform Automation Controller Based on the Synthesis of Separate Modules. In: International Russian Automation Conference. Sochi, Russia. doi: 10.1007/978-3-030-39225-3_15
  
 WoS, SCOPUS 59. Martinov, G., Martinova, L. and Ljubimov, A. (2020). From classic CNC systems to cloud-based technology and back // Robotics and Computer-Integrated Manufacturing, 2020, Vol. 63, June. doi: doi.org/10.1016/j.rcim.2019.101927  
 SCOPUS 58. Martinov, G. M., Pushkov, R. L. and Evstafieva, S. V. (2020). Collecting diagnostic operational data from CNC machines during operation process. In IOP Conference Series: Materials Science and Engineering (Vol. 709, No. 3, p. 033051). IOP Publishing. doi:10.1088/1757-899X/709/3/033051
 SCOPUS 57. Martinov, G. M., Kovalev, I. A. and Chervonnova, N. Y. (2020). Development of a platform for collecting information on the operation of technological equipment with the use of Industrial Internet of Things. In IOP Conference Series: Materials Science and Engineering (Vol. 709, No. 4, p. 044063). IOP Publishing. doi:10.1088/1757-899X/709/4/044063
 SCOPUS 56. Obukhov, A. I., Evstafieva, S. V. and Martinova, L. I. (2020). Real-time cutting simulation based on voxel model. In IOP Conference Series: Materials Science and Engineering (Vol. 709, No. 4, p. 044062). IOP Publishing. doi:10.1088/1757-899X/709/4/044062
 SCOPUS 55. Nikishechkin, P. A., Chervonnova, N. Y. and Nikich, A. N. (2020). An approach of developing solution for monitoring the status and parameters of technological equipment for the implementation of Industry 4.0. In IOP Conference Series: Materials Science and Engineering (Vol. 709, No. 4, p. 044065). IOP Publishing. doi:10.1088/1757-899X/709/4/044065
 SCOPUS 54. Martinova, L. I., Pushkov, R. L. and Fokin, N. N. (2020). Development of standardized tools for shopfloor programming of turning and turn-milling machines. In IOP Conference Series: Materials Science and Engineering (Vol. 709, No. 4, p. 044064). IOP Publishing. doi:10.1088/1757-899X/709/4/044064
2019
 SCOPUS  53. Martinov G. and Martinova L. 2019. Prospects for CNC Machine Tools. Russian Engineering Research. Vol. 39, No. 12, pp. 1080–1083. doi: 10.3103/S1068798X19120153

* Financial support was provided by the Russian Ministry of Education and Science (project 2.1237.2017/4.6)

  
SCOPUS  52. Martinova, L., Sokolov, S. and Babin, M. (2020). Organization of Process Equipment Monitoring. In: 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP). Samara: IEEE. doi:10.1109/CSCMP45713.2019.8976506
  
 SCOPUS 51. Martinov, G. and Kovalenko, A. (2020). Additive Process Equipment Control System for Integration into a Flexible Manufacturing System. In: 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP). Samara: IEEE. doi:10.1109/CSCMP45713.2019.8976558
  
WoS, SCOPUS 50. Martinov, G., Kovalev, I. and Chervonnova, N. (2020). Development of an Extended CNC Operator Interface Using Web Technologies and Augmented Reality. In: 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP). Samara: IEEE. doi:10.1109/CSCMP45713.2019.8976488
  
 WoS  49. Nikishechkin, P., Grigoriev, N., & Chervonnova, N. (2019). Construction of a specialized control system for brush machine and rounding the cutting edges of a metal cutting tool. In MATEC Web of Conferences (Vol. 298, p. 00064). EDP Sciences. doi:10.1051/matecconf/201929800064
  
WoS 48. Kovalev, I., Babin, M., & Nikishechkin, P. (2019). Development of a method for the determination and registration of unauthorized data transmission channels at industrial manufactories. In MATEC Web of Conferences (Vol. 298, p. 00110). EDP Sciences. doi:10.1051/matecconf/201929800110
  
 WoS 47. Kovalev, I., Nezhmetdinov, R., and Kvashnin, D. (2019). Big data analytics of the technological equipment based on Data Lake architecture. In MATEC Web of Conferences (Vol. 298, p. 00079). EDP Sciences. doi:10.1051/matecconf/201929800079
  
SCOPUS  46. Kovalev, I., Nezhmetdinov, R. and Nikishechkin, P. (2019). Approach to Assessing the Possibility of Functioning of CNC and PAC Systems on Various Software and Hardware Platforms. In: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Vladivostok: IEEE, pp.1-5. doi: 10.1109/FarEastCon.2019.8933999  
SCOPUS  45. Sokolov, S., Pushkov, R. and Evstafieva, S. (2019). General-purpose Control System Adaptation for Gear Milling Tasks. In: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Vladivostok: IEEE, pp.1-5. doi: 10.1109/FarEastCon.2019.8934441  
SCOPUS  44. Martinov, G., Issa, A. and Martinova, L. (2019). Controlling CAN Servo Step Drives and Their Remote Monitoring by Using Protocol OPC UA. In: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Vladivostok: IEEE, pp.1-5. doi: 10.1109/FarEastCon.2019.8934338  
 SCOPUS 43. Martinov, G., Lyubimov, A. and Khoury, A. (2019). Development of Motion Controller Based on ARM Microcomputers by Supporting Different Strategies of Controlling CAN Servo Drives. In: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Vladivostok: IEEE, pp.1-6. doi: 10.1109/FarEastCon.2019.8934149  
SCOPUS 42. Kovalev I. A. , Chervonnova N. Y. and  Nikich A. N. (2019). Research of Computational Capabilities of Software and Hardware Platforms to Run CNC System using Load Testing. In: 2019 International Russian Automation Conference (RusAutoCon), Sochi, Russia, 2019, pp. 1-4. doi: 10.1109/RUSAUTOCON.2019.8867793
  
SCOPUS  41. Martinova L., Pushkov R. and  Evstafieva S. (2019). Extending Functionality of Control System by Adding Contour Building Capabilities," 2019 International Russian Automation Conference (RusAutoCon), Sochi, Russia, 2019, pp. 1-5. doi: 10.1109/RUSAUTOCON.2019.8867596  
WoS, SCOPUS 40. Martinov G. M., Nikishechkin P.A., Grigoriev A.S. and  Chervonnova N. Yu. (2019). Organizing Interaction of Basic Components in the CNC System AxiOMA Control for Integrating New Technologies and Solutions // Automation and Remote Control, 2019, Vol. 80, No. 3, pp. 584–591. https://doi.org/10.1134/S0005117919030159
2018
WoS, SCOPUS 39. Martinov, G., Kozak, N. and Nezhmetdinov, R. (2018). Approach in Implementing of Logical Task for Numerical Control on Basis of Concept “Industry 4.0”. 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). https://doi.org/10.1109/ICIEAM.2018.8728584
  
SCOPUS  38. Martinov, G.,  Kovalev, I. and Al Khoury, A. (2018). Construction of a Specialized CNC System for Thread Grinding Machines. In: 2018 International Russian Automation Conference (RusAutoCon). Sochi: IEEE. pp.1069-1074. https://doi.org/10.1109/RUSAUTOCON.2018.8501675
  
 SCOPUS 37. Nezhmetdinov, R., Nikishechkin, P. and Nikich, A. (2018). Approach to the Construction of Logical Control Systems for Technological Equipment for the Implementation of Industry 4.0 Concept. In: 2018 International Russian Automation Conference (RusAutoCon). Sochi: IEEE. pp. 1079-1083. https://doi.org/10.1109/RUSAUTOCON.2018.8501768  
 SCOPUS 36. Pushkov, R., Martinova, L. and Evstafieva, S. (2018). Extending Functionality of Control System by Adding Engraving Capabilities. In: 2018 International Russian Automation Conference (RusAutoCon), Sochi, Russia. Sochi: IEEE. pp. 709-714. https://doi.org/10.1109/RUSAUTOCON.2018.8501673
  
SCOPUS 35. Viktor Chekryzhov, Ilya A.Kovalev, Anton S.Grigoriev (2018). An approach to technological equipment performance information visualization system construction using augmented reality technology. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-7 https://doi.org/10.1051/matecconf/201822402093
SCOPUS 34. Liliya I.Martinova, Nikolay N.Fokin (2018). An approach to creation of a unified system of programming CNC machines in the dialog mode. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-5 https://doi.org/10.1051/matecconf/201822401101.
WoS, SCOPUS 33. Roman Pushkov, Evgeniy Salamatin, Svetlana Evstafieva (2018). Method of developing parametric machine cycles for modern CNC systems using high-level language. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-7 https://doi.org/10.1051/matecconf/201822401116.
SCOPUS 32. Petr Nikishechkin, Nadezhda Chervonnova, Anatoly Nikich (2018). Approach to the construction of specialized portable terminals for monitoring and controlling technological equipment. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-9 https://doi.org/10.1051/matecconf/201822401089.
WoS, SCOPUS 31. Georgi M.Martinov, Anna V.Stas, Oleg A.Kudinov (2018). The approach of creating a particular postprocessor and using CNC measuring cycles. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-7 https://doi.org/10.1051/matecconf/201822404023
WoS, SCOPUS 30. Georgi M.Martinov, Akram Al Khoury, Ahed Issa (2018). An approach of developing low cost ARM based CNC systems by controlling CAN drives. In: MATEC Web Conf. Volume 224, 2018. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018). Sevastopol, Russia, September 10-14, 2018. pp.1-6 https://doi.org/10.1051/matecconf/201822401020.
WoS, SCOPUS 29. Martinova L. and Martinov, G. (2018). Automation of Machine-Building Production According to Industry 4.0. In: 3rd Russian-Pacific Conference on Computer Technology and Applications. Vladivostok, pp.1 - 4. https://doi.org/10.1109/RPC.2018.8482165
  
WoS, SCOPUS 28. Grigoriev, S. and Martinov, G. (2018). An Approach to Creation of Terminal Clients in CNC System. In: 3rd Russian-Pacific Conference on Computer Technology and Applications. Vladivostok, pp.1 - 4. https://doi.org/10.1109/RPC.2018.8482153.
  
SCOPUS 27. Martinov, G., Obukhov, A. and Kozak, N. (2018). The Usage of Error Compensation Tools of CNC for Vertical Milling Machines. Russian Engineering Research, 38(2), pp.119-122. https://doi.org/10.3103/S1068798X18020120
  
2017
 WoS, SCOPUS 26. Martinov, G., Sokolov, S., Martinova, L., Grigoryev, A. and Nikishechkin, P. (2017). Approach to the Diagnosis and Configuration of Servo Drives in Heterogeneous Machine Control Systems. In: 8th International Conference, ICSI. Fukuoka, Japan, pp.586-594. https://doi.org/10.1007/978-3-319-61833-3_62.
  
  WoS, SCOPUS 25. Kovalev, I., Nikishechkin, P., and Grigoriev A. (2017) Approach to Programmable Controller Building by its Main Modules Synthesizing Based on Requirements Specification for Industrial Automation. International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp.1-4 https://doi.org/10.1109/ICIEAM.2017.8076121.
  
 WoS, SCOPUS 24. Martinov, G., Kozak, N. and Nezhmetdinov, R. (2017). Implementation of Control for Peripheral Machine Equipment Based on the External Soft PLC Integrated with CNC. International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp.1-4. https://doi.org/10.1109/ICIEAM.2017.8076119
  
 WoS, SCOPUS 23. Nikishechkin, P., Kovalev, I. and Nikich, A. (2017). An approach to building a cross-platform system for the collection and processing of diagnostic information about working technological equipment for industrial enterprises. MATEC Web of Conferences, 129, p.03012. https://doi.org/10.1051/matecconf/201712903012.
  
 WoS, SCOPUS 22. Martinov, G., Kozak, N., Nezhmetdinov, R., Grigoriev, A., Obukhov, A. and Martinova, L. (2017). Method of decomposition and synthesis of the custom CNC systems. Automation and Remote Control, 78(3), pp.525-536. https://doi.org/10.1134/S0005117917030122.
  
2016  
 SCOPUS 21. Bushuev, V., Evstafieva, S. and Molodtsov, V. (2016). Control loops of a supply servo drive. Russian Engineering Research, 36(9), pp.774-780. https://doi.org/10.3103/S1068798X16090069
  
 SCOPUS 20. Martinov, G., Nezhmetdinov, R. and Kuliev, A. (2016). Approach to implementing hardware-independent automatic control systems of lathes and lathe-milling CNC machines. Russian Aeronautics (Iz VUZ), 59(2), pp.293-296. https://doi.org/10.3103/S1068799816020239
  
 SCOPUS 19. Grigoriev, S. and Martinov, G. (2016). An ARM-based Multi-channel CNC Solution for Multi-tasking Turning and Milling Machines. Procedia CIRP, 46, pp.525-528. https://doi.org/10.1016/j.procir.2016.04.036.
  
 SCOPUS 18. Martinov, G. and Kozak, N. (2016). Specialized numerical control system for five-axis planing and milling center. Russian Engineering Research, 36(3), pp.218-222. https://doi.org/10.3103/S1068798X16030126
  
  WoS, SCOPUS 17. Martinov, G., Obuhov, A., Martinova, L. and Grigoriev, A. (2016). An Approach to Building a Specialized CNC System for Laser Engraving Machining. Procedia CIRP, 41, pp.998-1003.  https://doi.org/10.1016/j.procir.2015.08.103
 
  WoS, SCOPUS 16. Grigoriev, S. and Martinov, G. (2016). The Control Platform for Decomposition and Synthesis of Specialized CNC Systems. Procedia CIRP, 41, pp.858-863.  https://doi.org/10.1016/j.procir.2015.08.031.
 
2015  
SCOPUS 15. Martinov, G., Grigoryev, A. and Nikishechkin, P. (2015). Real-Time Diagnosis and Forecasting Algorithms of the Tool Wear in the CNC Systems. Advances in Swarm and Computational Intelligence, 9142, pp. 115-126. https://doi.org/10.1007/978-3-319-20469-7_14
  
SCOPUS 14. Martinova, L., Sokolov, S. and Nikishechkin, P. (2015). Tools for Monitoring and Parameter Visualization in Computer Control Systems of Industrial Robots. Advances in Swarm and Computational Intelligence, 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI, Proceedings, Part II, pp.200-207. https://doi.org/10.1007/978-3-319-20472-7_22
  
 WoS, SCOPUS 13. Martinova, L., Kozak, N., Nezhmetdinov, R., Pushkov, R. and Obukhov, A. (2015). The Russian multi-functional CNC system AxiOMA control: Practical aspects of application. Automation and Remote Control, 76(1), pp.179-186. https://doi.org/10.1134/S000511791501018X.
  
 SCOPUS 12. Martinov, G. and Kozak, N. (2015). Numerical control of large precision machining centers by the AxiOMA contol system. Russian Engineering Research, 35(7), pp.534-538. https://doi.org/10.3103/S1068798X15070114
  
 SCOPUS 11. Martinov, G. and Nezhmetdinov, R. (2015). Modular design of specialized numerical control systems for inclined machining centers. Russian Engineering Research, 35(5), pp.389-393. https://doi.org/10.3103/S1068798X15050160
  
   WoS, SCOPUS 10. Martinov, G., Lyubimov, A., Bondarenko, A., Sorokoumov, A. and Kovalev, I. (2015). An approach to building a multiprotocol CNC system. Automation and Remote Control, 76(1), pp.172-178. https://doi.org/10.1134/S0005117915010178
  
 2014   
 WoS, SCOPUS 9. Nezhmetdinov, R., Sokolov, S., Obukhov, A. and Grigor’ev, A. (2014). Extending the functional capabilities of NC systems for control over mechano-laser processing. Automation and Remote Control, 75(5), pp.945-952. https://doi.org/10.1134/S0005117914050129.
  
 WoS, SCOPUS 8. Martinova, L., Pushkov, R., Kozak, N. and Trofimov, E. (2014). Solution to the problems of axle synchronization and exact positioning in a numerical control system. Automation and Remote Control, 75(1), pp.129-138. https://doi.org/10.1134/S000511791401010X
  
  WoS, SCOPUS 7. Martinov, G., Obuhov, A., Martinova, L. and Grigoriev, A. (2014). An Approach to Building Specialized CNC Systems for Non-traditional Processes. Procedia CIRP, 14, pp.511-516. https://doi.org/10.1016/j.procir.2014.03.049.
  
  WoS, SCOPUS 6. Grigoriev, S. and Martinov, G. (2014). Research and Development of a Cross-platform CNC Kernel for Multi-axis Machine Tool. Procedia CIRP, 14, pp.517-522. https://doi.org/10.1016/j.procir.2014.03.051.
  
 2013  
 SCOPUS 5. Martinov, G. and Grigor’ev, A. (2013). Diagnostics of cutting tools and prediction of their life in numerically controlled systems. Russian Engineering Research, 33(7), pp.433-437. https://doi.org/10.3103/S1068798X13070137
  
2012  
WoS, SCOPUS 4. Martinova, L., Grigoryev, A. and Sokolov, S. (2012). Diagnostics and forecasting of cutting tool wear at CNC machines. Automation and Remote Control, 73(4), pp.742-749. https://doi.org/10.1134/S0005117912040133.
  
 WoS, SCOPUS 3. Martinov, G., Ljubimov, A., Grigoriev, A. and Martinova, L. (2012). Multifunction Numerical Control Solution for Hybrid Mechanic and Laser Machine Tool. Procedia CIRP, 1, pp.260-264. https://doi.org/10.1016/j.procir.2012.04.047.
  
  WoS, SCOPUS 2. Grigoriev, S. and Martinov, G. (2012). Scalable Open Cross-Platform Kernel of PCNC System for Multi-Axis Machine Tool. Procedia CIRP, 1, pp.238-243. https://doi.org/10.1016/j.procir.2012.04.043.
  
2010
SCOPUS 1. Martinov, G. and Martinova, L. (2010). Trends in the numerical control of machine-tool systems. Russian Engineering Research, 30(10), pp.1041-1045. https://doi.org/10.3103/S1068798X10100175