Jerrold H. May

3.3k citations
70 papers · 2.3k · h-index 26

Impact in

Papers in

Jerrold H. May

68 papers receiving 2.2k citations

Peers

Jerrold H. May
Comparison fields: 5 of 145
  • Emergency Medical Services 1.0k
  • Emergency Medicine 308
  • Management Science and Operations Research 407
  • Management Information Systems 264
  • Marketing 224
Replace Thomas R. Rohleder with:
Thomas R. Rohleder Canada
Erwin W. Hans Netherlands
Sergei Savin United States
Nan Liu China
Paul Harper United Kingdom
Richard J. Boucherie Netherlands
Yuehwern Yih United States
Diwakar Gupta United States
Serhan Ziya United States
Sally Brailsford United Kingdom
Jerrold H. May relative to Thomas R. Rohleder Canada Thomas R. Rohleder's profile →
Citations per field
00.5×4.7×
Thomas R. Rohleder · 1×
Citations per year

Countries citing papers authored by Jerrold H. May

Since Specialization
Citations

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

Fields of papers citing papers by Jerrold H. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrold H. May. 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 Jerrold H. May. The network helps show where Jerrold H. May may publish in the future.

Co-authors

The 25 scholars most cited alongside Jerrold H. May, 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 Jerrold H. May Line = papers co-authored together Jerrold H. May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000203
2 2011184
3 1999178
4 2000172
5 1987141
6 1997118
7 2013110
8 200086
9 201780
10 200977
11 200460
12 200359
13 201659
14 200655
15 198754
16 199952
17 201549
18 201645
19 200442
20 201641

About Jerrold H. May

Jerrold H. May is a scholar working on Emergency Medical Services, Artificial Intelligence, Management Information Systems, Information Systems and Management Science and Operations Research, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (19 papers), Consumer Market Behavior and Pricing (9 papers), Healthcare Policy and Management (6 papers), AI-based Problem Solving and Planning (6 papers), Data Mining Algorithms and Applications (6 papers), Imbalanced Data Classification Techniques (5 papers), Business Process Modeling and Analysis (4 papers) and Supply Chain and Inventory Management (4 papers). The work is most often cited by research in Emergency Medical Services (1.0k citations), Emergency Medicine (308 citations), Management Science and Operations Research (407 citations), Management Information Systems (264 citations) and Marketing (224 citations). Jerrold H. May has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Luís G. Vargas, David P. Strum, William E. Spangler, Lior Turgeman, Allan R. Sampson, Youxu C. Tjader, Jennifer Shang, G. Bashein, Devanathan Sudharshan and Atish P. Sinha. Their work appears in journals such as European Journal of Operational Research, Anesthesiology, Expert Systems with Applications, Mathematical and Computer Modelling and Annals of 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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