Péter András

91 papers receiving 1.4k citations

Peers

Péter András
Comparison fields: 5 of 160
  • Health Informatics 26
  • Cognitive Neuroscience 266
  • Artificial Intelligence 375
  • Statistics, Probability and Uncertainty 73
  • Information Systems 212
Replace Antonio Moreno with:
Antonio Moreno Spain
Magnus Boman Sweden
Araceli Sanchis Spain
Aviv Segev Israel
Jelena Jovanović Serbia
Fang Han United States
David Gil Spain
Chen Wang China
Sandeep Subramanian Canada
George D. Magoulas United Kingdom
Péter András relative to Antonio Moreno Spain Antonio Moreno's profile →
Citations per field
00.5×9.1×
Antonio Moreno · 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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 2015124
3 2013100
4 201883
5 201668
6 201562
7 202162
8 201961
9 200350
10 202241
11 201734
12 200733
13 201933
14 201733
15 201630
16 200228
17 201127
18 200222
19 201621
20 200520

About Péter András

Péter András is a scholar working on Chemical Health and Safety, Cognitive Neuroscience, Artificial Intelligence, Statistics, Probability and Uncertainty and Information Systems, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neural Networks and Applications (16 papers), Software System Performance and Reliability (9 papers), Evolutionary Game Theory and Cooperation (9 papers), Photoreceptor and optogenetics research (8 papers), Neurobiology and Insect Physiology Research (7 papers), Cloud Computing and Resource Management (7 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Health Informatics (26 citations), Cognitive Neuroscience (266 citations), Artificial Intelligence (375 citations), Statistics, Probability and Uncertainty (73 citations) and Information Systems (212 citations). Péter András has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nils Hammerla, Thomas Ploetz, Lynn Rochester, Malcolm P. Young, Richard Walker, Robert L. Martin, Marcus Kaiser, Bruce G. Charlton, Zhong Fan and Pearl Brereton. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Journal of Evaluation in Clinical Practice, Journal of Cloud Computing Advances Systems and Applications and International Journal of Neural Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026