Matthew D. Bailey

19 papers receiving 366 citations

Peers

Matthew D. Bailey
Comparison fields: 5 of 95
  • Emergency Medical Services 56
  • Statistics and Probability 42
  • Statistics, Probability and Uncertainty 36
  • Organizational Behavior and Human Resource Management 46
  • Civil and Structural Engineering 91
Replace Yongjia Song with:
Yongjia Song United States
Steven M. Shechter Canada
Xuan Vinh Doan United Kingdom
Hamed Rahimian United States
Young‐Taek Park South Korea
Kazim Topuz United States
Lisa M. Maillart United States
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Matthew D. Bailey relative to Yongjia Song United States Yongjia Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew D. Bailey

Since Specialization
Citations

This map shows the geographic impact of Matthew D. Bailey'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. Bailey 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. Bailey more than expected).

Fields of papers citing papers by Matthew D. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Matthew D. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew D. Bailey Line = papers co-authored together Matthew D. Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008106
2 200885
3 201538
4 200635
5 201031
6 200521
7 200811
8 200811
9 201910
10 20089
11 20186
12 20094
13
Communication Role Allocation for Joint Air Operations in a Network-Centric Environment
20063
14 20083
15 20102
16 20052
17 20202
18 20172
19 20241
20 20250

About Matthew D. Bailey

Matthew D. Bailey is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Aerospace Engineering, having authored 20 papers that have together received 382 indexed citations. Recurring topics across this work include Military Defense Systems Analysis (3 papers), Military Strategy and Technology (3 papers), Scheduling and Timetabling Solutions (3 papers), Healthcare Operations and Scheduling Optimization (2 papers), Smart Grid Energy Management (2 papers), Electric Power System Optimization (2 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Emergency Medical Services (56 citations), Statistics and Probability (42 citations), Statistics, Probability and Uncertainty (36 citations), Organizational Behavior and Human Resource Management (46 citations) and Civil and Structural Engineering (91 citations). Matthew D. Bailey has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Andrew J. Schaefer, Steven M. Shechter, Mark S. Roberts, Jorge Valenzuela, Lizhi Wang, M. Mazumdar, Madjid Tavana, Lisa M. Maillart, John Bulger and David Michaels. Their work appears in journals such as Decision Support Systems, European Journal of Applied Physiology, Naval Research Logistics (NRL), Journal of Medical Systems and Operations 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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