Róbert Busa‐Fekete

78 total papers · 2.3k total citations
41 papers, 1.3k citations indexed

About

Róbert Busa‐Fekete is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Róbert Busa‐Fekete has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 7 papers in Signal Processing. Recurrent topics in Róbert Busa‐Fekete's work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (7 papers) and Speech Recognition and Synthesis (7 papers). Róbert Busa‐Fekete is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (7 papers) and Speech Recognition and Synthesis (7 papers). Róbert Busa‐Fekete collaborates with scholars based in Hungary, United States and France. Róbert Busa‐Fekete's co-authors include Balázs Kégl, György Szarvas, Richárd Farkas, Csaba Pál, Balázs Papp, Gergely Fekete, Viktória Lázár, Gábor Gosztolya, László Tóth and Orsolya Méhi and has published in prestigious journals such as Nature Communications, Antimicrobial Agents and Chemotherapy and Machine Learning.

In The Last Decade

Róbert Busa‐Fekete

40 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Róbert Busa‐Fekete 476 315 278 275 132 41 1.3k
Chuan Yi Tang 248 0.5× 595 1.9× 188 0.7× 146 0.5× 21 0.2× 144 1.7k
Andrés M. Alonso 169 0.4× 258 0.8× 87 0.3× 47 0.2× 104 0.8× 65 1.3k
Bernd Neumann 354 0.7× 138 0.4× 122 0.4× 26 0.1× 33 0.3× 98 1.3k
Weipeng Zhang 109 0.2× 368 1.2× 38 0.1× 91 0.3× 33 0.3× 97 1.4k
Christophe Guyeux 279 0.6× 432 1.4× 417 1.5× 44 0.2× 7 0.1× 139 1.6k
Ana M. Sahagún 552 1.2× 113 0.4× 47 0.2× 19 0.1× 75 0.6× 60 1.8k
José Manuel Azcona 267 0.6× 190 0.6× 138 0.5× 16 0.1× 54 0.4× 47 1.1k
Yang Qing 406 0.9× 343 1.1× 121 0.4× 92 0.3× 62 0.5× 161 1.7k
Devdatt Dubhashi 591 1.2× 200 0.6× 47 0.2× 43 0.2× 128 1.0× 71 1.5k
Xiaolei Xie 140 0.3× 288 0.9× 36 0.1× 105 0.4× 68 0.5× 90 1.5k

Countries citing papers authored by Róbert Busa‐Fekete

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Busa‐Fekete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Róbert Busa‐Fekete. 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 Róbert Busa‐Fekete. The network helps show where Róbert Busa‐Fekete may publish in the future.

Co-authorship network of co-authors of Róbert Busa‐Fekete

This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Busa‐Fekete. A scholar is included among the top collaborators of Róbert Busa‐Fekete 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 Róbert Busa‐Fekete. Róbert Busa‐Fekete 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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