Marcin Bernaś
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
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- Energy Efficient Wireless Sensor Networks 11
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- Traffic control and management 7
- Advanced Data Processing Techniques 4
- Co-authors
- Bartłomiej Płaczek (20 shared papers)Piotr Porwik (4 shared papers)Teresa Pamuła (1 shared paper)T. Boczar (4 shared papers)Vasyl Martsenyuk (7 shared papers)Krzysztof Wróbel (1 shared paper)Rafał Doroz (1 shared paper)Aleksandra Kłos-Witkowska (5 shared papers)
In The Last Decade
Marcin Bernaś
45 papers receiving 427 citations
Peers
Comparison fields: 5 of 94
- Transportation 63
- Building and Construction 124
- Computer Networks and Communications 114
- Signal Processing 43
- Control and Systems Engineering 79
Countries citing papers authored by Marcin Bernaś
This map shows the geographic impact of Marcin Bernaś'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 Bernaś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Bernaś more than expected).
Fields of papers citing papers by Marcin Bernaś
This network shows the impact of papers produced by Marcin Bernaś. 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 Bernaś. The network helps show where Marcin Bernaś may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Bernaś, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2014 | 48 | |
| 3 | 2018 | 37 | |
| 4 | 2015 | 30 | |
| 5 | 2018 | 22 | |
| 6 | 2013 | 18 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2016 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2012 | 7 | |
| 20 | 2022 | 7 |
About Marcin Bernaś
Marcin Bernaś is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 440 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), Traffic control and management (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Neural Networks and Applications (5 papers), Power Transformer Diagnostics and Insulation (4 papers), Advanced Data Processing Techniques (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Transportation (63 citations), Building and Construction (124 citations), Computer Networks and Communications (114 citations), Signal Processing (43 citations) and Control and Systems Engineering (79 citations). Marcin Bernaś has collaborated with scholars based in Poland, Bulgaria and Ukraine. Frequent co-authors include Bartłomiej Płaczek, Piotr Porwik, Teresa Pamuła, T. Boczar, Vasyl Martsenyuk, Krzysztof Wróbel, Rafał Doroz, Aleksandra Kłos-Witkowska, Paweł Ramos and Barbara Pilawa. Their work appears in journals such as Sensors, Applied Sciences, Evidence-based Complementary and Alternative Medicine, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Neural Networks and Learning Systems.
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.