Amitai Shenhav

10.2k total citations · 5 hit papers
68 papers, 5.5k citations indexed

About

Amitai Shenhav is a scholar working on Cognitive Neuroscience, General Decision Sciences and Applied Psychology. According to data from OpenAlex, Amitai Shenhav has authored 68 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 25 papers in General Decision Sciences and 15 papers in Applied Psychology. Recurrent topics in Amitai Shenhav's work include Neural and Behavioral Psychology Studies (41 papers), Decision-Making and Behavioral Economics (25 papers) and Behavioral Health and Interventions (15 papers). Amitai Shenhav is often cited by papers focused on Neural and Behavioral Psychology Studies (41 papers), Decision-Making and Behavioral Economics (25 papers) and Behavioral Health and Interventions (15 papers). Amitai Shenhav collaborates with scholars based in United States, Germany and United Kingdom. Amitai Shenhav's co-authors include Jonathan D. Cohen, Matthew Botvinick, Joshua D. Greene, Sebastian Musslick, Michael Inzlicht, Christopher Y. Olivola, David G. Rand, Falk Lieder, Thomas L. Griffiths and Wouter Kool and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Amitai Shenhav

64 papers receiving 5.4k citations

Hit Papers

The Expected Value of Control: An Integrative Theory of A... 2011 2026 2016 2021 2013 2017 2018 2016 2011 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amitai Shenhav United States 27 3.7k 1.2k 933 823 764 68 5.5k
Daria Knoch Switzerland 29 3.0k 0.8× 999 0.9× 870 0.9× 564 0.7× 536 0.7× 83 4.8k
Thomas Goschke Germany 40 3.4k 0.9× 2.1k 1.8× 946 1.0× 506 0.6× 902 1.2× 131 5.6k
Ifat Levy United States 27 4.1k 1.1× 1.1k 0.9× 676 0.7× 552 0.7× 282 0.4× 74 5.4k
Joseph W. Kable United States 36 5.3k 1.4× 2.1k 1.8× 1.2k 1.3× 1.7k 2.1× 1.1k 1.4× 105 7.9k
Rongjun Yu China 39 3.2k 0.9× 1.0k 0.9× 839 0.9× 353 0.4× 290 0.4× 171 5.0k
Wouter van den Bos Netherlands 36 1.7k 0.5× 918 0.8× 1.1k 1.2× 445 0.5× 450 0.6× 98 3.9k
Maarten A.S. Boksem Netherlands 30 2.5k 0.7× 1.6k 1.3× 1.5k 1.6× 253 0.3× 610 0.8× 62 5.3k
Xiaolin Zhou China 39 3.9k 1.0× 1.3k 1.1× 955 1.0× 421 0.5× 323 0.4× 231 5.2k
Joseph T. McGuire United States 14 2.4k 0.6× 755 0.7× 435 0.5× 729 0.9× 520 0.7× 29 3.3k
Gesine Dreisbach Germany 35 3.1k 0.8× 1.5k 1.3× 715 0.8× 620 0.8× 640 0.8× 101 3.9k

Countries citing papers authored by Amitai Shenhav

Since Specialization
Citations

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

Fields of papers citing papers by Amitai Shenhav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitai Shenhav

This figure shows the co-authorship network connecting the top 25 collaborators of Amitai Shenhav. A scholar is included among the top collaborators of Amitai Shenhav based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amitai Shenhav. Amitai Shenhav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wolff, Wanja, Israel Halperin, Darías Holgado, et al.. (2025). When effort fails: Instances and reasons for effort-performance decoupling.
3.
Frömer, Romy, et al.. (2024). Mutual inclusivity improves decision-making by smoothing out choice’s competitive edge. Nature Human Behaviour. 9(3). 521–533.
4.
Shenhav, Amitai. (2024). The affective gradient hypothesis: an affect-centered account of motivated behavior. Trends in Cognitive Sciences. 28(12). 1089–1104. 10 indexed citations
5.
Frömer, Romy, Matthew R. Nassar, Benedikt Ehinger, & Amitai Shenhav. (2024). Common neural choice signals can emerge artefactually amid multiple distinct value signals. Nature Human Behaviour. 8(11). 2194–2208. 7 indexed citations
6.
Ritz, Harrison & Amitai Shenhav. (2024). Orthogonal neural encoding of targets and distractors supports multivariate cognitive control. Nature Human Behaviour. 8(5). 945–961. 10 indexed citations
7.
Ritz, Harrison & Amitai Shenhav. (2023). Humans reconfigure target and distractor processing to address distinct task demands.. Psychological Review. 131(2). 349–372. 7 indexed citations
8.
Grahek, Ivan, et al.. (2022). Learning when effort matters: neural dynamics underlying updating and adaptation to changes in performance efficacy. Cerebral Cortex. 33(5). 2395–2411. 13 indexed citations
9.
Ritz, Harrison, et al.. (2020). An evidence accumulation model of motivational and developmental influences over sustained attention.. Cognitive Science. 1 indexed citations
10.
Ritz, Harrison & Amitai Shenhav. (2019). Parametric control of distractor-oriented attention.. Cognitive Science. 967–973. 3 indexed citations
11.
Wilson, Robert C., Amitai Shenhav, Mark A. Straccia, & Jonathan D. Cohen. (2019). The Eighty Five Percent Rule for optimal learning. Nature Communications. 10(1). 59 indexed citations
12.
Musslick, Sebastian, Jonathan D. Cohen, & Amitai Shenhav. (2019). Decomposing Individual Differences in Cognitive Control: A Model-Based Approach.. Cognitive Science. 2427–2433. 9 indexed citations
13.
Spitzer, Markus, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, & Jonathan D. Cohen. (2019). Asymmetric Switch Costs as a Function of Task Strength.. Cognitive Science. 1070–1076. 6 indexed citations
14.
Grahek, Ivan, Amitai Shenhav, Sebastian Musslick, Ruth M. Krebs, & Ernst H. W. Koster. (2019). Motivation and cognitive control in depression. Neuroscience & Biobehavioral Reviews. 102. 371–381. 196 indexed citations
15.
FeldmanHall, Oriel & Amitai Shenhav. (2019). Resolving uncertainty in a social world. Nature Human Behaviour. 3(5). 426–435. 145 indexed citations
16.
Ritz, Harrison, Matthew R. Nassar, Michael J. Frank, & Amitai Shenhav. (2018). A Control Theoretic Model of Adaptive Learning in Dynamic Environments. Journal of Cognitive Neuroscience. 30(10). 1405–1421. 15 indexed citations
17.
Shenhav, Amitai, Mark A. Straccia, Sebastian Musslick, Jonathan D. Cohen, & Matthew Botvinick. (2018). Dissociable neural mechanisms track evidence accumulation for selection of attention versus action. Nature Communications. 9(1). 2485–2485. 27 indexed citations
18.
Musslick, Sebastian, Seong J. Jang, Michael Shvartsman, Amitai Shenhav, & Jonathan D. Cohen. (2018). Constraints associated with cognitive control and the stability-flexibility dilemma.. Cognitive Science. 21 indexed citations
19.
Musslick, Sebastian, Jonathan D. Cohen, & Amitai Shenhav. (2018). Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls.. Cognitive Science. 7 indexed citations
20.
Silver, Michael A., Amitai Shenhav, & Mark D’Esposito. (2008). Cholinergic Enhancement Reduces Spatial Spread of Visual Responses in Human Early Visual Cortex. Neuron. 60(5). 904–914. 78 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026