Csaba Rekeczky
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Tamás RoskaÁkos ZarándyLeon O. ChuaPéter FöldesyAkio UshidaD.L. VilariñoIstván SzatmáriPéter Szolgay
- Topics
- Advanced Memory and Neural Computing (18 papers)Neural Networks Stability and Synchronization (18 papers)Neural Networks and Applications (13 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsArtificial Intelligence
- Journals
- IEEE Transactions on Biomedical EngineeringJournal of Systems ArchitectureInternational Journal of Circuit Theory and Applications
- Partner nations
- HungaryUnited StatesSpain
In The Last Decade
Csaba Rekeczky
52 papers receiving 496 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 274
- Electrical and Electronic Engineering 216
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 122
- Computational Theory and Mathematics 99
Countries citing papers authored by Csaba Rekeczky
This map shows the geographic impact of Csaba 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 Csaba Rekeczky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Rekeczky more than expected).
Fields of papers citing papers by Csaba Rekeczky
This network shows the impact of papers produced by Csaba 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 Csaba Rekeczky. The network helps show where Csaba Rekeczky may publish in the future.
Co-authorship network of co-authors of Csaba Rekeczky
This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Rekeczky. A scholar is included among the top collaborators of Csaba Rekeczky 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 Csaba Rekeczky. Csaba Rekeczky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | Configurable 3D-integrated focal-plane sensor-processor array architecture | 9 |
| 3 | 1 | |
| 4 | Topographic cellular active contour techniques: theory, implementations and comparisons: Research Articles | 4 |
| 5 | Bi-i: a standalone cellular vision system. Part I. Architecture and ultra high frame rate processing examples | 6 |
| 6 | Bi-i: a standalone cellular vision system. Part II: Topographic and non-topographic algorithms and related applications | 3 |
| 7 | Two-wavelength POAC (Programmable Opto-Electronic Analogic Computer) using bacteriorhodopsin as dynamic holographic material | 2 |
| 8 | Classification of spatio-temporal features: the nearest neighbor family | 2 |
| 9 | Active Wave Computing on Silicon: Chip Experiments | 2 |
| 10 | Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer | 3 |
| 11 | Adaptive Simulated Annealing in CNN Template Learning | 13 |
| 12 | Skeletonization and the shortest path problem - theoretical investigation and algorithms for CNN universal chips | 3 |
| 13 | 3 | |
| 14 | Computing with front propagation: evolving interfaces and active contour models in continuous-time CNN | 2 |
| 15 | Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template | 2 |
| 16 | CNN template optimization by adaptive simulated annealing | 3 |
| 17 | Feature extraction of postage stamps using an iterative approach of CNN | 5 |
| 18 | Analogic CNN algorithms in bronchogenic carcinoma analysis | 3 |
| 19 | Rotation invariant detection of moving and standing objects using analogic cellular neural network algorithms based on ring codes | 5 |
| 20 | 8 |
About Csaba Rekeczky
Csaba Rekeczky is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Neural Networks Stability and Synchronization (18 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Computer Networks and Communications (274 citations), Computational Theory and Mathematics (99 citations) and Artificial Intelligence (196 citations). Csaba Rekeczky has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include Tamás Roska, Ákos Zarándy, Leon O. Chua, Péter Földesy, Akio Ushida, D.L. Vilariño, István Szatmári, Péter Szolgay, Yoshifumi Nishio and Frank S. Werblin. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Systems Architecture 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.