Roy T. Sabo

65 total papers · 552 total citations
29 papers, 335 citations indexed

About

Roy T. Sabo is a scholar working on Statistics and Probability, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Roy T. Sabo has authored 29 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 6 papers in General Health Professions and 6 papers in Management Science and Operations Research. Recurrent topics in Roy T. Sabo's work include Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo collaborates with scholars based in United States, United Kingdom and Switzerland. Roy T. Sabo's co-authors include Alex H. Krist, Steven H. Woolf, Camille J. Hochheimer, N. Rao Chaganty, John Cyrus, Teresa Day, Ghalib Bello, Khalid Kheirallah, Daniel R. Longo and Paulette Lail Kashiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Medical Internet Research.

In The Last Decade

Roy T. Sabo

26 papers receiving 324 citations

Author Peers

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

Author						Papers	Cites
Roy T. Sabo	114	63	48	48	33	29	335
Sebastian Stevens	145 1.3×	96 1.5×	16 0.3×	12 0.3×	30 0.9×	18	340
Lasse Østengaard	103 0.9×	87 1.4×	35 0.7×	6 0.1×	26 0.8×	17	367
Caroline Gray	130 1.1×	80 1.3×	48 1.0×	7 0.1×	9 0.3×	40	387
Ashley C Griffin	140 1.2×	75 1.2×	72 1.5×	8 0.2×	51 1.5×	23	336
Melek Somai	111 1.0×	112 1.8×	27 0.6×	6 0.1×	24 0.7×	19	307
Tayebeh Baniasadi	85 0.7×	54 0.9×	31 0.6×	5 0.1×	25 0.8×	23	389
M. Ataharul Islam	57 0.5×	18 0.3×	19 0.4×	17 0.4×	12 0.4×	18	310
Michael L. Millenson	152 1.3×	46 0.7×	50 1.0×	3 0.1×	22 0.7×	27	316
Laura Elizabeth Bedford	42 0.4×	58 0.9×	15 0.3×	10 0.2×	7 0.2×	28	321
Anja Rogausch	78 0.7×	127 2.0×	7 0.1×	12 0.3×	17 0.5×	21	372

Countries citing papers authored by Roy T. Sabo

Since Specialization

Citations

This map shows the geographic impact of Roy T. Sabo'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 Roy T. Sabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy T. Sabo more than expected).

Fields of papers citing papers by Roy T. Sabo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy T. Sabo. 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 Roy T. Sabo. The network helps show where Roy T. Sabo may publish in the future.

Co-authorship network of co-authors of Roy T. Sabo

This figure shows the co-authorship network connecting the top 25 collaborators of Roy T. Sabo. A scholar is included among the top collaborators of Roy T. Sabo 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 Roy T. Sabo. Roy T. Sabo 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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