Tal Shavit

86 papers receiving 1.1k citations

Peers

Tal Shavit
Comparison fields: 5 of 90
  • General Decision Sciences 278
  • Applied Psychology 97
  • Safety Research 168
  • Management Information Systems 168
  • Marketing 168
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Jen Shang United States
Barbara Summers United Kingdom
Atul Mitra United States
Håkan J. Holm Sweden
Susanne Neckermann Switzerland
Rob Ranyard United Kingdom
Emily Haisley United States
Stephen Weinberg United States
Don A. Moore United States
Ferdinand M. Vieider Germany
Tal Shavit relative to Jen Shang United States Jen Shang's profile →
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Citations per year

Countries citing papers authored by Tal Shavit

Since Specialization
Citations

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

Fields of papers citing papers by Tal Shavit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007146
2 200769
3 201144
4 200137
5 201135
6 200835
7 201332
8 200931
9 201128
10 201027
11 201125
12 201125
13 201723
14 201621
15 200721
16 201020
17 201420
18 202119
19 201018
20 202016

About Tal Shavit

Tal Shavit is a scholar working on General Decision Sciences, Economics and Econometrics, Safety Research, Sociology and Political Science and Finance, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (40 papers), Experimental Behavioral Economics Studies (23 papers), Economic and Environmental Valuation (17 papers), Financial Markets and Investment Strategies (14 papers), Psychological Well-being and Life Satisfaction (10 papers), Housing Market and Economics (7 papers), Psychological and Temporal Perspectives Research (7 papers) and Auction Theory and Applications (7 papers). The work is most often cited by research in General Decision Sciences (278 citations), Applied Psychology (97 citations), Safety Research (168 citations), Management Information Systems (168 citations) and Marketing (168 citations). Tal Shavit has collaborated with scholars based in Israel, United States and Hong Kong. Frequent co-authors include Uri Ben‐Zion, Mosi Rosenboim, Eyal Lahav, Yuval Cohen, Shosh Shahrabani, Doron Sonsino, Miki Malul, Ernan Haruvy, Yaniv Shani and Alex Krumer. Their work appears in journals such as Journal of Happiness Studies, Economics Letters, Journal of Behavioral and Experimental Economics, Journal of Behavioral Finance and Judgment and Decision Making.

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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