Tamás Rudas

99 total papers · 922 total citations
38 papers, 486 citations indexed

About

Tamás Rudas is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Tamás Rudas has authored 38 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Tamás Rudas's work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Bayesian Inference (9 papers) and Bayesian Modeling and Causal Inference (7 papers). Tamás Rudas is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), Statistical Methods and Bayesian Inference (9 papers) and Bayesian Modeling and Causal Inference (7 papers). Tamás Rudas collaborates with scholars based in Hungary, United States and Austria. Tamás Rudas's co-authors include Wicher Bergsma, Clifford C. Clogg, Bruce G. Lindsay, Scott E. Maxwell, Harold D. Delaney, Anna Klimová, Rebecca Zwick, Felicián Németh, András Vargha and Adrian Dobra and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Tamás Rudas

33 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Tamás Rudas	222	130	61	56	38	38	486
Wicher Bergsma	271 1.2×	179 1.4×	95 1.6×	32 0.6×	32 0.8×	27	540
Sik‐Yum Lee	381 1.7×	158 1.2×	94 1.5×	25 0.4×	54 1.4×	13	517
David J. Krus	91 0.4×	47 0.4×	65 1.1×	62 1.1×	23 0.6×	55	515
David H. Annis	93 0.4×	53 0.4×	43 0.7×	30 0.5×	113 3.0×	22	460
Bruno Lecoutre	255 1.1×	71 0.5×	89 1.5×	9 0.2×	33 0.9×	47	462
Fan Yang	61 0.3×	75 0.6×	66 1.1×	58 1.0×	8 0.2×	29	421
Jörg Drechsler	189 0.9×	256 2.0×	127 2.1×	142 2.5×	48 1.3×	35	551
Michael M. Meyer	64 0.3×	68 0.5×	26 0.4×	36 0.6×	20 0.5×	17	497
David Chavalarias	65 0.3×	42 0.3×	29 0.5×	78 1.4×	72 1.9×	26	547
Henry R. Neave	148 0.7×	85 0.7×	66 1.1×	9 0.2×	29 0.8×	47	496

Countries citing papers authored by Tamás Rudas

Since Specialization

Citations

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

Fields of papers citing papers by Tamás Rudas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Rudas

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