Bernát Kocsis
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Social Psychology top 5%
- Co-authors
- Robert P. VertesMihály HajósGene G. KinneyViktor VargaLionel DahanAttila Sı́kGyörgy BuzsákiAnatol Bragin
- Topics
- Neuroscience and Neuropharmacology Research (52 papers)Memory and Neural Mechanisms (43 papers)Neural dynamics and brain function (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Physiology
- Partner nations
- United StatesHungaryCanada
In The Last Decade
Bernát Kocsis
88 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 3.4k
- Cellular and Molecular Neuroscience 3.2k
- Endocrine and Autonomic Systems 645
- Molecular Biology 624
- Social Psychology 322
Countries citing papers authored by Bernát Kocsis
This map shows the geographic impact of Bernát Kocsis'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 Bernát Kocsis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernát Kocsis more than expected).
Fields of papers citing papers by Bernát Kocsis
This network shows the impact of papers produced by Bernát Kocsis. 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 Bernát Kocsis. The network helps show where Bernát Kocsis may publish in the future.
Co-authorship network of co-authors of Bernát Kocsis
This figure shows the co-authorship network connecting the top 25 collaborators of Bernát Kocsis. A scholar is included among the top collaborators of Bernát Kocsis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernát Kocsis. Bernát Kocsis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 48 | |
| 5 | 39 | |
| 6 | 131 | |
| 7 | 34 | |
| 8 | 35 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 112 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 65 | |
| 16 | 81 | |
| 17 | 11 | |
| 18 | 87 | |
| 19 | 11 | |
| 20 | 16 |
About Bernát Kocsis
Bernát Kocsis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 90 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (52 papers), Memory and Neural Mechanisms (43 papers) and Neural dynamics and brain function (24 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), Cellular and Molecular Neuroscience (3.2k citations) and Endocrine and Autonomic Systems (645 citations). Bernát Kocsis has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Robert P. Vertes, Mihály Hajós, Gene G. Kinney, Viktor Varga, Lionel Dahan, Attila Sı́k, György Buzsáki, Anatol Bragin, William E. Hoffmann and Shaomin Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Physiology.
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.