| Managing knowledge workers J Patalas-Maliszewska | 61 | 2013 |
| The level of the additive manufacturing technology use in polish metal and automotive manufacturing enterprises J Patalas-Maliszewska, M Topczak, S Kłos Applied Sciences 10 (3), 735, 2020 | 37 | 2020 |
| The impact of ERP on maintenance management S Kłos, J Patalas-Maliszewska Management and Production Engineering Review, 2013 | 37 | 2013 |
| An automated recognition of work activity in industrial manufacturing using convolutional neural networks J Patalas-Maliszewska, D Halikowski, R Damaševičius Electronics 10 (23), 2946, 2021 | 31 | 2021 |
| A new management approach based on Additive Manufacturing technologies and Industry 4.0 requirements. J Patalas-Maliszewska, M Topczak Advances in Production Engineering & Management 16 (1), 2021 | 31 | 2021 |
| Throughput analysis of automatic production lines based on simulation methods S Kłos, J Patalas-Maliszewska Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 2015 | 27 | 2015 |
| An intelligent system for core-competence identification for industry 4.0 based on research results from german and polish manufacturing companies J Patalas-Maliszewska, S Kłos Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 25 | 2018 |
| Modeling strategic-knowledge-resource management based on individual competencies in SMEs J Patalas-Maliszewska, M Hochmeister Contemporary Economics 5 (1), 72-79, 2011 | 24 | 2011 |
| The methodology of the S-ERP system employment for small and medium manufacturing companies J Patalas-Maliszewska, S Kłos IFAC-PapersOnLine 52 (10), 85-90, 2019 | 23 | 2019 |
| Improving manufacturing processes using simulation methods S Kłos, J Patalas-Maliszewska, P Trebuna Applied Computer Science 12 (4), 2016 | 22 | 2016 |
| Decision model for the use of the application for knowledge transfer support in manufacturing enterprises J Patalas-Maliszewska, I Krebs Business Information Systems Workshops: BIS 2015 International Workshops …, 2015 | 21 | 2015 |
| An approach to sport activities recognition based on an inertial sensor and deep learning G Pajak, P Krutz, J Patalas-Maliszewska, M Rehm, I Pajak, M Dix Sensors and Actuators A: Physical 345, 113773, 2022 | 20 | 2022 |
| An approach to assessing sustainability in the development of a manufacturing company J Patalas-Maliszewska, H Łosyk Sustainability 12 (21), 8787, 2020 | 20 | 2020 |
| A model for generating workplace procedures using a CNN-SVM architecture J Patalas-Maliszewska, D Halikowski Symmetry 11 (9), 1151, 2019 | 19 | 2019 |
| An approach to supporting the selection of maintenance experts in the context of Industry 4.0 J Patalas-Maliszewska, S Kłos Applied Sciences 9 (9), 1848, 2019 | 19 | 2019 |
| Assessing the Impact of Erp Implementation in the small Enterprises J Patalas-Maliszewska Foundations of management 4 (2), 51-62, 2012 | 18 | 2012 |
| Design optimization of the Petri net-based production process supported by additive manufacturing technologies J Patalas-Maliszewska, R Wiśniewski, M Topczak, M Wojnakowski Bulletin of the Polish Academy of Sciences Technical Sciences, e140693-e140693, 2022 | 17 | 2022 |
| Single tracks as a key factor in additive manufacturing technology—analysis of research trends and metal deposition behavior J Patalas-Maliszewska, E Feldshtein, O Devojno, M Śliwa, M Kardapolava, ... Materials 13 (5), 1115, 2020 | 17 | 2020 |
| A model of a tacit knowledge transformation for the service department in a manufacturing company: a case study A Dudek, J Patalas-Maliszewska Foundations of Management 8 (1), 175-188, 2016 | 16 | 2016 |
| A study on improving the effectiveness of a manufacturing company in the context of knowledge management–research results J Patalas-Maliszewska, S Kłos Foundations of Management 9 (1), 149-160, 2017 | 15 | 2017 |
