Citations per year, relative to Tamás Roska Tamás Roska (= 1×)
peers
T. Roska
Countries citing papers authored by Tamás Roska
Since
Specialization
Citations
This map shows the geographic impact of Tamás 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 Tamás Roska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Roska more than expected).
This network shows the impact of papers produced by Tamás 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 Tamás Roska. The network helps show where Tamás Roska may publish in the future.
Co-authorship network of co-authors of Tamás Roska
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Roska.
A scholar is included among the top collaborators of Tamás 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 Tamás Roska. Tamás 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.
Roska, Tamás. (2008). An overview on emerging spatial wave logic for spatial-temporal events via cellular wave computers on flows and patterns. SZTAKI Publication Repository (Hungarian Academy of Sciences).2 indexed citations
2.
Roska, Tamás, et al.. (2004). Holistic feature extraction from handwritten words on wave computers. SZTAKI Publication Repository (Hungarian Academy of Sciences).4 indexed citations
3.
Cserey, György, András Falus, & Tamás Roska. (2003). Immune response inspired CNN algorithms for many-target detection. SZTAKI Publication Repository (Hungarian Academy of Sciences).3 indexed citations
4.
Roska, Tamás, et al.. (2003). Intimate integration of shape codes and linguistic framework in handwriting recognition via wave computers. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
5.
Roska, Tamás, et al.. (2003). Stability of multi-layer cellular neural/non-linear networks including a 2-layer complex cell CNN-UM. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
6.
Roska, Tamás & Ákos Zarándy. (2003). Proactive, adaptive, cellular sensory-computer architecture via extending the CNN univesal machine. SZTAKI Publication Repository (Hungarian Academy of Sciences).3 indexed citations
7.
Orzó, László, et al.. (2001). An advanced joint Fourier transform correlator (JTC). SZTAKI Publication Repository (Hungarian Academy of Sciences).7 indexed citations
8.
Orzó, László, et al.. (2001). Programmable opto-electronic CNN implementation provides a new and powerful tool for image processing applications. (Research report of the Analogical and Neural Computing Laboratory DNS-9-2001.). SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
9.
Zarándy, Ákos, et al.. (2000). 20 msec focal plane image processing. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
10.
Orzó, László, et al.. (2000). Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer. SZTAKI Publication Repository (Hungarian Academy of Sciences).3 indexed citations
11.
Rekeczky, Csaba, et al.. (1995). Analogic CNN algorithms in bronchogenic carcinoma analysis. SZTAKI Publication Repository (Hungarian Academy of Sciences).3 indexed citations
12.
Roska, Tamás & Tamás Szirányi. (1995). Classes of analogic CNN algorithms and their practical use in complex image processing tasks. SZTAKI Publication Repository (Hungarian Academy of Sciences).11 indexed citations
13.
Kozek, T., et al.. (1995). Smart image scanning algorithms for the CNN universal machine. SZTAKI Publication Repository (Hungarian Academy of Sciences).17 indexed citations
14.
Roska, Tamás, Leon O. Chua, & Ákos Zarándy. (1995). Translating neuromorphic CNN visual models to the analogic visual microprocessors. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
15.
Zarándy, Ákos, et al.. (1994). Novel types of analogic CNN algorithms for recognizing bank-notes. (Memorandum UCB/ERL M94/29.). SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
16.
Roska, Tamás, J. Hámori, E. Lábos, et al.. (1992). The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.). SZTAKI Publication Repository (Hungarian Academy of Sciences).2 indexed citations
17.
Roska, Tamás, et al.. (1992). The CNN universal machine Part 1: The architecture. SZTAKI Publication Repository (Hungarian Academy of Sciences).9 indexed citations
18.
Roska, Tamás, et al.. (1992). Stability of cellular neural networks with dominant nonlinear and delay-type templates. (Memo UCB/ERL No. M92/121.). SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
19.
Roska, Tamás. (1992). Programmable cellular neural networks - a state-of-the-art. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-1-1992.). SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
20.
Roska, Tamás, et al.. (1992). DUALCOMP dual CNN compiler to CNN-HAC1 board. Version 2.0. 1992. User's guide. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 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.