John R. Doyle

95 papers receiving 3.9k citations

John R. Doyle's Hit Papers

Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses 1994 · 992 citations
9920+10+21Years since publication250500750

Peers

John R. Doyle
Comparison fields: 5 of 166
  • Management Science and Operations Research 2.1k
  • General Decision Sciences 242
  • Marketing 684
  • Economics and Econometrics 1.0k
  • Tourism, Leisure and Hospitality Management 47
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Countries citing papers authored by John R. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by John R. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Doyle. 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 John R. Doyle. The network helps show where John R. Doyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses
Hit paper breakdown →
1994992
2 1996257
3 2006231
4 1999164
5 1993152
6 2001138
7 1996138
8
Model Based Testing
1997128
9 1995117
10 2013114
11 2000112
12 1997111
13 2002107
14 200895
15 200693
16 199889
17 199185
18 200978
19 199553
20 199552

About John R. Doyle

John R. Doyle is a scholar working on Economics and Econometrics, Management Science and Operations Research, Marketing, General Decision Sciences and Artificial Intelligence, having authored 102 papers that have together received 4.2k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (18 papers), Economic and Environmental Valuation (16 papers), Decision-Making and Behavioral Economics (12 papers), Consumer Market Behavior and Pricing (10 papers), Multi-Criteria Decision Making (9 papers), Color perception and design (8 papers), Multisensory perception and integration (8 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). The work is most often cited by research in Management Science and Operations Research (2.1k citations), General Decision Sciences (242 citations), Marketing (684 citations), Economics and Econometrics (1.0k citations) and Tourism, Leisure and Hospitality Management (47 citations). John R. Doyle has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul Bottomley, Rodney Green, Rodney H. Green, Wade D. Cook, Catherine Huirong Chen, David O’Connor, David Sims, Chris Leach, Moshe Kress and Gordon R. Foxall. Their work appears in journals such as Omega, Journal of the Operational Research Society, European Journal of Operational Research, Psychology and Marketing and Organizational Behavior and Human Decision Processes.

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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