Péter András
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Neural Networks and Applications
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
Papers in
-
- Neural dynamics and brain function 16
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- Neural Networks and Applications 12
- Privacy-Preserving Technologies in Data 6
- Co-authors
- Zhong Fan (4 shared papers)Nils Hammerla (6 shared papers)Bruce G. Charlton (20 shared papers)Thomas Plötz (3 shared papers)Richard William Walker (3 shared papers)Lynn Rochester (3 shared papers)Malcolm P. Young (2 shared papers)Robert L. Martin (1 shared paper)
- Journals
- Neurocomputing (4 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Journal of Evaluation in Clinical Practice (2 papers)Artificial Life (2 papers)Construction and Building Materials (2 papers)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Péter András
102 papers receiving 2.2k citations
Péter András's Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 769
- Statistics, Probability and Uncertainty 132
- Computer Vision and Pattern Recognition 309
- Cognitive Neuroscience 211
- Physical Therapy, Sports Therapy and Rehabilitation 55
Countries citing papers authored by Péter András
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
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.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated learning with hierarchical clustering of local updates to improve training on non-IID data Hit paper breakdown → | 2020 | 489 |
| 2 | 2007 | 185 | |
| 3 | 2015 | 145 | |
| 4 | 2013 | 109 | |
| 5 | 2018 | 103 | |
| 6 | 2016 | 81 | |
| 7 | 2021 | 79 | |
| 8 | 2019 | 72 | |
| 9 | 2015 | 68 | |
| 10 | 2022 | 54 | |
| 11 | 2002 | 46 | |
| 12 | 2003 | 45 | |
| 13 | 2017 | 43 | |
| 14 | 2019 | 41 | |
| 15 | 2017 | 35 | |
| 16 | 2007 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2005 | 28 | |
| 19 | 2011 | 27 | |
| 20 | 2002 | 25 |
About Péter András
Péter András is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Statistics, Probability and Uncertainty, Information Systems and Information Systems and Management, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Neural Networks and Applications (12 papers), scientometrics and bibliometrics research (8 papers), Privacy-Preserving Technologies in Data (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Cloud Computing and Resource Management (5 papers), Neuroscience and Neural Engineering (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Artificial Intelligence (769 citations), Statistics, Probability and Uncertainty (132 citations), Computer Vision and Pattern Recognition (309 citations), Cognitive Neuroscience (211 citations) and Physical Therapy, Sports Therapy and Rehabilitation (55 citations). Péter András has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Zhong Fan, Nils Hammerla, Bruce G. Charlton, Thomas Plötz, Richard William Walker, Lynn Rochester, Malcolm P. Young, Robert L. Martin, Marcus Kaiser and Pearl Brereton A. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Journal of Evaluation in Clinical Practice, Artificial Life and Construction and Building Materials.
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.