Gergely Ács

60 total papers · 1.9k total citations
20 papers, 419 citations indexed

About

Gergely Ács is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Gergely Ács has authored 20 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Gergely Ács's work include Privacy-Preserving Technologies in Data (8 papers), Mobile Ad Hoc Networks (7 papers) and Privacy, Security, and Data Protection (5 papers). Gergely Ács is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Mobile Ad Hoc Networks (7 papers) and Privacy, Security, and Data Protection (5 papers). Gergely Ács collaborates with scholars based in Hungary, France and United States. Gergely Ács's co-authors include Levente Buttyán, István Vajda, Claude Castelluccia, Mauro Conti, Paolo Gasti, Gene Tsudik, Cesar Ghali, Gergely Biczók, Christopher A. Wood and Andrew Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Mobile Computing and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Gergely Ács

20 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Gergely Ács 288 142 102 45 44 20 419
Jing Shi 266 0.9× 268 1.9× 67 0.7× 31 0.7× 24 0.5× 18 472
Mohamed Ahmed 300 1.0× 72 0.5× 58 0.6× 51 1.1× 12 0.3× 22 459
Osman Khalid 273 0.9× 70 0.5× 74 0.7× 13 0.3× 21 0.5× 18 413
Jian Sun 233 0.8× 97 0.7× 111 1.1× 10 0.2× 14 0.3× 27 396
Sungwook Kim 53 0.2× 276 1.9× 104 1.0× 72 1.6× 23 0.5× 27 451
Travis Mayberry 175 0.6× 237 1.7× 102 1.0× 44 1.0× 86 2.0× 18 414
Hong Zhang 230 0.8× 90 0.6× 50 0.5× 23 0.5× 4 0.1× 27 385
Hosam Rowaihy 322 1.1× 108 0.8× 113 1.1× 16 0.4× 11 0.3× 17 390
Dian Shi 200 0.7× 250 1.8× 148 1.5× 25 0.6× 38 0.9× 15 469
Huaxin Li 119 0.4× 260 1.8× 87 0.9× 107 2.4× 47 1.1× 14 373

Countries citing papers authored by Gergely Ács

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Ács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Ács

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