Robin L. Dillon

1.6k total citations
54 papers, 985 citations indexed

About

Robin L. Dillon is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Robin L. Dillon has authored 54 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics, Probability and Uncertainty, 15 papers in Sociology and Political Science and 13 papers in Management Science and Operations Research. Recurrent topics in Robin L. Dillon's work include Risk and Safety Analysis (22 papers), Occupational Health and Safety Research (12 papers) and Technology Assessment and Management (11 papers). Robin L. Dillon is often cited by papers focused on Risk and Safety Analysis (22 papers), Occupational Health and Safety Research (12 papers) and Technology Assessment and Management (11 papers). Robin L. Dillon collaborates with scholars based in United States. Robin L. Dillon's 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, Edward W. Rogers and Detlof von Winterfeldt and has published in prestigious journals such as Management Science, Journal of Management and Operations Research.

In The Last Decade

Robin L. Dillon

52 papers receiving 929 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robin L. Dillon United States	18	319	247	154	141	126	54	985
John R. Harrald United States	16	395 1.2×	221 0.9×	146 0.9×	163 1.2×	111 0.9×	49	1.1k
An Chen China	16	185 0.6×	127 0.5×	100 0.6×	101 0.7×	55 0.4×	119	1.3k
David Mendonça United States	14	488 1.5×	102 0.4×	178 1.2×	68 0.5×	224 1.8×	55	1.1k
Henrik Hassel Sweden	11	185 0.6×	234 0.9×	77 0.5×	82 0.6×	453 3.6×	38	768
Paul R. Schulman United States	18	304 1.0×	226 0.9×	194 1.3×	374 2.7×	134 1.1×	36	1.2k
Shital Thekdi United States	16	118 0.4×	166 0.7×	65 0.4×	69 0.5×	193 1.5×	48	584
Giampiero E. G. Beroggi Netherlands	14	160 0.5×	100 0.4×	186 1.2×	73 0.5×	64 0.5×	49	674
Petter Grytten Almklov Norway	16	177 0.6×	180 0.7×	47 0.3×	217 1.5×	24 0.2×	41	673
Todd R. LaPorte United States	8	236 0.7×	187 0.8×	133 0.9×	258 1.8×	67 0.5×	14	808
Leire Labaka Spain	20	413 1.3×	125 0.5×	63 0.4×	67 0.5×	387 3.1×	49	1.0k

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-authorship network of co-authors of Robin L. Dillon

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

All Works

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20 of 20 papers shown

Madsen, Peter, et al.. (2024). Using near misses, artificial intelligence, and machine learning to predict maritime incidents: A U.S. Coast Guard case study. Risk Analysis. 45(4). 830–845. 3 indexed citations

Abbasi, Ahmed, Robin L. Dillon, Hengyi Rao, & Olivia R. Liu Sheng. (2024). Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers. Information Systems Research. 35(2). 460–468. 1 indexed citations

Madsen, Peter, et al.. (2024). The relationship between freight train length and the risk of derailment. Risk Analysis. 44(11). 2616–2628. 2 indexed citations

Dillon, Robin L., et al.. (2024). How AI Can Help Learn Lessons from Incident Reporting Systems. 2 indexed citations

Dillon, Robin L., et al.. (2020). NASA Risk Management Metrics — Evaluating the Effectiveness of the Risk Management Process. 1–8. 1 indexed citations

Dillon, Robin L., et al.. (2019). Valuing Rigor in the Risk Management Process. NASA STI Repository (National Aeronautics and Space Administration). 31. 1–13. 1 indexed citations

Dillon, Robin L., et al.. (2018). Agent‐Based Models as an Integrating Boundary Object for Interdisciplinary Research. Risk Analysis. 41(7). 1087–1092. 27 indexed citations

Dillon, Robin L., et al.. (2016). A different kind of organizational silence: When individuals fail to recognize a problem exists. 1–9. 2 indexed citations

Dillon, Robin L., Catherine H. Tinsley, Peter Madsen, & Edward W. Rogers. (2013). Organizational Correctives for Improving Recognition of Near-Miss Events. Journal of Management. 42(3). 671–697. 26 indexed citations

10.

Dillon, Robin L., et al.. (2013). Improving the recognition of near-miss events on NASA missions. 1–7. 2 indexed citations

11.

Dillon, Robin L., et al.. (2011). Differentiating Conflicts in Beliefs Versus Value Tradeoffs in the Domestic Intelligence Policy Debate. Risk Analysis. 32(4). 713–728. 4 indexed citations

12.

Dillon, Robin L., Catherine H. Tinsley, & Matthew A. Cronin. (2010). Why Near‐Miss Events Can Decrease an Individual's Protective Response to Hurricanes. Risk Analysis. 31(3). 440–449. 105 indexed citations

13.

Dillon, Robin L., et al.. (2009). Risk‐Based Decision Making for Terrorism Applications. Risk Analysis. 29(3). 321–335. 51 indexed citations

14.

Dillon, Robin L., Edward W. Rogers, & Catherine H. Tinsley. (2006). The Near-Miss Bias in Decision Making. 2004. 1–7.

15.

Dillon, Robin L., et al.. (2005). The Impact of Technology on Relationships within Organizations. Information Technology and Management. 6(2-3). 227–251. 15 indexed citations

16.

Dillon, Robin L. & Catherine H. Tinsley. (2005). Interpreting Near-Miss Events. Engineering Management Journal. 17(4). 25–29. 7 indexed citations

17.

Dillon, Robin L. & M. Elisabeth Paté‐Cornell. (2004). Including technical and security risks in the management of information systems: A programmatic risk management model. Systems Engineering. 8(1). 15–28. 12 indexed citations

18.

Paté‐Cornell, M. Elisabeth, Robin L. Dillon, & Seth D. Guikema. (2004). On the Limitations of Redundancies in the Improvement of System Reliability. Risk Analysis. 24(6). 1423–1436. 19 indexed citations

19.

Dillon, Robin L., M. Elisabeth Paté‐Cornell, & Seth D. Guikema. (2003). Programmatic Risk Analysis for Critical Engineering Systems Under Tight Resource Constraints. Operations Research. 51(3). 354–370. 54 indexed citations

20.

Paté‐Cornell, Elisabeth & Robin L. Dillon. (2002). Analytical tools for the management of faster-better-cheaper space missions. 5. 515–530. 3 indexed citations

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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