Mátyás Brendel

26 total papers · 434 total citations
15 papers, 231 citations indexed

About

Mátyás Brendel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mátyás Brendel has authored 15 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Mátyás Brendel's work include Neural Networks Stability and Synchronization (4 papers), Advanced Memory and Neural Computing (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mátyás Brendel is often cited by papers focused on Neural Networks Stability and Synchronization (4 papers), Advanced Memory and Neural Computing (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mátyás Brendel collaborates with scholars based in Hungary, France and United States. Mátyás Brendel's co-authors include Rémi Bardenet, T. Roska, Tamás Roska, Ákos Zarándy, L. Nemes, P. Szolgay, Laurence Devillers, Björn W. Schuller, Marc Schoenauer and Zoltán Vidnyánszky and has published in prestigious journals such as Osteoarthritis and Cartilage, International Journal of Bifurcation and Chaos and Language Resources and Evaluation.

In The Last Decade

Mátyás Brendel

15 papers receiving 218 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mátyás Brendel 140 57 39 38 28 15 231
Karl Jenkins 167 1.2× 28 0.5× 10 0.3× 61 1.6× 11 0.4× 13 318
Yasin Orouskhani 141 1.0× 17 0.3× 51 1.3× 45 1.2× 14 0.5× 10 323
Sonja Georgievska 53 0.4× 64 1.1× 18 0.5× 38 1.0× 8 0.3× 19 264
M. Sudha 69 0.5× 16 0.3× 35 0.9× 16 0.4× 20 0.7× 22 211
Deng Pan 90 0.6× 18 0.3× 10 0.3× 30 0.8× 21 0.8× 21 237
Antony Browne 125 0.9× 27 0.5× 18 0.5× 22 0.6× 18 0.6× 24 213
Yutao Zhang 176 1.3× 19 0.3× 10 0.3× 33 0.9× 9 0.3× 26 255
Diego Peteiro-Barral 149 1.1× 7 0.1× 55 1.4× 46 1.2× 30 1.1× 15 293
Chiara Orsini 103 0.7× 34 0.6× 131 3.4× 10 0.3× 11 0.4× 14 310
Ashish Ranjan 86 0.6× 28 0.5× 38 1.0× 24 0.6× 22 0.8× 21 277

Countries citing papers authored by Mátyás Brendel

Since Specialization
Citations

This map shows the geographic impact of Mátyás Brendel'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 Mátyás Brendel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mátyás Brendel more than expected).

Fields of papers citing papers by Mátyás Brendel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mátyás Brendel

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

All Works

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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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2026