Tamás Gergely

158 total papers · 790 total citations
57 papers, 463 citations indexed

About

Tamás Gergely is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tamás Gergely has authored 57 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Software, 28 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Tamás Gergely's work include Software Engineering Research (27 papers), Software Testing and Debugging Techniques (26 papers) and Software Reliability and Analysis Research (20 papers). Tamás Gergely is often cited by papers focused on Software Engineering Research (27 papers), Software Testing and Debugging Techniques (26 papers) and Software Reliability and Analysis Research (20 papers). Tamás Gergely collaborates with scholars based in Hungary, Russia and United States. Tamás Gergely's co-authors include Árpád Beszédes, Tibor Gyimóthy, János Csirik, Istvàn Németi, Hajnal Andréka, Ferenc Horváth, Peter Beck, Emmanouil G. Spanakis, Franco Chiarugi and Václav Rajlich and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Tamás Gergely

53 papers receiving 428 citations

Author Peers

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

Author Last Decade Papers Cites
Tamás Gergely 292 276 107 80 61 57 463
Aysu Betin-Can 255 0.9× 329 1.2× 167 1.6× 133 1.7× 51 0.8× 33 545
Jens H. Jahnke 208 0.7× 373 1.4× 251 2.3× 167 2.1× 29 0.5× 40 529
Dave Thomas 113 0.4× 285 1.0× 183 1.7× 143 1.8× 14 0.2× 53 454
Mikhail Auguston 191 0.7× 315 1.1× 314 2.9× 220 2.8× 45 0.7× 74 518
Jingde Cheng 125 0.4× 189 0.7× 174 1.6× 168 2.1× 55 0.9× 113 446
Christophe Dony 97 0.3× 280 1.0× 288 2.7× 153 1.9× 27 0.4× 77 500
Chiou Peng Lam 245 0.8× 179 0.6× 111 1.0× 131 1.6× 31 0.5× 50 423
James H. Hill 157 0.5× 185 0.7× 143 1.3× 150 1.9× 25 0.4× 54 408
Jim Welsh 141 0.5× 316 1.1× 275 2.6× 104 1.3× 23 0.4× 38 420
Roger Ferguson 277 0.9× 184 0.7× 31 0.3× 54 0.7× 17 0.3× 24 431

Countries citing papers authored by Tamás Gergely

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Gergely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Gergely

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Gergely. A scholar is included among the top collaborators of Tamás Gergely 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 Gergely. Tamás Gergely 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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