Dániel Fogaras

16 total papers · 772 total citations
8 papers, 392 citations indexed

About

Dániel Fogaras is a scholar working on Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Dániel Fogaras has authored 8 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Dániel Fogaras's work include Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers) and Data Management and Algorithms (3 papers). Dániel Fogaras is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers) and Data Management and Algorithms (3 papers). Dániel Fogaras collaborates with scholars based in Hungary and United States. Dániel Fogaras's co-authors include Balázs Rácz, Tamás Sarlós, Károly Csalogány, Dániel Marx, Tibor Cinkler, Ellen M. Friedman and Kōkichi Sugihara and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Internet Mathematics and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Dániel Fogaras

8 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Dániel Fogaras 234 181 129 129 95 8 392
Huiming Qu 175 0.7× 138 0.8× 141 1.1× 55 0.4× 194 2.0× 14 387
Isabelle Stanton 143 0.6× 76 0.4× 116 0.9× 255 2.0× 184 1.9× 7 383
Makoto Nakatsuji 241 1.0× 129 0.7× 135 1.0× 152 1.2× 60 0.6× 26 369
Alexis Papadimitriou 192 0.8× 178 1.0× 121 0.9× 36 0.3× 121 1.3× 11 405
Zhiping Zeng 183 0.8× 84 0.5× 103 0.8× 189 1.5× 93 1.0× 6 373
Gabriela Jacques-Silva 147 0.6× 126 0.7× 140 1.1× 89 0.7× 306 3.2× 21 444
Christos Giatsidis 159 0.7× 234 1.3× 57 0.4× 82 0.6× 105 1.1× 11 357
Giang Nguyen 326 1.4× 201 1.1× 78 0.6× 49 0.4× 51 0.5× 7 404
Arnau Prat-Pèrez 187 0.8× 174 1.0× 97 0.8× 192 1.5× 168 1.8× 15 389
Daniel Zügner 275 1.2× 67 0.4× 58 0.4× 32 0.2× 51 0.5× 11 368

Countries citing papers authored by Dániel Fogaras

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Fogaras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Fogaras

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