John R. Doyle

5.2k total citations · 1 hit paper
98 papers, 3.8k citations indexed

About

John R. Doyle is a scholar working on Economics and Econometrics, Management Science and Operations Research and Marketing. According to data from OpenAlex, John R. Doyle has authored 98 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Economics and Econometrics, 25 papers in Management Science and Operations Research and 14 papers in Marketing. Recurrent topics in John R. Doyle's work include Efficiency Analysis Using DEA (17 papers), Economic and Environmental Valuation (15 papers) and Decision-Making and Behavioral Economics (11 papers). John R. Doyle is often cited by papers focused on Efficiency Analysis Using DEA (17 papers), Economic and Environmental Valuation (15 papers) and Decision-Making and Behavioral Economics (11 papers). John R. Doyle collaborates with scholars based in United Kingdom, United States and Canada. John R. Doyle's co-authors include Rodney Green, Paul Bottomley, Rodney H. Green, Wade D. Cook, Catherine Huirong Chen, David O’Connor, Chris Leach, Colin Gallagher, Laurie McAulay and Moshe Kress and has published in prestigious journals such as Nature, PLoS ONE and Management Science.

In The Last Decade

John R. Doyle

90 papers receiving 3.6k citations

Hit Papers

Efficiency and Cross-efficiency in DEA: Derivations, Mean... 1994 2026 2004 2015 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. Doyle United Kingdom 27 1.9k 993 629 470 360 98 3.8k
John Kidd United Kingdom 19 1.1k 0.6× 539 0.5× 111 0.2× 292 0.6× 182 0.5× 64 3.4k
Paul Goodwin United Kingdom 39 2.7k 1.4× 789 0.8× 332 0.5× 111 0.2× 175 0.5× 134 5.1k
Jacob Marschak United States 17 1.1k 0.5× 1.6k 1.6× 552 0.9× 111 0.2× 90 0.3× 35 4.1k
Steven R. Lerman United States 21 361 0.2× 3.2k 3.2× 997 1.6× 176 0.4× 149 0.4× 51 6.7k
Theo Arentze Netherlands 48 284 0.1× 1.5k 1.5× 758 1.2× 338 0.7× 477 1.3× 371 8.7k
Konstantinos V. Katsikopoulos Germany 27 546 0.3× 530 0.5× 156 0.2× 73 0.2× 159 0.4× 89 2.4k
John Warfield United States 27 1.4k 0.7× 387 0.4× 249 0.4× 281 0.6× 190 0.5× 75 5.4k
Fran Ackermann United Kingdom 45 3.2k 1.7× 253 0.3× 186 0.3× 226 0.5× 562 1.6× 135 6.0k
Mark Uncles Australia 33 572 0.3× 2.6k 2.6× 3.4k 5.4× 148 0.3× 239 0.7× 96 8.5k
Kenneth R. MacCrimmon Canada 19 525 0.3× 434 0.4× 87 0.1× 76 0.2× 188 0.5× 24 2.3k

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-authorship network of co-authors of John R. Doyle

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

All Works

20 of 20 papers shown
1.
Doyle, John R., et al.. (2023). Galois groups and prime divisors in random quadratic sequences. Mathematical Proceedings of the Cambridge Philosophical Society. 176(1). 95–122.
2.
Doyle, John R., et al.. (2018). Reduction of dynatomic curves. Ergodic Theory and Dynamical Systems. 39(10). 2717–2768.
3.
Doyle, John R. & Joseph H. Silverman. (2018). A uniform field-of-definition/field-of-moduli bound for dynamical systems on PN. Journal of Number Theory. 195. 1–22.
4.
Doyle, John R. & Paul Bottomley. (2018). Relative age effect in elite soccer: More early-born players, but no better valued, and no paragon clubs or countries. PLoS ONE. 13(2). e0192209–e0192209. 37 indexed citations
5.
Doyle, John R., Paul Bottomley, & Robert J. Angell. (2017). Tails of the Travelling Gaussian model and the relative age effect: Tales of age discrimination and wasted talent. PLoS ONE. 12(4). e0176206–e0176206. 8 indexed citations
6.
Doyle, John R., et al.. (2015). Computing algebraic numbers of bounded height. Mathematics of Computation. 84(296). 2867–2891. 2 indexed citations
7.
Doyle, John R., et al.. (2014). Impact of Ethnicity on Donor Search Results for Children Requiring Stem Cell Transplantation. Journal of Pediatric Hematology/Oncology. 37(3). e154–e157. 2 indexed citations
8.
Doyle, John R.. (2013). Survey of time preference, delay discounting models. Judgment and Decision Making. 8(2). 116–135. 100 indexed citations
9.
Yan, Ji, Gordon R. Foxall, & John R. Doyle. (2012). Patterns of Reinforcement and the Essential Values of Brands: I. Incorporation of Utilitarian and Informational Reinforcement Into the Estimation of Demand. The Psychological Record. 62(3). 361–376. 9 indexed citations
10.
Doyle, John R., Catherine Huirong Chen, & Krishna Savani. (2011). New designs for research in delay discounting. Judgment and Decision Making. 6(8). 759–770. 6 indexed citations
11.
Gassas, Adam, Julian Raiman, Laura L. White, et al.. (2011). Long-term Adaptive Functioning Outcomes of Children With Inherited Metabolic and Genetic Diseases Treated With Hematopoietic Stem Cell Transplantation in a Single Large Pediatric Center. Journal of Pediatric Hematology/Oncology. 33(3). 216–220. 23 indexed citations
12.
Doyle, John R. & Paul Bottomley. (2009). The Massage in the Medium: Transfer of Connotative Meaning from Typeface to Names and Products. SSRN Electronic Journal. 1 indexed citations
13.
Lans, Ralf van der, Joseph A. Cote, Catherine Cole, et al.. (2008). Cross-National Logo Evaluation Analysis: An Individual Level Approach. Data Archiving and Networked Services (DANS). 86 indexed citations
14.
Parshuram, Chris, John R. Doyle, Wendy Lau, & Sam D. Shemie. (2002). Transfusion-associated graft versus host disease. Pediatric Critical Care Medicine. 3(1). 57–62. 22 indexed citations
15.
Bottomley, Paul & John R. Doyle. (2001). A comparison of three weight elicitation methods: good, better, and best. Omega. 29(6). 553–560. 128 indexed citations
16.
Bottomley, Paul, John R. Doyle, & Rodney H. Green. (2000). Testing the Reliability of Weight Elicitation Methods: Direct Rating versus Point Allocation. Journal of Marketing Research. 37(4). 508–513. 102 indexed citations
17.
Doyle, John R., et al.. (1997). Measurement error is that which we have not yet explained [Letter]. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
18.
Doyle, John R., et al.. (1995). Cross-Evaluation In Dea: Improving Discrimination Among Dmus.. INFOR Information Systems and Operational Research. 33(3). 205–222. 114 indexed citations
19.
Doyle, John R.. (1991). Satellite images: New information for planning. Long Range Planning. 24(4). 108–114. 2 indexed citations
20.
Doyle, John R.. (1990). Supervised learning in N-tuple neural networks. International Journal of Man-Machine Studies. 33(1). 21–40. 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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