Péter András

80 papers receiving 1.5k citations

Peers

Péter András
Comparison fields: 5 of 149
  • Health Informatics 24
  • Cognitive Neuroscience 258
  • Artificial Intelligence 384
  • Information Systems 231
  • Computer Vision and Pattern Recognition 199
Replace Antonio Chella with:
Antonio Chella Italy
Hyunwoo Kim South Korea
Newton Howard United States
Muhammad Usman Ghani Khan Pakistan
Juan D. Velásquez Chile
M. P. S. Bhatia India
Caroline Jay United Kingdom
Carl Yang United States
Toyoaki Nishida Japan
Felipe Meneguzzi Brazil
Péter András relative to Antonio Chella Italy Antonio Chella's profile →
Citations per field
00.5×1.6×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007188
2 2015136
3 2013106
4 201898
5 201674
6 202172
7 201969
8 201563
9 200354
10 202246
11 201940
12 200239
13 200736
14 201735
15 201631
16 200526
17 201724
18 200224
19 201621
20 200320

About Péter András

Péter András is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Cognitive Neuroscience and Sociology and Political Science, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Software System Performance and Reliability (10 papers), Neural Networks and Applications (10 papers), Photoreceptor and optogenetics research (8 papers), Evolutionary Game Theory and Cooperation (7 papers), Advanced Memory and Neural Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Health Informatics (24 citations), Cognitive Neuroscience (258 citations), Artificial Intelligence (384 citations), Information Systems (231 citations) and Computer Vision and Pattern Recognition (199 citations). Péter András has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nils Hammerla, Thomas Ploetz, Lynn Rochester, Malcolm P. Young, Richard Walker, Robert L. Martin, Marcus Kaiser, Zhong Fan, Zsolt Sándor and Reuben Kirkham. Their work appears in journals such as Neurocomputing, Journal of Evaluation in Clinical Practice, Construction and Building Materials, Journal of Cloud Computing Advances Systems and Applications and Artificial Life.

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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