Peter Husár
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Neural dynamics and brain function 16
- EEG and Brain-Computer Interfaces 11
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- Blind Source Separation Techniques 15
- Co-authors
- Martin Weis (8 shared papers)Martin Haardt (4 shared papers)Sebastian Ley (8 shared papers)Emmanouil Z. Psarakis (2 shared papers)Athanasios P. Liavas (2 shared papers)George V. Moustakides (2 shared papers)Frank Klefenz (3 shared papers)Florian Römer (1 shared paper)
In The Last Decade
Peter Husár
54 papers receiving 344 citations
Peers
Comparison fields: 5 of 80
- Computational Mathematics 33
- Signal Processing 95
- Cognitive Neuroscience 134
- Cellular and Molecular Neuroscience 60
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by Peter Husár
This map shows the geographic impact of Peter Husár'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 Husár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Husár more than expected).
Fields of papers citing papers by Peter Husár
This network shows the impact of papers produced by Peter Husár. 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 Husár. The network helps show where Peter Husár may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Husár, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 45 | |
| 2 | 2009 | 35 | |
| 3 | 2013 | 30 | |
| 4 | 2012 | 22 | |
| 5 | 2012 | 22 | |
| 6 | 1997 | 20 | |
| 7 | 1995 | 16 | |
| 8 | 2013 | 10 | |
| 9 | Temporally resolved multi-way component analysis of dynamic sources in event-related EEG data using parafac2 | 2010 | 10 |
| 10 | 2015 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2010 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2010 | 7 | |
| 15 | 2005 | 7 | |
| 16 | 2012 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2002 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2018 | 5 |
About Peter Husár
Peter Husár is a scholar working on Cognitive Neuroscience, Signal Processing, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biophysics, having authored 61 papers that have together received 361 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Blind Source Separation Techniques (15 papers), Non-Invasive Vital Sign Monitoring (14 papers), Optical Imaging and Spectroscopy Techniques (13 papers), EEG and Brain-Computer Interfaces (11 papers), Hemodynamic Monitoring and Therapy (6 papers), Neuroscience and Neural Engineering (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computational Mathematics (33 citations), Signal Processing (95 citations), Cognitive Neuroscience (134 citations), Cellular and Molecular Neuroscience (60 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Peter Husár has collaborated with scholars based in Germany, Slovakia and Greece. Frequent co-authors include Martin Weis, Martin Haardt, Sebastian Ley, Emmanouil Z. Psarakis, Athanasios P. Liavas, George V. Moustakides, Frank Klefenz, Florian Römer, Florian Roemer and Andreas Schober. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Biomedizinische Technik/Biomedical Engineering, Nanoscale, IEEE Transactions on Biomedical Circuits and Systems and IEEE Sensors Journal.
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.