Atesh Koul

989 total citations
24 papers, 681 citations indexed

About

Atesh Koul is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Atesh Koul has authored 24 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 17 papers in Social Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Atesh Koul's work include Action Observation and Synchronization (17 papers), Neural and Behavioral Psychology Studies (7 papers) and Motor Control and Adaptation (5 papers). Atesh Koul is often cited by papers focused on Action Observation and Synchronization (17 papers), Neural and Behavioral Psychology Studies (7 papers) and Motor Control and Adaptation (5 papers). Atesh Koul collaborates with scholars based in Italy, United Kingdom and Canada. Atesh Koul's co-authors include Cristina Becchio, Andrea Cavallo, Caterina Ansuini, Francesca Capozzi, Giacomo Novembre, Cesare Bertone, Gian Domenico Iannetti, Marco Jacono, Yuan Yang and Barbara Tversky and has published in prestigious journals such as PLoS ONE, NeuroImage and Current Biology.

In The Last Decade

Atesh Koul

23 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atesh Koul Italy	14	408	390	160	115	47	24	681
Verónica C. Ramenzoni United States	14	470 1.2×	479 1.2×	219 1.4×	105 0.9×	57 1.2×	29	789
Oliver Herbort Germany	16	562 1.4×	368 0.9×	164 1.0×	70 0.6×	66 1.4×	57	710
Andrea Christensen Germany	13	290 0.7×	314 0.8×	123 0.8×	163 1.4×	39 0.8×	23	747
Bettina Bläsing Germany	17	440 1.1×	388 1.0×	235 1.5×	250 2.2×	38 0.8×	34	819
Francesca Capozzi Canada	16	465 1.1×	356 0.9×	126 0.8×	225 2.0×	76 1.6×	39	783
Lior Noy Israel	13	460 1.1×	476 1.2×	118 0.7×	184 1.6×	30 0.6×	24	703
Peter de Lissa Australia	13	604 1.5×	145 0.4×	85 0.5×	167 1.5×	52 1.1×	24	768
Lucia Maria Sacheli Italy	18	653 1.6×	668 1.7×	233 1.5×	112 1.0×	30 0.6×	42	884
Arnaud Badets France	14	504 1.2×	464 1.2×	322 2.0×	148 1.3×	27 0.6×	33	750
Dobromir Dotov Canada	17	509 1.2×	211 0.5×	76 0.5×	86 0.7×	21 0.4×	42	751

Countries citing papers authored by Atesh Koul

Since Specialization

Citations

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

Fields of papers citing papers by Atesh Koul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atesh Koul

This figure shows the co-authorship network connecting the top 25 collaborators of Atesh Koul. A scholar is included among the top collaborators of Atesh Koul 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 Atesh Koul. Atesh Koul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Koul, Atesh & Giacomo Novembre. (2025). How accurately can we estimate spontaneous body kinematics from video recordings? Effect of movement amplitude on OpenPose accuracy. Behavior Research Methods. 57(1). 38–38. 2 indexed citations

Bernardi, Fabrizio, et al.. (2024). Emotions in multi-brain dynamics: A promising research frontier. Neuroscience & Biobehavioral Reviews. 168. 105965–105965.

Novembre, Giacomo, Trinh Nguyen, Valter Tucci, et al.. (2023). Sociality and Timing: Correlation or Causation? Comment on ‘The evolution of social timing’ by Verga L., Kotz S. & Ravignani A.. Physics of Life Reviews. 47. 179–181. 2 indexed citations

Koul, Atesh, et al.. (2023). Spontaneous dyadic behavior predicts the emergence of interpersonal neural synchrony. NeuroImage. 277. 120233–120233. 35 indexed citations

Koul, Atesh, et al.. (2023). Interpersonal synchronization of spontaneously generated body movements. iScience. 26(3). 106104–106104. 16 indexed citations

Cavallo, Andrea, et al.. (2020). Transient Disruption of the Inferior Parietal Lobule Impairs the Ability to Attribute Intention to Action. Current Biology. 30(23). 4594–4605.e7. 35 indexed citations

Koul, Atesh, et al.. (2020). A kind of magic: Enhanced detection of pantomimed grasps in professional magicians. Quarterly Journal of Experimental Psychology. 73(7). 1092–1100. 7 indexed citations

Koul, Atesh, et al.. (2019). Modulation of corticospinal output during goal-directed actions: Evidence for a contingent coding hypothesis. Neuropsychologia. 134. 107205–107205. 5 indexed citations

Capozzi, Francesca, Cigdem Beyan, Antonio Pierro, et al.. (2019). Tracking the Leader: Gaze Behavior in Group Interactions. iScience. 16. 242–249. 38 indexed citations

10.

Koul, Atesh, Cristina Becchio, & Andrea Cavallo. (2018). Cross-Validation Approaches for Replicability in Psychology. Frontiers in Psychology. 9. 1117–1117. 108 indexed citations

11.

Koul, Atesh, et al.. (2018). The kinematics that you do not expect: Integrating prior information and kinematics to understand intentions. Cognition. 182. 213–219. 36 indexed citations

12.

Becchio, Cristina, Atesh Koul, Caterina Ansuini, Cesare Bertone, & Andrea Cavallo. (2018). The observability principle and beyond. Physics of Life Reviews. 24. 114–117. 1 indexed citations

13.

Becchio, Cristina, Atesh Koul, Caterina Ansuini, Cesare Bertone, & Andrea Cavallo. (2017). Seeing mental states: An experimental strategy for measuring the observability of other minds. Physics of Life Reviews. 24. 67–80. 70 indexed citations

14.

Koul, Atesh, Cristina Becchio, & Andrea Cavallo. (2017). PredPsych: A toolbox for predictive machine learning-based approach in experimental psychology research. Behavior Research Methods. 50(4). 1657–1672. 25 indexed citations

15.

Ansuini, Caterina, et al.. (2016). Grasping others’ movements: Rapid discrimination of object size from observed hand movements.. Journal of Experimental Psychology Human Perception & Performance. 42(7). 918–929. 27 indexed citations

16.

Cavallo, Andrea, Atesh Koul, Caterina Ansuini, Francesca Capozzi, & Cristina Becchio. (2016). Decoding intentions from movement kinematics. Scientific Reports. 6(1). 37036–37036. 128 indexed citations

17.

Koul, Atesh, Andrea Cavallo, Caterina Ansuini, & Cristina Becchio. (2016). Doing It Your Way: How Individual Movement Styles Affect Action Prediction. PLoS ONE. 11(10). e0165297–e0165297. 23 indexed citations

18.

Ansuini, Caterina, et al.. (2016). Are We Real When We Fake? Attunement to Object Weight in Natural and Pantomimed Grasping Movements. Frontiers in Human Neuroscience. 10. 471–471. 13 indexed citations

19.

Ansuini, Caterina, Andrea Cavallo, Atesh Koul, et al.. (2015). Predicting Object Size from Hand Kinematics: A Temporal Perspective. PLoS ONE. 10(3). e0120432–e0120432. 55 indexed citations

20.

Koul, Atesh, et al.. (2014). Notational usage modulates attention networks in binumerates. Frontiers in Human Neuroscience. 8. 326–326. 1 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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