Péter András

69 papers receiving 1.3k citations

Peers

Péter András
Comparison fields: 5 of 146
  • Health Informatics 21
  • Cognitive Neuroscience 230
  • Artificial Intelligence 328
  • Computer Vision and Pattern Recognition 184
  • Information Systems 196
Replace Antonio Chella with:
Antonio Chella Italy
Roberto Muñoz Chile
Magnus Boman Sweden
George Roussos United Kingdom
Newton Howard United States
Juan D. Velásquez Chile
Hyunwoo Kim South Korea
Muhammad Usman Ghani Khan Pakistan
George D. Magoulas United Kingdom
Emma Brunskill United States
Péter András relative to Antonio Chella Italy Antonio Chella's profile →
Citations per field
00.5×1.5×2.2×
Antonio Chella · 1×
Citations per year

Countries citing papers authored by Péter András

Since Specialization
Citations

This map shows the geographic impact of Péter András'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 Péter András with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter András more than expected).

Fields of papers citing papers by Péter András

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter András. 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 Péter András. The network helps show where Péter András may publish in the future.

Co-authors

The 25 scholars most cited alongside Péter András, 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 Péter András Line = papers co-authored together Péter András links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007173
2 2015125
3 2013101
4 201883
5 201668
6 202163
7 201963
8 201562
9 200349
10 202245
11 201934
12 201733
13 200732
14 201630
15 200228
16 200222
17 201621
18 200520
19 201720
20 200719

About Péter András

Péter András is a scholar working on Artificial Intelligence, Information Systems, Cognitive Neuroscience, Computer Networks and Communications and Sociology and Political Science, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neural Networks and Applications (10 papers), Software System Performance and Reliability (8 papers), Photoreceptor and optogenetics research (7 papers), Cloud Computing and Resource Management (6 papers), Privacy, Security, and Data Protection (6 papers), Advanced Memory and Neural Computing (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Health Informatics (21 citations), Cognitive Neuroscience (230 citations), Artificial Intelligence (328 citations), Computer Vision and Pattern Recognition (184 citations) and Information Systems (196 citations). Péter András has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nils Hammerla, Thomas Ploetz, Richard Walker, Lynn Rochester, Malcolm P. Young, Robert L. Martin, Marcus Kaiser, Zhong Fan, Reuben Kirkham and Zsolt Sándor. Their work appears in journals such as Neurocomputing, Construction and Building Materials, Science and Public Policy, Neural Processing Letters and Journal of Evaluation in Clinical Practice.

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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