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 7
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- Face and Expression Recognition 9
- Co-authors
- Zdeněk Smékal (10 shared papers)Jiří Mekyska (6 shared papers)Lucia Masárová (5 shared papers)Irena Rektorová (6 shared papers)Marcos Faúndez-Zanuy (6 shared papers)Matej Gazda (11 shared papers)Liberios Vokorokos (5 shared papers)Juraj Gazda (17 shared papers)
In The Last Decade
Peter Drotár
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Neurology 454
- Physiology 468
- Computer Vision and Pattern Recognition 260
- Human-Computer Interaction 70
- Artificial Intelligence 391
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 223 | |
| 2 | 2014 | 134 | |
| 3 | 2014 | 112 | |
| 4 | 2021 | 88 | |
| 5 | 2018 | 70 | |
| 6 | 2019 | 67 | |
| 7 | 2015 | 63 | |
| 8 | 2020 | 63 | |
| 9 | 2022 | 60 | |
| 10 | 2021 | 59 | |
| 11 | 2019 | 52 | |
| 12 | 2013 | 50 | |
| 13 | 2021 | 45 | |
| 14 | 2021 | 45 | |
| 15 | 2013 | 43 | |
| 16 | 2018 | 38 | |
| 17 | 2018 | 25 | |
| 18 | 2023 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2014 | 15 |
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 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Voice and Speech Disorders (14 papers), Face and Expression Recognition (9 papers), Gene expression and cancer classification (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Advanced Wireless Communication Techniques (8 papers), PAPR reduction in OFDM (8 papers), Imbalanced Data Classification Techniques (7 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Neurology (454 citations), Physiology (468 citations), Computer Vision and Pattern Recognition (260 citations), Human-Computer Interaction (70 citations) and Artificial Intelligence (391 citations). Peter Drotár has collaborated with scholars based in Slovakia, Czechia and Spain. Frequent co-authors include Zdeněk Smékal, Jiří Mekyska, Lucia Masárová, Irena Rektorová, Marcos Faúndez-Zanuy, 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, PeerJ Computer Science, Computers in Biology and Medicine, IEEE Transactions on Cognitive and Developmental Systems and Scientific Reports.
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.