Peter Drotár
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Physiology top 5%
- Voice and Speech Disorders
Papers in
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- Imbalanced Data Classification Techniques 8
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- Face and Expression Recognition 9
- Co-authors
- Zdeněk Smékal (10 shared papers)Jiří Mekyska (6 shared papers)Irena Rektorová (6 shared papers)Marcos Faúndez-Zanuy (6 shared papers)Lucia Masárová (5 shared papers)Matej Gazda (12 shared papers)Liberios Vokorokos (5 shared papers)Juraj Gazda (18 shared papers)
In The Last Decade
Peter Drotár
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Neurology 455
- Physiology 497
- Computer Vision and Pattern Recognition 289
- Human-Computer Interaction 75
- Artificial Intelligence 418
Countries citing papers authored by Peter Drotár
This map shows the geographic impact of Peter Drotár'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 Drotár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Drotár more than expected).
Fields of papers citing papers by Peter Drotár
This network shows the impact of papers produced by Peter Drotár. 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 Drotár. The network helps show where Peter Drotár may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Drotár, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 257 | |
| 2 | 2014 | 146 | |
| 3 | 2014 | 119 | |
| 4 | 2021 | 99 | |
| 5 | 2019 | 77 | |
| 6 | 2018 | 76 | |
| 7 | 2020 | 74 | |
| 8 | 2015 | 69 | |
| 9 | 2021 | 66 | |
| 10 | 2022 | 65 | |
| 11 | 2019 | 56 | |
| 12 | 2013 | 56 | |
| 13 | 2021 | 53 | |
| 14 | 2013 | 51 | |
| 15 | 2021 | 49 | |
| 16 | 2018 | 42 | |
| 17 | 2018 | 26 | |
| 18 | 2021 | 21 | |
| 19 | 2014 | 19 | |
| 20 | 2023 | 18 |
About Peter Drotár
Peter Drotár is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Physiology, Molecular Biology and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Voice and Speech Disorders (13 papers), Face and Expression Recognition (9 papers), PAPR reduction in OFDM (9 papers), Gene expression and cancer classification (9 papers), Advanced Wireless Communication Techniques (9 papers), Imbalanced Data Classification Techniques (8 papers), Financial Distress and Bankruptcy Prediction (6 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Neurology (455 citations), Physiology (497 citations), Computer Vision and Pattern Recognition (289 citations), Human-Computer Interaction (75 citations) and Artificial Intelligence (418 citations). Peter Drotár has collaborated with scholars based in Slovakia, Czechia and Spain. Frequent co-authors include Zdeněk Smékal, Jiří Mekyska, Irena Rektorová, Marcos Faúndez-Zanuy, Lucia Masárová, Matej Gazda, Liberios Vokorokos, Juraj Gazda, Dinesh Kumar and Nemuel Daniel Pah. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine, PeerJ Computer Science, Artificial Intelligence Review and International Journal of Medical Informatics.
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.