Robert E. Dorsey

23 papers receiving 1.1k citations

Peers

Robert E. Dorsey
Comparison fields: 5 of 131
  • Management Science and Operations Research 236
  • General Decision Sciences 30
  • Artificial Intelligence 467
  • Safety Research 85
  • Marketing 66
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Yunfeng Zhang China
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Mathias Kraus Germany
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Citations per year

Countries citing papers authored by Robert E. Dorsey

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Dorsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Dorsey. 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 Robert E. Dorsey. The network helps show where Robert E. Dorsey may publish in the future.

Co-authors

The 11 scholars most cited alongside Robert E. Dorsey, 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 Robert E. Dorsey Line = papers co-authored together Robert E. Dorsey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998180
2 1999173
3 1995162
4 1998108
5 200399
6 200076
7 199566
8 201065
9 199253
10 200345
11 200241
12 200235
13 199927
14 199413
15 20075
16 19984
17
Technical Evaluation of Sample-Processing, Collection, and Preservation Methods
20143
18 20003
19 19933
20
Neural networks in financial distress prediction: an application to the life insurance industry
19932

About Robert E. Dorsey

Robert E. Dorsey is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Safety Research and Molecular Biology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (3 papers), Experimental Behavioral Economics Studies (3 papers), Auction Theory and Applications (3 papers), Economic theories and models (3 papers), Industrial Vision Systems and Defect Detection (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Management Science and Operations Research (236 citations), General Decision Sciences (30 citations), Artificial Intelligence (467 citations), Safety Research (85 citations) and Marketing (66 citations). Robert E. Dorsey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Randall S. Sexton, John D. Johnson, Walter J. Mayer, Bahram Alidaee, Laura Razzolini, Robert Hammond, Kelly L. Jordan‐Sciutto, Cristian L. Achim, John Dobson and Eric Schaffer. Their work appears in journals such as Decision Support Systems, Computational Economics, European Journal of Operational Research, Journal of Business and Economic Statistics and Theory and Decision.

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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