George Karabatsos

102 total papers · 2.2k total citations
54 papers, 1.6k citations indexed

About

George Karabatsos is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, George Karabatsos has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in George Karabatsos's work include Statistical Methods and Bayesian Inference (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (13 papers). George Karabatsos is often cited by papers focused on Statistical Methods and Bayesian Inference (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (13 papers). George Karabatsos collaborates with scholars based in United States, United Kingdom and Canada. George Karabatsos's co-authors include Mary P. Koss, Sarah E. Ullman, Stephen G. Walker, David Cella, Jennifer M. Stewart, B. G. W. Arnason, Kelly K. Dineen, Stephen Lloyd, Kimberly Webster and Dusan Stefoski and has published in prestigious journals such as Neurology, Statistics in Medicine and Psychometrika.

In The Last Decade

George Karabatsos

53 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
George Karabatsos	291	279	268	263	250	54	1.6k
Allan L. McCutcheon	77 0.3×	42 0.2×	672 2.5×	85 0.3×	246 1.0×	28	2.3k
Gerhard Arminger	258 0.9×	31 0.1×	209 0.8×	40 0.2×	479 1.9×	40	1.6k
Xiao Song	32 0.1×	67 0.2×	108 0.4×	86 0.3×	577 2.3×	59	1.6k
David J. Armor	57 0.2×	152 0.5×	466 1.7×	78 0.3×	54 0.2×	67	2.2k
Gilbert Ritschard	84 0.3×	19 0.1×	735 2.7×	139 0.5×	77 0.3×	50	1.9k
John J. Dziak	48 0.2×	46 0.2×	221 0.8×	33 0.1×	172 0.7×	42	1.8k
Matthias Studer	74 0.3×	22 0.1×	769 2.9×	151 0.6×	65 0.3×	35	2.0k
Dale E. Berger	39 0.1×	84 0.3×	312 1.2×	36 0.1×	114 0.5×	90	2.1k
Hyewon Chung	87 0.3×	256 0.9×	247 0.9×	14 0.1×	75 0.3×	106	1.7k
Geofferey N. Masters	512 1.8×	29 0.1×	146 0.5×	22 0.1×	227 0.9×	23	2.1k

Countries citing papers authored by George Karabatsos

Since Specialization

Citations

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

Fields of papers citing papers by George Karabatsos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Karabatsos

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