T. Roska

6.2k total citations · 2 hit papers
133 papers, 4.3k citations indexed

About

T. Roska is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, T. Roska has authored 133 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 86 papers in Electrical and Electronic Engineering and 78 papers in Artificial Intelligence. Recurrent topics in T. Roska's work include Neural Networks Stability and Synchronization (113 papers), Advanced Memory and Neural Computing (84 papers) and Neural Networks and Applications (74 papers). T. Roska is often cited by papers focused on Neural Networks Stability and Synchronization (113 papers), Advanced Memory and Neural Computing (84 papers) and Neural Networks and Applications (74 papers). T. Roska collaborates with scholars based in Hungary, United States and Spain. T. Roska's co-authors include Leon O. Chua, Chai Wah Wu, Ákos Zarándy, T. Kozek, Marco Balsi, Á. Rodríguez‐Vázquez, P.L. Venetianer, Marco Gilli, F. Werblin and Dietrich E. Wolf and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal of Solid-State Circuits and Physica D Nonlinear Phenomena.

In The Last Decade

T. Roska

125 papers receiving 4.0k citations

Hit Papers

The CNN paradigm 1993 2026 2004 2015 1993 1993 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The CNN paradigm
    1993 873 citations Leon O. Chua, T. Roska IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications profile →
  2. The CNN universal machine: an analogic array computer
    1993 719 citations T. Roska, Leon O. Chua IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Roska Hungary 26 3.1k 1.8k 1.7k 897 778 133 4.3k
L. Yang United States 3 4.4k 1.4× 1.8k 1.0× 2.3k 1.3× 1.6k 1.8× 1.0k 1.3× 7 5.3k
Tamás Roska Hungary 19 1.5k 0.5× 1.4k 0.8× 845 0.5× 547 0.6× 403 0.5× 130 2.6k
Á. Rodríguez‐Vázquez Spain 36 1.3k 0.4× 3.5k 2.0× 1.2k 0.7× 644 0.7× 507 0.7× 450 5.2k
Mauro Forti Italy 28 2.8k 0.9× 1.6k 0.9× 1.6k 0.9× 1.7k 1.9× 237 0.3× 128 3.9k
Fei Yu China 45 1.3k 0.4× 1.8k 1.0× 1.1k 0.7× 2.7k 3.0× 379 0.5× 217 5.3k
Esteban Tlelo‐Cuautle Mexico 38 1.1k 0.4× 1.5k 0.8× 989 0.6× 2.5k 2.8× 757 1.0× 291 4.9k
Christos Volos Greece 46 2.9k 0.9× 1.1k 0.6× 753 0.4× 5.0k 5.6× 343 0.4× 278 6.4k
Zhenyuan Guo China 37 3.0k 1.0× 1.9k 1.1× 921 0.5× 1.8k 2.0× 155 0.2× 108 3.9k
A. Tesi Italy 30 1.4k 0.5× 638 0.4× 853 0.5× 1.4k 1.5× 547 0.7× 175 4.3k
Hairong Lin China 38 1.3k 0.4× 2.0k 1.1× 1.0k 0.6× 2.5k 2.7× 174 0.2× 72 4.0k

Countries citing papers authored by T. Roska

Since Specialization
Citations

This map shows the geographic impact of T. Roska'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 T. Roska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Roska more than expected).

Fields of papers citing papers by T. Roska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Roska. 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 T. Roska. The network helps show where T. Roska may publish in the future.

Co-authorship network of co-authors of T. Roska

This figure shows the co-authorship network connecting the top 25 collaborators of T. Roska. A scholar is included among the top collaborators of T. Roska 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 T. Roska. T. Roska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ercsey-Ravasz, Mária, T. Roska, & Zoltán Néda. (2008). Statistical physics on cellular neural network computers. Physica D Nonlinear Phenomena. 237(9). 1226–1234. 9 indexed citations
2.
Cserey, György, András Falus, Wolfgang Porod, & T. Roska. (2005). Feature extraction CNN algorithms for artificial immune systems. 12. 147–152. 7 indexed citations
3.
Kim, Hyongsuk, et al.. (2004). Very high speed Viterbi decoder with circularly connected analog CNN cell array. III–97. 3 indexed citations
4.
Domínguez‐Castro, R., et al.. (2003). A bio-inspired two-layer mixed-signal flexible programmable chip for early vision. IEEE Transactions on Neural Networks. 14(5). 1313–1336. 37 indexed citations
5.
Orzó, László, et al.. (2003). Application issues of a programmable optical CNN implementation. 46. 156–163. 2 indexed citations
6.
Gilli, Marco, T. Roska, Leon O. Chua, & Pier Paolo Civalleri. (2003). On the relationship between CNNs and PDEs. 16–24. 9 indexed citations
7.
Kim, Hyongsuk, et al.. (2003). Analog addition/subtraction on the cnn-um chip with short-time superimposition of input signals. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 50(3). 429–432. 6 indexed citations
8.
Rekeczky, C., Teresa Serrano‐Gotarredona, T. Roska, & Á. Rodríguez‐Vázquez. (2002). A stored program 2/sup nd/ order/3-layer complex cell CNN-UM. 213–217. 25 indexed citations
9.
Shi, Bertram E., et al.. (2002). Random variations in CNN templates: theoretical models and empirical studies. 27–32. 1 indexed citations
10.
Brendel, Mátyás & T. Roska. (2002). Adaptive image sensing and enhancement using the adaptive cellular neural network Universal Machine. 35. 93–98. 3 indexed citations
11.
Werblin, F., Botond Roska, D. Bálya, C. Rekeczky, & T. Roska. (2002). Implementing a retinal visual language in CNN: a neuromorphic study. 2. 333–336. 8 indexed citations
12.
Roska, T.. (2002). CNN chip set architectures and the visual mouse. 487–492. 7 indexed citations
13.
Roska, T., et al.. (2002). Techniques for constructing physiologically motivated neuromorphic models in CNN. 53–58. 6 indexed citations
14.
Crounse, K.R., T. Roska, & Leon O. Chua. (2002). Some methods for practical halftoning on the CNN universal machine. 337–342. 2 indexed citations
15.
Roska, T., et al.. (2000). Towards the visual microprocessor : VLSI design and the use of cellular neural network universal machines. Wiley eBooks. 7 indexed citations
16.
Domínguez‐Castro, R., S. Espejo, Á. Rodríguez‐Vázquez, et al.. (1997). A 0.8-μm CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage. IEEE Journal of Solid-State Circuits. 32(7). 1013–1026. 117 indexed citations
17.
Roska, T., et al.. (1996). On object-oriented video coding using the CNN universal machine. SZTAKI Publication Repository (Hungarian Academy of Sciences). 13 indexed citations
18.
Chua, Leon O., T. Roska, T. Kozek, & Ákos Zarándy. (1996). CNN universal chips crank up the computing power. IEEE Circuits and Devices Magazine. 12(4). 18–28. 21 indexed citations
19.
Chua, Leon O. & T. Roska. (1993). The CNN paradigm. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 40(3). 147–156. 873 indexed citations breakdown →
20.
Shi, Bertram E., T. Roska, & Leon O. Chua. (1993). Design of linear cellular neural networks for motion sensitive filtering. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 40(5). 320–331. 31 indexed citations

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.

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