Matthew J. Robbins

37 papers receiving 613 citations

Peers

Matthew J. Robbins
Comparison fields: 5 of 90
  • Aerospace Engineering 130
  • Organizational Behavior and Human Resource Management 125
  • Control and Systems Engineering 97
  • Automotive Engineering 92
  • Safety, Risk, Reliability and Quality 72
Replace Brian J. Lunday with:
Brian J. Lunday United States
Xiao-Min Hu China
Willem van Jaarsveld Netherlands
Monica Gentili Italy
Yongjia Song United States
Murray J. Côté United States
Taesik Lee South Korea
Nathaniel D. Bastian United States
Edward C. Sewell United States
Matthew J. Robbins relative to Brian J. Lunday United States Brian J. Lunday's profile →
Citations per field
00.5×1.5×
Brian J. Lunday · 1×
Citations per year

Countries citing papers authored by Matthew J. Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Robbins

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Robbins. A scholar is included among the top collaborators of Matthew J. Robbins 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 J. Robbins. Matthew J. Robbins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 2
4 5
5 22
6 13
7 27
8 55
9 6
10 3
11 5
12 3
13 48
14 29
15 25
16 9
17 26
18 19
19 2
20 13

About Matthew J. Robbins

Matthew J. Robbins is a scholar working on Organizational Behavior and Human Resource Management, Health and Emergency Medicine, having authored 38 papers that have together received 641 indexed citations. Recurring topics across this work include Facility Location and Emergency Management (14 papers), Military Defense Systems Analysis (8 papers) and Guidance and Control Systems (5 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (125 citations), Safety, Risk, Reliability and Quality (72 citations) and Automotive Engineering (92 citations). Matthew J. Robbins has collaborated with scholars based in United States. Frequent co-authors include Brian J. Lunday, Sheldon H. Jacobson, Phillip R. Jenkins, Sarah G. Nurre, Michael T. Davis, Alexander Nikolaev, James F. Morris, Richard F. Deckro, Nathaniel D. Bastian and Kevin C. Ryan. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

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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