Ádám Rák
Impact in
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- Neuroscience and Neural Engineering
- Hardware and Architecture top 10%
Papers in
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- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 3
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- Neural Networks Stability and Synchronization 4
- Co-authors
- György Cserey (14 shared papers)Gábor János Tornai (2 shared papers)Themis Prodromakis (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)International Journal of Bifurcation and Chaos (1 paper)Chemical Physics Letters (1 paper)Wiley Interdisciplinary Reviews Computational Molecular Science (1 paper)International Journal of Circuit Theory and Applications (1 paper)
- Partner nations
- HungaryUnited Kingdom
In The Last Decade
Ádám Rák
14 papers receiving 336 citations
Peers
Comparison fields: 5 of 52
- Cellular and Molecular Neuroscience 133
- Hardware and Architecture 30
- Electrical and Electronic Engineering 228
- Cognitive Neuroscience 64
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Ádám Rák
This map shows the geographic impact of Ádám Rák'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 Ádám Rák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ádám Rák more than expected).
Fields of papers citing papers by Ádám Rák
This network shows the impact of papers produced by Ádám Rák. 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 Ádám Rák. The network helps show where Ádám Rák may publish in the future.
Co-authors
The 3 scholars most cited alongside Ádám Rák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 201 | |
| 2 | 2019 | 42 | |
| 3 | 2019 | 29 | |
| 4 | 2015 | 29 | |
| 5 | 2019 | 13 | |
| 6 | 2008 | 13 | |
| 7 | 2008 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2009 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2010 | 0 |
About Ádám Rák
Ádám Rák is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology, having authored 15 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Neural Networks Stability and Synchronization (4 papers), Neural Networks and Applications (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Chemical Physics Studies (2 papers), Neuroscience and Neural Engineering (2 papers), Protein Structure and Dynamics (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (133 citations), Hardware and Architecture (30 citations), Electrical and Electronic Engineering (228 citations), Cognitive Neuroscience (64 citations) and Statistical and Nonlinear Physics (29 citations). Ádám Rák has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include György Cserey, Gábor János Tornai and Themis Prodromakis. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Journal of Bifurcation and Chaos, Chemical Physics Letters, Wiley Interdisciplinary Reviews Computational Molecular Science and International Journal of Circuit Theory and Applications.
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.