Martin Pech
Impact in
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- Digital Transformation in Industry
- Industrial Vision Systems and Defect Detection
- Flexible and Reconfigurable Manufacturing Systems
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- Quality and Safety in Healthcare
Papers in
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- Sustainable Supply Chain Management 6
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- Digital Transformation in Industry 8
- Co-authors
- Jaroslav Vrchota (7 shared papers)J. Bednář (2 shared papers)Petr Řehoř (4 shared papers)M. Rost (1 shared paper)
- Journals
- Applied Sciences (2 papers)Sustainability (2 papers)E+M Ekonomie a Management (1 paper)Journal of Competitiveness (1 paper)Sensors (1 paper)
- Partner nations
- CzechiaUnited States
In The Last Decade
Martin Pech
20 papers receiving 659 citations
Martin Pech's Hit Papers
Peers
Comparison fields: 5 of 100
- Industrial and Manufacturing Engineering 313
- Medical Laboratory Technology 32
- Management Information Systems 97
- Management of Technology and Innovation 75
- Strategy and Management 146
Countries citing papers authored by Martin Pech
This map shows the geographic impact of Martin Pech's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Pech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Pech more than expected).
Fields of papers citing papers by Martin Pech
This network shows the impact of papers produced by Martin Pech. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Pech. The network helps show where Martin Pech may publish in the future.
Co-authors
The 4 scholars most cited alongside Martin Pech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predictive Maintenance and Intelligent Sensors in Smart Factory: Review Hit paper breakdown → | 2021 | 232 |
| 2 | 2020 | 108 | |
| 3 | 2020 | 91 | |
| 4 | 2020 | 63 | |
| 5 | 2019 | 46 | |
| 6 | 2022 | 45 | |
| 7 | 2022 | 22 | |
| 8 | 2020 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 3 | |
| 15 | Financial statements risk: case study of a small accounting unit | 2019 | 3 |
| 16 | 2018 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2012 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2022 | 1 |
About Martin Pech
Martin Pech is a scholar working on Strategy and Management, Industrial and Manufacturing Engineering, Management of Technology and Innovation, Management Information Systems and Management Science and Operations Research, having authored 21 papers that have together received 698 indexed citations. Recurring topics across this work include Digital Transformation in Industry (8 papers), Sustainable Supply Chain Management (6 papers), Entrepreneurship Studies and Influences (3 papers), Quality and Supply Management (2 papers), Economic and Technological Innovation (2 papers), Education, Psychology, and Social Research (2 papers), Business and Economic Development (2 papers) and Sharing Economy and Platforms (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (313 citations), Medical Laboratory Technology (32 citations), Management Information Systems (97 citations), Management of Technology and Innovation (75 citations) and Strategy and Management (146 citations). Martin Pech has collaborated with scholars based in Czechia and United States. Frequent co-authors include Jaroslav Vrchota, J. Bednář, Petr Řehoř and M. Rost. Their work appears in journals such as Applied Sciences, Sustainability, E+M Ekonomie a Management, Journal of Competitiveness and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.