Tamás Rudas

923 total citations
38 papers, 483 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 483 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, Harold D. Delaney, Scott E. Maxwell, Anna Klimová, Rebecca Zwick, Felicián Németh, Adrian Dobra and Andrew E. Czeizel 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 421 citations

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	On the use of historical estimates 2023 ·Statistical Papers ·Ori Davidov, Tamás Rudas	1
2	Pathways Between Social Science and Computational Social Science 2021 ·Tamás Rudas, Gábor Péli	4
3	Reducing Variance with Sample Allocation Based on Expected Response Rates in Stratified Sample Designs 2021 ·Journal of Survey Statistics and Methodology ·(unknown), Tamás Rudas	3
4	The presence of occupational structure in online texts based on word embedding NLP models 2020 ·arXiv (Cornell University) ·Zoltán Kmetty, Júlia Koltai, Tamás Rudas	2
5	On the role of the overall effects in exponential families. 2018 ·ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) ·Anna Klimová, Tamás Rudas	1
6	On the closure of relational models 2015 ·Journal of Multivariate Analysis ·Anna Klimová, Tamás Rudas	4
7	Coordinate-free analysis of trends in British social mobility 2012 ·Journal of Applied Statistics ·Anna Klimová, Tamás Rudas	5
8	Relational models for contingency tables 2011 ·Journal of Multivariate Analysis ·Anna Klimová, Tamás Rudas, Adrian Dobra	13
9	Marginal log-linear parameterization of conditional independence models 2010 ·Biometrika ·Tamás Rudas, Wicher Bergsma, Felicián Németh	19
10	Informative allocation and consistent treatment selection 2009 ·Statistical Methodology ·Tamás Rudas	0
11	On applications of marginal models for categorical data 2004 ·METRON ·Tamás Rudas, Wicher Bergsma	6
12	CANONICAL REPRESENTATION OF LOG-LINEAR MODELS 2002 ·Communication in Statistics- Theory and Methods ·Tamás Rudas	2
13	Modeling conditional and marginal association in contingency tables 2002 ·Annales de la faculté des sciences de Toulouse Mathématiques ·Wicher Bergsma, Tamás Rudas	7
14	Divergence minimization under prior inequality constraints 2002 ·University of Debrecen Electronic Archive (University of Debrecen) ·Imre Csiszár, Gábor Tusnády, Márton Ispány, Emese Verdes, (unknown), Tamás Rudas	2
15	The mixture index of fit and minimax regression 1999 ·Metrika ·Tamás Rudas	8
16	Odds Ratios in the Analysis of Contingency Tables 1999 ·Journal of the American Statistical Association ·(unknown), Tamás Rudas	6
17	Estimating the Importance of Differential Item Functioning 1997 ·Journal of Educational and Behavioral Statistics ·Tamás Rudas, Rebecca Zwick	12
18	ESTIMATING THE IMPORTANCE OF DIFFERENTIAL ITEM FUNCTIONING 1995 ·ETS Research Report Series ·Tamás Rudas, Rebecca Zwick	1
19	A New Index of Fit Based on Mixture Methods for the Analysis of Contingency Tables 1994 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Tamás Rudas, Clifford C. Clogg, Bruce G. Lindsay	61
20	A monte carlo comparison of the small sample behaviour of the pearson, the likelihood ratio and the cressie-read statistics 1986 ·Journal of Statistical Computation and Simulation ·Tamás Rudas	19

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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