John M. Dutton

19 papers receiving 1.2k citations

John M. Dutton's Hit Papers

Treating Progress Functions as a Managerial Opportunity 1984 · 542 citations
5420+14+28Years since publication100200300400500

Peers

John M. Dutton
Comparison fields: 5 of 116
  • Strategy and Management 490
  • Management Science and Operations Research 366
  • Organizational Behavior and Human Resource Management 232
  • Management Information Systems 204
  • Management of Technology and Innovation 129
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Countries citing papers authored by John M. Dutton

Since Specialization
Citations

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

Fields of papers citing papers by John M. Dutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside John M. Dutton, 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 M. Dutton Line = papers co-authored together John M. Dutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Treating Progress Functions as a Managerial Opportunity
Hit paper breakdown →
1984542
2 1969220
3 1984188
4 198496
5 196977
6 197373
7 196663
8 198254
9 197344
10 197121
11 197617
12
Managerial planning with linear programming: In process industry operations
197814
13 196413
14 196412
15 19619
16 19729
17 19698
18
Student Learning in a Restructured Environment.
19724
19 19821
20 19780

About John M. Dutton

John M. Dutton is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering, Sociology and Political Science, Management of Technology and Innovation and Strategy and Management, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (4 papers), Scheduling and Optimization Algorithms (3 papers), Conflict Management and Negotiation (2 papers), Innovation and Knowledge Management (2 papers), Organizational Management and Leadership (2 papers), Contemporary Sociological Theory and Practice (1 paper), Artificial Intelligence in Games (1 paper) and Qualitative Comparative Analysis Research (1 paper). The work is most often cited by research in Strategy and Management (490 citations), Management Science and Operations Research (366 citations), Organizational Behavior and Human Resource Management (232 citations), Management Information Systems (204 citations) and Management of Technology and Innovation (129 citations). John M. Dutton has collaborated with scholars based in United States, Guam and Russia. Frequent co-authors include Annie Thomas, Richard E. Walton, William H. Starbuck, John E. Butler, Thomas P. Cafferty, Ronald D. Brunner, Roger L. M. Dunbar, William R. Torbert, Donald H. Smith and J.S. Aronofsky. Their work appears in journals such as Administrative Science Quarterly, Academy of Management Review, International Journal of Production Research, Journal of Management Studies and Contemporary Sociology A Journal of Reviews.

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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