Philip E. Tetlock

14.1k citations
128 papers · 6.9k indexed · 5 hit papers · h-index 39

Impact in

Papers in

Philip E. Tetlock

124 papers receiving 6.2k citations

Hit Papers

AI and the transformation of social science research 2023 · 133 citations
1331986202619992012200400600

Peers

Philip E. Tetlock
Comparison fields: 5 of 167
  • General Decision Sciences 881
  • Management Science and Operations Research 1.1k
  • Safety Research 568
  • Sociology and Political Science 2.7k
  • Social Psychology 1.2k
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Chip Heath United States
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Citations per field
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Citations per year

Countries citing papers authored by Philip E. Tetlock

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Tetlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip E. Tetlock. 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 Philip E. Tetlock. The network helps show where Philip E. Tetlock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2
A Better Crystal Ball: The Right Way to Think About the Future
20217
3 201919
4
Are markets more accurate than polls? The surprising informational value of “just askingâ€
20199
5 20198
6 201815
7 201716
8 201616
9 201648
10
Developing expert political judgment: The impact of training and practice on judgmental accuracy in geopolitical forecasting.
201623
11 201621
12 2015129
13
Political diversity will improve social psychological science
Hit paper breakdown →
2014296
14 2014186
15
The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions
201245
16 2010128
17 20081
18 20046
19 2002340
20 198963

About Philip E. Tetlock

Philip E. Tetlock is a scholar working on General Decision Sciences, Management Science and Operations Research, General Psychology, Safety Research and General Social Sciences, having authored 128 papers that have together received 6.9k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (36 papers), Decision-Making and Behavioral Economics (30 papers), Experimental Behavioral Economics Studies (11 papers), Sports Analytics and Performance (11 papers), Complex Systems and Time Series Analysis (11 papers), Psychology of Moral and Emotional Judgment (8 papers), Data Analysis with R (8 papers) and International Relations and Foreign Policy (5 papers). The work is most often cited by research in General Decision Sciences (881 citations), Management Science and Operations Research (1.1k citations), Safety Research (568 citations), Sociology and Political Science (2.7k citations) and Social Psychology (1.2k citations). Philip E. Tetlock has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jennifer S. Lerner, Barbara A. Mellers, Linda J. Skitka, Orie V. Kristel, Melanie C. Green, Paul M. Sniderman, Richard A. Brody, Lyle Ungar, Margaret Ormiston and Elaine M. Wong. Their work appears in journals such as Journal of Personality and Social Psychology, Judgment and Decision Making, International Journal of Forecasting, Perspectives on Psychological Science and Science.

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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