Matthew D. Dean

18 papers receiving 411 citations

Peers

Matthew D. Dean
Comparison fields: 5 of 101
  • Emergency Medical Services 137
  • Organizational Behavior and Human Resource Management 123
  • Emergency Medicine 96
  • Social Psychology 69
  • Sociology and Political Science 67
Replace Diane P. Bischak with:
Diane P. Bischak Canada
Larry A. Mallak United States
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Matthew D. Dean relative to Diane P. Bischak Canada Diane P. Bischak's profile →
Citations per field
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Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 5
2 1
3 68
4 3
5 10
6 11
7
Understanding Humanitarian Supply Chain Logistics with Systems Dynamics Modeling
1
8 4
9 74
10 62
11 11
12 7
13
Building ARIMA and ARIMAX Models for Predicting Long-Term Disability Benefit Application Rates in the Public/Private Sectors Sponsored by Society of Actuaries Health Section
4
14 21
15 41
16 0
17 24
18 65
19 16

About Matthew D. Dean

Matthew D. Dean is a scholar working on Emergency Medical Services, Medical Laboratory Technology and Organizational Behavior and Human Resource Management, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Disaster Response and Management (3 papers), Healthcare Operations and Scheduling Optimization (3 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Emergency Medical Services (137 citations), Organizational Behavior and Human Resource Management (123 citations) and Emergency Medicine (96 citations). Matthew D. Dean has collaborated with scholars based in United States and Latvia. Frequent co-authors include M. Travis Maynard, Suresh K. Nair, Steven Thompson, John E. Mathieu, Robert Garfinkel, Manuel Núñez, Lauren D’Innocenzo, Margaret M. Luciano, Lucy L. Gilson and Diana R. Sanchez. Their work appears in journals such as Journal of Applied Psychology, Communications of the ACM and European Journal of Operational Research.

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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