Peter Bednár
Impact in
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- Data Management and Algorithms
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- Hydrological Forecasting Using AI
Papers in
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- Semantic Web and Ontologies 7
- Cognitive Computing and Networks 3
- Advanced Computational Techniques and Applications 3
- Neural Networks and Applications 2
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- Advanced Database Systems and Queries 3
- Co-authors
- Martin Sarnovský (7 shared papers)Kristína Machová (1 shared paper)Ladislav Hluchý (3 shared papers)Juraj Bartók (4 shared papers)Peter Butka (3 shared papers)Ján Paralič (6 shared papers)Viktor Demko (1 shared paper)František Babič (6 shared papers)
- Journals
- Big Data and Cognitive Computing (1 paper)Acta Polytechnica Hungarica (1 paper)Journal of Cosmology and Astroparticle Physics (1 paper)Processes (1 paper)Computer Science and Information Systems (1 paper)
- Partner nations
- SlovakiaIndiaUnited States
In The Last Decade
Peter Bednár
16 papers receiving 113 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 20
- Environmental Engineering 23
- Artificial Intelligence 49
- Information Systems 33
- Management Information Systems 12
Countries citing papers authored by Peter Bednár
This map shows the geographic impact of Peter Bednár'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 Peter Bednár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bednár more than expected).
Fields of papers citing papers by Peter Bednár
This network shows the impact of papers produced by Peter Bednár. 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 Peter Bednár. The network helps show where Peter Bednár may publish in the future.
Co-authors
The 11 scholars most cited alongside Peter Bednár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 31 | |
| 2 | 2010 | 25 | |
| 3 | 2018 | 19 | |
| 4 | 2008 | 13 | |
| 5 | Data Mining for Fog Prediction and Low Clouds Detection | 2013 | 6 |
| 6 | 2014 | 6 | |
| 7 | 2019 | 5 | |
| 8 | 2017 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2025 | 0 | |
| 19 | KP-Lab System for the Support of Collaborative Learning and Working Practices, Based on Trialogical Learning | 2010 | 0 |
| 20 | 2023 | 0 |
About Peter Bednár
Peter Bednár is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Information Systems, Information Systems and Signal Processing, having authored 20 papers that have together received 129 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Big Data and Business Intelligence (4 papers), Meteorological Phenomena and Simulations (3 papers), Cognitive Computing and Networks (3 papers), Advanced Computational Techniques and Applications (3 papers), Advanced Database Systems and Queries (3 papers), Neural Networks and Applications (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Signal Processing (20 citations), Environmental Engineering (23 citations), Artificial Intelligence (49 citations), Information Systems (33 citations) and Management Information Systems (12 citations). Peter Bednár has collaborated with scholars based in Slovakia, India and United States. Frequent co-authors include Martin Sarnovský, Kristína Machová, Ladislav Hluchý, Juraj Bartók, Peter Butka, Ján Paralič, Viktor Demko, František Babič, J. Kováč and Martin Gera. Their work appears in journals such as Big Data and Cognitive Computing, Acta Polytechnica Hungarica, Journal of Cosmology and Astroparticle Physics, Processes and Computer Science and Information 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.