Matthew D. Dean

23 total papers · 585 total citations
19 papers, 422 citations indexed

About

Matthew D. Dean is a scholar working on Emergency Medical Services, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Matthew D. Dean has authored 19 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Emergency Medical Services, 5 papers in Sociology and Political Science and 3 papers in Management Science and Operations Research. Recurrent topics in Matthew D. Dean's work include Disaster Response and Management (3 papers), Healthcare Operations and Scheduling Optimization (3 papers) and Complex Systems and Decision Making (2 papers). Matthew D. Dean is often cited by papers focused on Disaster Response and Management (3 papers), Healthcare Operations and Scheduling Optimization (3 papers) and Complex Systems and Decision Making (2 papers). Matthew D. Dean collaborates with scholars based in United States and Latvia. Matthew D. Dean's co-authors include M. Travis Maynard, Steven Thompson, Suresh K. Nair, John E. Mathieu, Robert Garfinkel, Manuel Núñez, Lauren D’Innocenzo, Margaret M. Luciano, Lucy L. Gilson and Diana R. Sanchez and has published in prestigious journals such as Journal of Applied Psychology, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Matthew D. Dean

18 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Matthew D. Dean	135	121	94	67	66	19	422
Calvin C. Hoffman	54 0.4×	166 1.4×	24 0.3×	86 1.3×	86 1.3×	18	484
Tuula Kivinen	74 0.5×	49 0.4×	27 0.3×	35 0.5×	29 0.4×	24	384
Christopher J. DeFlitch	176 1.3×	37 0.3×	167 1.8×	12 0.2×	45 0.7×	18	459
Enikö Zala-Mezö	70 0.5×	44 0.4×	18 0.2×	136 2.0×	50 0.8×	30	390
Karen L. Murrell	118 0.9×	57 0.5×	128 1.4×	16 0.2×	18 0.3×	12	471
Ramesh K. Shukla	39 0.3×	35 0.3×	26 0.3×	58 0.9×	83 1.3×	17	467
Barbara Künzle	141 1.0×	45 0.4×	43 0.5×	150 2.2×	40 0.6×	8	434
Jacqueline Griffin	113 0.8×	13 0.1×	50 0.5×	27 0.4×	35 0.5×	29	379
Domenico Salvatore	39 0.3×	170 1.4×	19 0.2×	30 0.4×	48 0.7×	15	444
Stephanie Zajac	45 0.3×	89 0.7×	15 0.2×	70 1.0×	37 0.6×	33	422

Countries citing papers authored by Matthew D. Dean

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Dean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Dean. 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 Matthew D. Dean. The network helps show where Matthew D. Dean may publish in the future.

Co-authorship network of co-authors of Matthew D. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Dean. A scholar is included among the top collaborators of Matthew D. Dean 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 Matthew D. Dean. Matthew D. Dean 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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