Richard B. McHugh

51 total papers · 1.3k total citations
44 papers, 989 citations indexed

About

Richard B. McHugh is a scholar working on Statistics and Probability, Management Science and Operations Research and Oncology. According to data from OpenAlex, Richard B. McHugh has authored 44 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 5 papers in Oncology. Recurrent topics in Richard B. McHugh's work include Statistical Methods in Clinical Trials (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Optimal Experimental Design Methods (6 papers). Richard B. McHugh is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Optimal Experimental Design Methods (6 papers). Richard B. McHugh collaborates with scholars based in United States, Netherlands and United Kingdom. Richard B. McHugh's co-authors include Bruce Lee Pihlstrom, Leonard M. Schuman, Jack S. Mandel, Seymour H. Levitt, John P. Matts, Guy S. Perry, Beatrice D. Spector, John H. Kersey, Vernon Anderson and William Krivit and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Cancer.

In The Last Decade

Richard B. McHugh

41 papers receiving 853 citations

Author Peers

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

Author						Papers	Cites
Richard B. McHugh	287	192	163	139	121	44	989
Matias Knuuttila	207 0.7×	9 0.0×	58 0.4×	14 0.1×	179 1.5×	37	930
Elisabetta Petracci	11 0.0×	9 0.0×	52 0.3×	72 0.5×	474 3.9×	61	1.1k
Haiyan Zheng	19 0.1×	52 0.3×	28 0.2×	8 0.1×	34 0.3×	68	1.1k
Juan Manuel Romero	522 1.8×		262 1.6×	22 0.2×	129 1.1×	65	1.2k
Jeffrey C. Miecznikowski	97 0.3×	32 0.2×	4 0.0×	5 0.0×	85 0.7×	59	1.2k
Louis M. Abbey	420 1.5×	1 0.0×	475 2.9×	13 0.1×	100 0.8×	40	1.1k
Matthew J. Lin	85 0.3×	1 0.0×	32 0.2×	50 0.4×	159 1.3×	43	853
Paul Silcocks	30 0.1×	14 0.1×	14 0.1×	4 0.0×	251 2.1×	39	969
Aseel Marahleh	108 0.4×		40 0.2×	21 0.2×	217 1.8×	42	1.1k
Michaelina Macluskey	184 0.6×		117 0.7×	6 0.0×	256 2.1×	49	1.1k

Countries citing papers authored by Richard B. McHugh

Since Specialization

Citations

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

Fields of papers citing papers by Richard B. McHugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard B. McHugh. 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 Richard B. McHugh. The network helps show where Richard B. McHugh may publish in the future.

Co-authorship network of co-authors of Richard B. McHugh

This figure shows the co-authorship network connecting the top 25 collaborators of Richard B. McHugh. A scholar is included among the top collaborators of Richard B. McHugh 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 Richard B. McHugh. Richard B. McHugh 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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