Marcin Lis
Impact in
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- Technology Adoption and User Behaviour
- Management Information Systems top 10%
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 8
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- Water Systems and Optimization 7
- Co-authors
- Piotr Kozierski (13 shared papers)Zhijuan Zhang (1 shared paper)Albertina Paula Monteiro (2 shared papers)Joanna Kurowska‐Pysz (1 shared paper)Katarzyna Szczepańska‐Woszczyna (2 shared papers)Singha Chaveesuk (1 shared paper)Zdzisława Dacko-Pikiewicz (1 shared paper)Bilal Khalid (1 shared paper)
In The Last Decade
Marcin Lis
40 papers receiving 327 citations
Peers
Comparison fields: 5 of 95
- Information Systems and Management 37
- Management Information Systems 41
- Management of Technology and Innovation 30
- Strategy and Management 52
- Accounting 38
Countries citing papers authored by Marcin Lis
This map shows the geographic impact of Marcin Lis'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 Marcin Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Lis more than expected).
Fields of papers citing papers by Marcin Lis
This network shows the impact of papers produced by Marcin Lis. 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 Marcin Lis. The network helps show where Marcin Lis may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Lis, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 46 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 27 | |
| 5 | Resampling in Particle Filtering - Comparison | 2015 | 25 |
| 6 | 2015 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 2016 | 5 |
About Marcin Lis
Marcin Lis is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering, Strategy and Management and Management Information Systems, having authored 45 papers that have together received 360 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Water Systems and Optimization (7 papers), Hemodynamic Monitoring and Therapy (3 papers), Fault Detection and Control Systems (3 papers), Business and Economic Development (3 papers), Management and Organizational Practices (3 papers), Renewable energy and sustainable power systems (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Information Systems and Management (37 citations), Management Information Systems (41 citations), Management of Technology and Innovation (30 citations), Strategy and Management (52 citations) and Accounting (38 citations). Marcin Lis has collaborated with scholars based in Poland, Spain and China. Frequent co-authors include Piotr Kozierski, Zhijuan Zhang, Albertina Paula Monteiro, Joanna Kurowska‐Pysz, Katarzyna Szczepańska‐Woszczyna, Singha Chaveesuk, Zdzisława Dacko-Pikiewicz, Bilal Khalid, Wornchanok Chaiyasoonthorn and Ilham Haouas. Their work appears in journals such as Sustainability, Energies, International Journal of Accounting Information Systems, International Journal of Robust and Nonlinear Control and Polish Journal of Management Studies.
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.