Glenn Shafer

39.3k citations
104 papers · 15.9k indexed · 6 hit papers · h-index 38

Impact in

Papers in

Glenn Shafer

95 papers receiving 14.4k citations

Hit Papers

A Mathematical Theory of Evidence 2020 · 558 citations
558197620261992200910002.0k3.0k4.0k5.0k

Peers

Glenn Shafer
Comparison fields: 5 of 221
  • General Decision Sciences 1.7k
  • Management Science and Operations Research 3.8k
  • Artificial Intelligence 6.4k
  • Statistics and Probability 1.5k
  • Statistics, Probability and Uncertainty 1.2k
Replace R. Duncan Luce with:
R. Duncan Luce United States
I. J. Good United States
Judea Pearl United States
Howard Raiffa United States
D. V. Lindley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Glenn Shafer

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Shafer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn Shafer. 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 Glenn Shafer. The network helps show where Glenn Shafer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202333
2
A Mathematical Theory of Evidence
Hit paper breakdown →
2020558
3 201561
4 201511
5
How to base probability theory on perfect-information games
20100
6
Scientific Reasoning: The Bayesian Approach (3rd ed.), Colin Howson and Peter Urbach
20072
7 20076
8 20064
9 20051
10
Subjective Probability and Lower and Upper Prevision: A New Understanding.
20031
11
Self-calibrating Probability Forecasting
200317
12 20037
13 20025
14 20027
15 2001105
16 199240
17 1990258
18 1987114
19 1985145
20 19836

About Glenn Shafer

Glenn Shafer is a scholar working on General Decision Sciences, Statistics and Probability, History and Philosophy of Science, Artificial Intelligence and Management Science and Operations Research, having authored 104 papers that have together received 15.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (41 papers), Logic, Reasoning, and Knowledge (15 papers), AI-based Problem Solving and Planning (11 papers), Multi-Criteria Decision Making (10 papers), Probability and Statistical Research (8 papers), Statistics Education and Methodologies (8 papers), Philosophy and History of Science (8 papers) and Decision-Making and Behavioral Economics (7 papers). The work is most often cited by research in General Decision Sciences (1.7k citations), Management Science and Operations Research (3.8k citations), Artificial Intelligence (6.4k citations), Statistics and Probability (1.5k citations) and Statistics, Probability and Uncertainty (1.2k citations). Glenn Shafer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Amos Tversky, Paul Slovic, Alistair Smith, Vladimir Vovk, Ian Hacking, Prakash P. Shenoy, Judea Pearl, Roger Logan, Isaac Levi and Khaled Mellouli. Their work appears in journals such as International Journal of Approximate Reasoning, Journal of the American Statistical Association, Statistical Science, International Journal of Intelligent Systems and Technometrics.

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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