C. Rekeczky
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- Neural Networks Stability and Synchronization 23
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- Neural dynamics and brain function 13
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- Neural Networks and Applications 14
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- Cellular Automata and Applications 5
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- Advanced Memory and Neural Computing 15
- CCD and CMOS Imaging Sensors 3
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- Advanced Vision and Imaging 3
- Handwritten Text Recognition Techniques 1
- Co-authors
- Ákos ZarándyT. RoskaÁ. Rodríguez‐VázquezIstván SzatmáriD. BályaD.L. VilariñoPéter FöldesyTeresa Serrano‐Gotarredona
- Journals
- International Journal of Bifurcation and Chaos (1 paper)IEEE Circuits and Systems Magazine (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)
- Partner nations
- HungaryUnited StatesSpain
In The Last Decade
C. Rekeczky
29 papers receiving 266 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 137
- Cognitive Neuroscience 65
- Artificial Intelligence 89
- Computational Theory and Mathematics 42
- Electrical and Electronic Engineering 151
Countries citing papers authored by C. Rekeczky
This map shows the geographic impact of C. Rekeczky'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 C. Rekeczky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Rekeczky more than expected).
Fields of papers citing papers by C. Rekeczky
This network shows the impact of papers produced by C. Rekeczky. 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 C. Rekeczky. The network helps show where C. Rekeczky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Rekeczky, 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 | 2005 | 44 | |
| 2 | 2005 | 12 | |
| 3 | 2004 | 2 | |
| 4 | 2004 | 14 | |
| 5 | 2004 | 15 | |
| 6 | 2004 | 15 | |
| 7 | 2003 | 37 | |
| 8 | 2003 | 4 | |
| 9 | 2003 | 3 | |
| 10 | 2003 | 4 | |
| 11 | 2003 | 9 | |
| 12 | 2003 | 1 | |
| 13 | 2002 | 25 | |
| 14 | 2002 | 8 | |
| 15 | 2002 | 6 | |
| 16 | 2002 | 1 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 10 | |
| 19 | 2002 | 4 | |
| 20 | 2000 | 16 |
About C. Rekeczky
C. Rekeczky is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Artificial Intelligence, having authored 29 papers that have together received 278 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (23 papers), Advanced Memory and Neural Computing (15 papers), Neural Networks and Applications (14 papers), Neural dynamics and brain function (13 papers), Cellular Automata and Applications (5 papers), CCD and CMOS Imaging Sensors (3 papers), Advanced Vision and Imaging (3 papers) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (137 citations), Cognitive Neuroscience (65 citations) and Artificial Intelligence (89 citations). C. Rekeczky has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include Ákos Zarándy, T. Roska, Á. Rodríguez‐Vázquez, István Szatmári, D. Bálya, D.L. Vilariño, Péter Földesy, Teresa Serrano‐Gotarredona, R. Domínguez‐Castro and S. Espejo. Their work appears in journals such as International Journal of Bifurcation and Chaos, IEEE Circuits and Systems Magazine, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Neural Networks and IEEE Transactions on Circuits and Systems I Fundamental 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.