Yaakov Kareev

2.2k citations
57 papers · 1.3k indexed · h-index 17

Impact in

Papers in

Yaakov Kareev

55 papers receiving 1.2k citations

Peers

Yaakov Kareev
Comparison fields: 5 of 101
  • General Decision Sciences 520
  • Safety Research 272
  • Applied Psychology 110
  • Management Science and Operations Research 224
  • Cognitive Neuroscience 315
Replace Paolo Legrenzi with:
Paolo Legrenzi Italy
Anders Winman Sweden
Paul Pollard United Kingdom
Richard A. Griggs United States
Vittorio Girotto Italy
Clifford R. Mynatt United States
Björn Meder Germany
Ruma Falk Israel
Gregg C. Oden United States
Michael H. Birnbaum United States
Yaakov Kareev relative to Paolo Legrenzi Italy Paolo Legrenzi's profile →
Citations per field
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Paolo Legrenzi · 1×
Citations per year

Countries citing papers authored by Yaakov Kareev

Since Specialization
Citations

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

Fields of papers citing papers by Yaakov Kareev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20193
2 20160
3 20162
4 20169
5 20158
6 20141
7 201424
8 201216
9 20107
10 201010
11 200935
12 20095
13
Choosing Between Adaptive Agents: Some Unexpected Implications of Level of Scrutiny
20061
14 200629
15
Predating predators: An experimental study
20011
16 2000127
17 199581
18 199449
19 19827
20
Toward a model op human game playing
19733

About Yaakov Kareev

Yaakov Kareev is a scholar working on General Decision Sciences, Safety Research, Management Science and Operations Research, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (25 papers), Experimental Behavioral Economics Studies (21 papers), Advanced Text Analysis Techniques (11 papers), Game Theory and Applications (6 papers), Child and Animal Learning Development (5 papers), Data Visualization and Analytics (5 papers), Sports Analytics and Performance (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in General Decision Sciences (520 citations), Safety Research (272 citations), Applied Psychology (110 citations), Management Science and Operations Research (224 citations) and Cognitive Neuroscience (315 citations). Yaakov Kareev has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Judith Avrahami, Klaus Fiedler, Ralph Hertwig, Gerd Gigerenzer, Robin M. Hogarth, Peter Freytag, Robyn M. Dawes, Nick Chater, Joachim I. Krueger and Joshua Klayman. Their work appears in journals such as The Quarterly Journal of Experimental Psychology Section A, Psychological Review, Journal of Experimental Psychology General, Psychological Science and Journal of Behavioral 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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