Peter Husár

49 papers receiving 305 citations

Peers

Peter Husár
Comparison fields: 5 of 80
  • Computational Mathematics 27
  • Signal Processing 89
  • Cognitive Neuroscience 130
  • Cellular and Molecular Neuroscience 59
  • Human-Computer Interaction 16
Replace Bahador Makkiabadi with:
Bahador Makkiabadi Iran
Kyuwan Choi Japan
Maxime Bérar France
C. Mestais France
Zhenghua Wu China
Benjamin D. Haeffele United States
Majdi Alnowami Saudi Arabia
Sh‐Hussain Salleh Malaysia
Kiwoon Kwon South Korea
Iñaki Romero Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Peter Husár

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Husár Line = papers co-authored together Peter Husár links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199841
2 200932
3 201325
4 201221
5 201220
6 199719
7 199515
8
Temporally resolved multi-way component analysis of dynamic sources in event-related EEG data using parafac2
201010
9 201510
10 20109
11 20148
12 20107
13 20107
14 20056
15 20105
16 20185
17 20025
18 20145
19 20165
20 20104

About Peter Husár

Peter Husár is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Signal Processing, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 55 papers that have together received 320 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Blind Source Separation Techniques (13 papers), Non-Invasive Vital Sign Monitoring (12 papers), Optical Imaging and Spectroscopy Techniques (11 papers), EEG and Brain-Computer Interfaces (9 papers), Hemodynamic Monitoring and Therapy (6 papers), Neuroscience and Neural Engineering (5 papers) and Wireless Power Transfer Systems (5 papers). The work is most often cited by research in Computational Mathematics (27 citations), Signal Processing (89 citations), Cognitive Neuroscience (130 citations), Cellular and Molecular Neuroscience (59 citations) and Human-Computer Interaction (16 citations). Peter Husár has collaborated with scholars based in Germany, Slovakia and United States. Frequent co-authors include Martin Weis, Martin Haardt, Emmanouil Ζ. Psarakis, George V. Moustakides, Athanasios P. Liavas, Florian Römer, Frank Klefenz, Sebastian Ley, Andreas Schober and Florian Roemer. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Biomedizinische Technik/Biomedical Engineering, IEEE Sensors Journal, IEEE Transactions on Biomedical Circuits and Systems and Nanoscale.

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.

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