John J. Rousseau

1.3k total citations
34 papers, 873 citations indexed

About

John J. Rousseau is a scholar working on Management Science and Operations Research, Economics and Econometrics and Control and Systems Engineering. According to data from OpenAlex, John J. Rousseau has authored 34 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 19 papers in Economics and Econometrics and 7 papers in Control and Systems Engineering. Recurrent topics in John J. Rousseau's work include Efficiency Analysis Using DEA (17 papers), Economic and Environmental Valuation (7 papers) and Optimization and Mathematical Programming (7 papers). John J. Rousseau is often cited by papers focused on Efficiency Analysis Using DEA (17 papers), Economic and Environmental Valuation (7 papers) and Optimization and Mathematical Programming (7 papers). John J. Rousseau collaborates with scholars based in United States, Israel and United Kingdom. John J. Rousseau's co-authors include John H. Semple, A. Charnes, Fred Phillips, Patrick L. Brockett, Boaz Golany, W. W. Cooper, Linda L. Golden, Richard C. Morey, Yuying Wang and Zhimin Huang and has published in prestigious journals such as Management Science, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

John J. Rousseau

33 papers receiving 786 citations

Peers

John J. Rousseau
William F. Bowlin United States
Sten Thore United States
Aziz Boussofiane United Kingdom
Dongming Sun United States
Larry N. Langemeier United States
Rodney H. Green United Kingdom
William F. Bowlin United States
John J. Rousseau
Citations per year, relative to John J. Rousseau John J. Rousseau (= 1×) peers William F. Bowlin

Countries citing papers authored by John J. Rousseau

Since Specialization
Citations

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

Fields of papers citing papers by John J. Rousseau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Rousseau

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Rousseau. A scholar is included among the top collaborators of John J. Rousseau 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 J. Rousseau. John J. Rousseau 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.
Bansal, Gaurav, et al.. (2022). Diverse perspectives on bias in AI. Journal of Information Technology Case and Application Research. 24(2). 135–143. 7 indexed citations
2.
Brockett, Patrick L., et al.. (2005). Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies. SSRN Electronic Journal. 9 indexed citations
3.
Brockett, Patrick L., et al.. (2005). Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies. Journal of Risk & Insurance. 72(3). 393–412. 74 indexed citations
4.
Brockett, Patrick L., Ray‐E Chang, John J. Rousseau, John H. Semple, & Charles C. Yang. (2004). A Comparison of HMO Efficiencies as a Function of Provider Autonomy. Journal of Risk & Insurance. 71(1). 1–19. 3 indexed citations
5.
Brockett, Patrick L., W. W. Cooper, Linda L. Golden, John J. Rousseau, & Yuying Wang. (2003). Evaluating solvency versus efficiency performance and different forms of organization and marketing in US property––liability insurance companies. European Journal of Operational Research. 154(2). 492–514. 61 indexed citations
6.
Brockett, Patrick L., W. W. Cooper, Linda L. Golden, John J. Rousseau, & Yuanqing Wang. (1998). DEA evaluations of the efficiency of organizational forms and distribution systems in the US property and liability insurance industry. International Journal of Systems Science. 29(11). 1235–1247. 33 indexed citations
7.
Rousseau, John J. & John H. Semple. (1997). Dominant Competitive Factors for evaluating program efficiency in grouped data. Annals of Operations Research. 73(0). 253–276. 4 indexed citations
8.
Charnes, A., John J. Rousseau, & John H. Semple. (1996). Sensitivity and stability of efficiency classifications in Data Envelopment Analysis. Journal of Productivity Analysis. 7(1). 5–18. 124 indexed citations
9.
Rousseau, John J. & John H. Semple. (1995). Radii of Classification Preservation in Data Envelopment Analysis: A Case Study of 'Program Follow-Through'. Journal of the Operational Research Society. 46(8). 943–943. 2 indexed citations
10.
Rousseau, John J. & John H. Semple. (1995). Two-Person Ratio Efficiency Games. Management Science. 41(3). 435–441. 44 indexed citations
11.
Rousseau, John J. & John H. Semple. (1995). Radii of Classification Preservation in Data Envelopment Analysis: a Case Study of ‘Program Follow-Through’. Journal of the Operational Research Society. 46(8). 943–957. 34 indexed citations
12.
Charnes, A., John J. Rousseau, & John H. Semple. (1993). An effective non-Archimedean anti-degeneracy/cycling linear programming method especially for data envelopment analysis and like models. Annals of Operations Research. 46-47(2). 271–278. 28 indexed citations
13.
Charnes, A., Zhimin Huang, John J. Rousseau, & Ronald D. Armstrong. (1993). Vector extremal systems in cross-constrained games of regulatory policy analysis and synthesis. Journal of Economic Behavior & Organization. 21(3). 333–347. 14 indexed citations
14.
Golany, Boaz, Fred Phillips, & John J. Rousseau. (1991). Few-wave vs. continuous consumer panels: Some issues of attrition, bias and variance. International Journal of Research in Marketing. 8(3). 273–280. 5 indexed citations
15.
Charnes, A., Zhimin Huang, John J. Rousseau, & Qiang Wei. (1990). Cone Extremal Solutions of Multi-Payoff Games with Cross-Constrained Strategy Sets. Optimization. 21(1). 51–69. 35 indexed citations
16.
Golany, Boaz, D. B. Learner, Fred Phillips, & John J. Rousseau. (1990). Managing service productivity: The data envelopment analysis perspective. Computers Environment and Urban Systems. 14(2). 89–102. 12 indexed citations
17.
Rousseau, John J., et al.. (1989). EOQ under Date-terms Supplier Credit. Journal of the Operational Research Society. 40(5). 451–460. 20 indexed citations
18.
Rousseau, John J., et al.. (1989). EOQ under Date-terms Supplier Credit. Journal of the Operational Research Society. 40(5). 451–460. 1 indexed citations
19.
Morey, Richard C., et al.. (1984). Sensitivity and stability analysis in dea. Annals of Operations Research. 2(1). 139–156. 153 indexed citations
20.
Charnes, A., John J. Rousseau, & L. Seiford. (1982). Mollifiers for games in normal form and the Harsanyi-Selten valuation function. International Journal of Game Theory. 11(3-4). 163–174. 2 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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