Thomas S. Wallsten

101 papers receiving 4.4k citations

Peers

Thomas S. Wallsten
Comparison fields: 5 of 155
  • General Decision Sciences 2.2k
  • Management Science and Operations Research 1.5k
  • Applied Psychology 410
  • Family Practice 168
  • Safety Research 355
Replace Ulrich Hoffrage with:
Ulrich Hoffrage Germany
J. Frank Yates United States
Lee Roy Beach United States
Kenneth R. Hammond United States
Hillel J. Einhorn United States
James Shanteau United States
Maya Bar‐Hillel Israel
Joshua Klayman United States
Barbara A. Mellers United States
Ola Svenson Sweden
Thomas S. Wallsten relative to Ulrich Hoffrage Germany Ulrich Hoffrage's profile →
Citations per field
00.5×1.7×
Ulrich Hoffrage · 1×
Citations per year

Countries citing papers authored by Thomas S. Wallsten

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Wallsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Wallsten. 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 Thomas S. Wallsten. The network helps show where Thomas S. Wallsten may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994434
2 1986318
3 1983234
4 1985224
5 1988190
6 2005179
7 1972169
8 1993166
9 1993150
10 1995147
11 1981140
12 1986139
13 1997120
14 1995119
15 2008117
16 2000100
17 198279
18 200074
19 199468
20 200366

About Thomas S. Wallsten

Thomas S. Wallsten is a scholar working on General Decision Sciences, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Statistics and Probability, having authored 104 papers that have together received 4.7k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (48 papers), Forecasting Techniques and Applications (35 papers), Bayesian Modeling and Causal Inference (19 papers), Multi-Criteria Decision Making (16 papers), Economic and Environmental Valuation (15 papers), Advanced Text Analysis Techniques (10 papers), Advanced Statistical Methods and Models (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in General Decision Sciences (2.2k citations), Management Science and Operations Research (1.5k citations), Applied Psychology (410 citations), Family Practice (168 citations) and Safety Research (355 citations). Thomas S. Wallsten has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include David V. Budescu, Ido Erev, Rami Zwick, Dan Ariely, Timothy J. Pleskac, Carl W. Lejuez, Amnon Rapoport, Barbara Forsyth, Claudia González‐Vallejo and James A. Cox. Their work appears in journals such as Journal of Behavioral Decision Making, Psychological Review, Journal of Experimental Psychology Learning Memory and Cognition, Organizational Behavior and Human Decision Processes and Psychonomic Bulletin & Review.

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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