Matthew D. Bailey

20 papers receiving 488 citations

Peers

Matthew D. Bailey
Comparison fields: 5 of 101
  • Emergency Medical Services 67
  • Statistics and Probability 64
  • Statistics, Probability and Uncertainty 38
  • Family Practice 8
  • Organizational Behavior and Human Resource Management 49
Replace Steven M. Shechter with:
Steven M. Shechter Canada
Zoie Shui-Yee Wong Japan
Yongjia Song United States
Lisa M. Maillart United States
Hamed Rahimian United States
Xuan Vinh Doan United Kingdom
Fanwen Meng Singapore
Stephen D. Roberts United States
Brian J. Lunday United States
Matthew D. Bailey relative to Steven M. Shechter Canada Steven M. Shechter's profile →
Citations per field
00.5×1.5×1.8×
Steven M. Shechter · 1×
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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008115
2 2005105
3 200890
4 201540
5 200635
6 201032
7 200521
8 200812
9 200811
10 200811
11 201911
12 20186
13 20096
14 20084
15
Communication Role Allocation for Joint Air Operations in a Network-Centric Environment
20063
16 20102
17 20172
18 20202
19 20052
20 20241

About Matthew D. Bailey

Matthew D. Bailey is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence and Aerospace Engineering, having authored 22 papers that have together received 511 indexed citations. Recurring topics across this work include Scheduling and Timetabling Solutions (3 papers), Military Strategy and Technology (3 papers), Healthcare Operations and Scheduling Optimization (3 papers), Military Defense Systems Analysis (3 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Spreadsheets and End-User Computing (2 papers) and Electric Power System Optimization (2 papers). The work is most often cited by research in Emergency Medical Services (67 citations), Statistics and Probability (64 citations), Statistics, Probability and Uncertainty (38 citations), Family Practice (8 citations) and Organizational Behavior and Human Resource Management (49 citations). Matthew D. Bailey has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Andrew J. Schaefer, Steven M. Shechter, Mark S. Roberts, Jorge Valenzuela, M. Mazumdar, Lizhi Wang, Madjid Tavana, David Michaels, John Bulger and Lisa M. Maillart. Their work appears in journals such as Decision Support Systems, Naval Research Logistics (NRL), European Journal of Operational Research, Operations Research Letters and Networks.

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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