Robin L. Dillon

52 papers receiving 944 citations

Peers

Robin L. Dillon
Comparison fields: 5 of 109
  • Statistics, Probability and Uncertainty 245
  • Radiological and Ultrasound Technology 138
  • General Decision Sciences 52
  • Management Science and Operations Research 155
  • Medical Laboratory Technology 13
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An Chen China
Giampiero E. G. Beroggi Netherlands
Shital Thekdi United States
Douglas W. Hubbard United States
Todd R. La Porte United States
Todd R. LaPorte United States
William D. Rowe United States
David Mendonça United States
Terrence Kelly United States
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Countries citing papers authored by Robin L. Dillon

Since Specialization
Citations

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

Fields of papers citing papers by Robin L. Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin L. Dillon. 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 Robin L. Dillon. The network helps show where Robin L. Dillon may publish in the future.

Co-authors

The 23 scholars most cited alongside Robin L. Dillon, 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 Robin L. Dillon Line = papers co-authored together Robin L. Dillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008159
2 2012117
3 2010107
4 200160
5 201457
6 200354
7 200951
8 200638
9 201536
10 201828
11 200226
12 201326
13 200123
14 200419
15 201419
16 200119
17 201517
18 200517
19 200515
20 200412

About Robin L. Dillon

Robin L. Dillon is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science, Management Science and Operations Research, Radiological and Ultrasound Technology and Safety, Risk, Reliability and Quality, having authored 54 papers that have together received 1000 indexed citations. Recurring topics across this work include Risk and Safety Analysis (22 papers), Occupational Health and Safety Research (12 papers), Technology Assessment and Management (11 papers), Risk Perception and Management (10 papers), Disaster Management and Resilience (9 papers), Systems Engineering Methodologies and Applications (8 papers), Infrastructure Resilience and Vulnerability Analysis (7 papers) and Complex Systems and Decision Making (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (245 citations), Radiological and Ultrasound Technology (138 citations), General Decision Sciences (52 citations), Management Science and Operations Research (155 citations) and Medical Laboratory Technology (13 citations). Robin L. Dillon has collaborated with scholars based in United States. Frequent co-authors include Catherine H. Tinsley, M. Elisabeth Paté‐Cornell, Matthew A. Cronin, Seth D. Guikema, Elisabeth Paté‐Cornell, William J. Burns, Peter Madsen, Richard S. John, Detlof von Winterfeldt and Edward W. Rogers. Their work appears in journals such as Risk Analysis, IEEE Transactions on Engineering Management, Management Science, Operations Research and Information Technology and Management.

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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