Daniel Bennett

1.2k total citations
36 papers, 564 citations indexed

About

Daniel Bennett is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences. According to data from OpenAlex, Daniel Bennett has authored 36 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 10 papers in General Decision Sciences. Recurrent topics in Daniel Bennett's work include Neural and Behavioral Psychology Studies (15 papers), Decision-Making and Behavioral Economics (10 papers) and Neural dynamics and brain function (9 papers). Daniel Bennett is often cited by papers focused on Neural and Behavioral Psychology Studies (15 papers), Decision-Making and Behavioral Economics (10 papers) and Neural dynamics and brain function (9 papers). Daniel Bennett collaborates with scholars based in Australia, United States and Germany. Daniel Bennett's co-authors include Stefan Bode, Carsten Murawski, Yael Niv, Maja Brydevall, Steven M. Silverstein, Phillip M. Alday, Daniel Feuerriegel, Bernard Yan, Samuel Zorowitz and Angela Langdon and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Psychological Review.

In The Last Decade

Daniel Bennett

32 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Bennett Australia 13 294 175 72 67 45 36 564
Corey N. White United States 13 309 1.1× 113 0.6× 34 0.5× 54 0.8× 45 1.0× 23 518
Wouter Boekel Netherlands 12 764 2.6× 238 1.4× 71 1.0× 61 0.9× 31 0.7× 14 943
Christian A. Rodriguez United States 8 357 1.2× 158 0.9× 163 2.3× 62 0.9× 82 1.8× 10 647
Chris Gagne United States 9 322 1.1× 184 1.1× 57 0.8× 54 0.8× 53 1.2× 17 566
Patrick S. Cooper Australia 15 697 2.4× 142 0.8× 33 0.5× 50 0.7× 31 0.7× 28 864
Nitzan Shahar Israel 12 329 1.1× 197 1.1× 39 0.5× 30 0.4× 23 0.5× 27 451
Michael J. Frank United States 4 513 1.7× 184 1.1× 93 1.3× 88 1.3× 59 1.3× 5 761
Cody A. Mashburn United States 9 292 1.0× 244 1.4× 25 0.3× 59 0.9× 38 0.8× 14 461
Vasilisa Skvortsova United Kingdom 8 229 0.8× 118 0.7× 54 0.8× 54 0.8× 104 2.3× 9 474
Mathieu Servant France 15 568 1.9× 102 0.6× 95 1.3× 102 1.5× 62 1.4× 26 706

Countries citing papers authored by Daniel Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bennett

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bennett. A scholar is included among the top collaborators of Daniel Bennett 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 Daniel Bennett. Daniel Bennett 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
1.
Killgore, William D. S., et al.. (2025). The impact of sleep loss on decision making: Opening the cognitive black box. Sleep Medicine Reviews. 82. 102114–102114. 2 indexed citations
2.
Mahlberg, Justin, et al.. (2025). The REM effect: How sleep stages influence learning strategies in complex reward-based decision-making. Neurobiology of Learning and Memory. 220. 108072–108072. 1 indexed citations
3.
Radulescu, Angela, et al.. (2024). Emotional Overshadowing: Pleasant and Unpleasant Cues Overshadow Neutral Cues in Human Associative Learning. Affective Science. 5(3). 222–231.
4.
Anderson, Clare, et al.. (2024). Sleep restriction alters the integration of multiple information sources in probabilistic decision‐making. Journal of Sleep Research. 33(5). e14161–e14161. 3 indexed citations
5.
6.
Houghton, Michael J., Katherine Ganio, Christopher A. McDevitt, et al.. (2023). Maternal selenium dietary supplementation alters sociability and reinforcement learning deficits induced by in utero exposure to maternal immune activation in mice. Brain Behavior and Immunity. 116. 349–361. 7 indexed citations
7.
Zorowitz, Samuel, et al.. (2023). Inattentive responding can induce spurious associations between task behaviour and symptom measures. Nature Human Behaviour. 7(10). 1667–1681. 31 indexed citations
8.
Bennett, Daniel, et al.. (2023). Affect-congruent attention modulates generalized reward expectations. PLoS Computational Biology. 19(12). e1011707–e1011707. 4 indexed citations
9.
Bennett, Daniel, et al.. (2023). The effect of reward prediction errors on subjective affect depends on outcome valence and decision context.. Emotion. 24(3). 894–911. 1 indexed citations
10.
Niv, Yael, et al.. (2022). The effects of induced positive and negative affect on Pavlovian-instrumental interactions. Cognition & Emotion. 36(7). 1343–1360. 5 indexed citations
11.
Zorowitz, Samuel, et al.. (2021). A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale. The Lancet Psychiatry. 8(3). 180–181. 4 indexed citations
12.
Bennett, Daniel, Yael Niv, & Angela Langdon. (2021). Value-free reinforcement learning: policy optimization as a minimal model of operant behavior. Current Opinion in Behavioral Sciences. 41. 114–121. 25 indexed citations
13.
Bennett, Daniel, et al.. (2021). A model of mood as integrated advantage.. Psychological Review. 129(3). 513–541. 32 indexed citations
14.
Bennett, Daniel, et al.. (2019). Monetary feedback modulates performance and electrophysiological indices of belief updating in reward learning. Psychophysiology. 56(10). e13431–e13431. 6 indexed citations
15.
Brydevall, Maja, Daniel Bennett, Carsten Murawski, & Stefan Bode. (2018). The neural encoding of information prediction errors during non-instrumental information seeking. Scientific Reports. 8(1). 6134–6134. 60 indexed citations
16.
Bode, Stefan, Daniel Bennett, David K. Sewell, et al.. (2018). Dissociating neural variability related to stimulus quality and response times in perceptual decision-making. Neuropsychologia. 111. 190–200. 7 indexed citations
17.
Bode, Stefan, Daniel Feuerriegel, Daniel Bennett, & Phillip M. Alday. (2018). The Decision Decoding ToolBOX (DDTBOX) – A Multivariate Pattern Analysis Toolbox for Event-Related Potentials. Neuroinformatics. 17(1). 27–42. 44 indexed citations
18.
Bennett, Daniel, et al.. (2015). Selective impairment of global motion integration, but not global form detection, in schizophrenia and bipolar affective disorder. Schizophrenia Research Cognition. 3. 11–14. 8 indexed citations
19.
Bode, Stefan, Daniel Bennett, Jutta Stähl, & Carsten Murawski. (2014). Distributed Patterns of Event-Related Potentials Predict Subsequent Ratings of Abstract Stimulus Attributes. PLoS ONE. 9(10). e109070–e109070. 19 indexed citations
20.
Bennett, Daniel & Bernard Yan. (2013). Suboptimal response to clopidogrel: A genetic risk factor for recurrent ischaemic stroke. Journal of Clinical Neuroscience. 20(6). 767–770. 7 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.

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