| Human–machine relationship—perspective and future roadmap for industry 5.0 solutions J Pizoń, A Gola Machines 11 (2), 203, 2023 | 69 | 2023 |
| A digital twin approach for the improvement of an autonomous mobile robots (AMR’s) operating environment—A case study P Stączek, J Pizoń, W Danilczuk, A Gola Sensors 21 (23), 7830, 2021 | 64* | 2021 |
| Perspectives for fog computing in manufacturing J Pizoń, J Lipski Applied Computer Science 12 (3), 2016 | 30 | 2016 |
| The meaning and directions of development of personalized production in the era of Industry 4.0 and Industry 5.0 J Pizoń, A Gola International Conference Innovation in Engineering, 1-13, 2022 | 29 | 2022 |
| The impact of selected components of industry 4.0 on project management L Kanski, J Pizon Journal of Innovation & Knowledge 8 (1), 100336, 2023 | 26 | 2023 |
| Cobots implementation in the era of Industry 5.0 using modern business and management solutions J Pizoń, M Cioch, Ł Kański, E Sánchez-García Society of Polish Mechanical Engineers and Technicians, 2022 | 21 | 2022 |
| The role and meaning of the digital twin technology in the process of implementing intelligent collaborative robots J Pizoń, A Gola, A Świć International Scientific-Technical Conference MANUFACTURING, 39-49, 2022 | 13 | 2022 |
| Key role and potential of Industrial Internet of Things (IIoT) in modern production monitoring applications J Pizoń, G Kłosowski, J Lipski MATEC Web of Conferences 252, 09003, 2019 | 13 | 2019 |
| Matrix profile implementation perspective in Industrial Internet of Things production maintenance application J Pizoń, M Kulisz, J Lipski Journal of Physics: Conference Series 1736 (1), 012036, 2021 | 12 | 2021 |
| Manufacturing process support using artificial intelligence J Pizoń, J Lipski Applied Mechanics and Materials 791, 89-95, 2015 | 11 | 2015 |
| Cognitive proximity for innovation: Why matters? an applied analysis E Sánchez-García, J Martínez-Falcó, B Marco-Lajara, J Pizoń Plos one 18 (5), e0283557, 2023 | 9 | 2023 |
| Human–machine relationship—Perspective and future roadmap for Industry 5.0 solutions. Machines, 11 (2), 203 J Pizoń, A Gola | 5 | 2023 |
| Data engineering in CRISP-DM process production data–case study J Brzozowska, J Pizoń, G Baytikenova, A Gola, A Zakimova, K Piotrowska Applied Computer Science 19 (3), 2023 | 5 | 2023 |
| The application of cloud computing with the Internet of things M Kulisz, J Pizoń Applied Mechanics and Materials 791, 42-48, 2015 | 4 | 2015 |
| Koncepcja wdrożenia technologii" internetu rzeczy" w systemie logistycznym przedsiębiorstwa J Pizon Systemy Logistyczne Wojsk, 120-136, 2015 | 3 | 2015 |
| Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste M Kulisz, J Kujawska, M Cioch, W Cel, J Pizoń Applied Sciences 14 (7), 2997, 2024 | 2 | 2024 |
| Autonomous mobile robots in automotive remanufacturing: A case study for intra-logistics support J Pizoń, Ł Wójcik, A Gola, Ł Kański, IE Nielsen Advances in Science and Technology. Research Journal 18 (no1), 2024 | 2 | 2024 |
| Challenges of Human-Centered Manufacturing in the Aspect of Industry 5.0 Assumptions J Pizoń, M Witczak, A Gola, A Świć IFAC-PapersOnLine 56 (2), 156-161, 2023 | 2 | 2023 |
| Sztuczna inteligencja w inżynierii produkcji J Lipski, J Pizoń Innowacyjne metody w inżynierii produkcji, 11-24, 2014 | 2 | 2014 |
| Effectiveness of bonding steel elements with polyester-coated paint A Rudawska, A Gola, J Pizoń, P Capała, Ł Wójcik Applied Sciences 13 (18), 10059, 2023 | 1 | 2023 |
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