Ralph L. Keeney

159 papers receiving 10.8k citations

Hit Papers

Value-Focused Thinking: A Path to Creative Decisionmaking197720261993200919921977199919864008001.2k

Peers

Ralph L. Keeney
Comparison fields: 5 of 194
  • Management Science and Operations Research 3.9k
  • Economics and Econometrics 2.7k
  • Sociology and Political Science 1.9k
  • Artificial Intelligence 1.4k
  • General Decision Sciences 1.3k
Replace Howard Raiffa with:
Howard Raiffa United States
Sarah Lichtenstein United States
George Wright United Kingdom
Ward Edwards United States
Detlof von Winterfeldt United States
Robin M. Hogarth Spain
M. Granger Morgan United States
Richard Zeckhauser United States
David V. Budescu United States
John D. Sterman United States
Ralph L. Keeney relative to Howard Raiffa United States Howard Raiffa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ralph L. Keeney

Since Specialization
Citations

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

Fields of papers citing papers by Ralph L. Keeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph L. Keeney. 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 Ralph L. Keeney. The network helps show where Ralph L. Keeney may publish in the future.

Co-authorship network of co-authors of Ralph L. Keeney

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph L. Keeney. A scholar is included among the top collaborators of Ralph L. Keeney 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 Ralph L. Keeney. Ralph L. Keeney 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
#WorkIndexed citations
1 0
2 1
3 7
4 57
5 28
6 135
7 54
8 10
9 43
10 29
11 10
12 74
13 1
14
Operational procedures to evaluate decisions with multiple objectives: Final report
2
15 1
16 2
17
Examining energy/environment policy using decision analysis
12
18 1
19 67
20
A Rational Approach to Governmental Decision Concerning Air Pollution
1

About Ralph L. Keeney

Ralph L. Keeney is a scholar working on General Decision Sciences, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 164 papers that have together received 12.1k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (30 papers), Multi-Criteria Decision Making (27 papers) and Risk Perception and Management (25 papers). The work is most often cited by research in General Decision Sciences (1.3k citations), Management Science and Operations Research (3.9k citations) and Statistics, Probability and Uncertainty (861 citations). Ralph L. Keeney has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Howard Raiffa, Detlof von Winterfeldt, Alistair Smith, Robin Gregory, John S. Hammond, Timothy L. McDaniels, John Kidd, Peter C. Fishburn, Craig W. Kirkwood and Kurt A. Carlson. Their work appears in journals such as Science, New England Journal of Medicine and Journal of the American Statistical Association.

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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