Sashank Varma

3.6k total citations · 2 hit papers
54 papers, 2.2k citations indexed

About

Sashank Varma is a scholar working on Cognitive Neuroscience, Statistics and Probability and Education. According to data from OpenAlex, Sashank Varma has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 20 papers in Statistics and Probability and 18 papers in Education. Recurrent topics in Sashank Varma's work include Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (12 papers) and Neuroscience, Education and Cognitive Function (11 papers). Sashank Varma is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (12 papers) and Neuroscience, Education and Cognitive Function (11 papers). Sashank Varma collaborates with scholars based in United States, Mexico and Denmark. Sashank Varma's co-authors include Marcel Adam Just, Diana Laurillard, Brian Butterworth, Patricia A. Carpenter, Daniel L. Schwartz, Rajesh K. Kana, Timothy A. Keller, Vicente L. Malave, Sharlene D. Newman and Janet M. Dubinsky and has published in prestigious journals such as Science, PLoS ONE and Psychological Review.

In The Last Decade

Sashank Varma

49 papers receiving 2.0k citations

Hit Papers

Dyscalculia: From Brain to Education 2011 2026 2016 2021 2011 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sashank Varma United States 18 1.3k 709 645 532 255 54 2.2k
Maria Luisa Lorusso Italy 28 1.6k 1.2× 2.0k 2.8× 991 1.5× 369 0.7× 281 1.1× 81 2.9k
Xinlin Zhou China 26 803 0.6× 914 1.3× 1.7k 2.6× 1.1k 2.0× 289 1.1× 128 2.3k
Karin Kucian Switzerland 22 788 0.6× 1.3k 1.9× 1.6k 2.4× 939 1.8× 249 1.0× 59 2.2k
Kristen Pammer Australia 24 1.4k 1.1× 1.2k 1.7× 691 1.1× 214 0.4× 258 1.0× 64 2.2k
Patrizio Tressoldi Italy 24 749 0.6× 802 1.1× 489 0.8× 353 0.7× 214 0.8× 136 1.9k
Frank N. Dempster United States 17 1.4k 1.1× 1.1k 1.6× 275 0.4× 405 0.8× 798 3.1× 28 2.6k
Ulla Richardson Finland 28 1.6k 1.3× 2.6k 3.7× 845 1.3× 793 1.5× 334 1.3× 60 3.1k
E. Juliana Paré‐Blagoev United States 15 2.2k 1.7× 812 1.1× 155 0.2× 189 0.4× 405 1.6× 31 2.9k
Luisa Girelli Italy 25 936 0.7× 931 1.3× 1.5k 2.3× 695 1.3× 274 1.1× 82 2.1k
Christine Schiltz Luxembourg 28 2.2k 1.7× 600 0.8× 814 1.3× 509 1.0× 752 2.9× 107 3.0k

Countries citing papers authored by Sashank Varma

Since Specialization
Citations

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

Fields of papers citing papers by Sashank Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sashank Varma

This figure shows the co-authorship network connecting the top 25 collaborators of Sashank Varma. A scholar is included among the top collaborators of Sashank Varma 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 Sashank Varma. Sashank Varma 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.
Varma, Sashank, et al.. (2024). Recruitment of magnitude representations to understand graded words. Cognitive Psychology. 153. 101673–101673. 3 indexed citations
2.
Varma, Sashank, et al.. (2024). Development of Cognitive Intelligence in Pre-trained Language Models. 9632–9657. 1 indexed citations
3.
Varma, Sashank, et al.. (2024). Strategy variability in computational estimation and its association with mathematical achievement. Psychological Research. 88(8). 2303–2319.
4.
Shah, Raj C., et al.. (2023). Numeric Magnitude Comparison Effects in Large Language Models. 6147–6161. 3 indexed citations
5.
Varma, Sashank, et al.. (2023). Pre-training LLMs using human-like development data corpus. 311–317. 2 indexed citations
6.
Rosenberg‐Lee, Miriam, et al.. (2023). Competing numerical magnitude codes in decimal comparison: Whole number and rational number distance both impact performance. Cognition. 241. 105608–105608. 2 indexed citations
7.
Varma, Keisha, et al.. (2023). Executive function predictors of science achievement in middle-school students. Frontiers in Psychology. 14. 1197002–1197002.
8.
Park, Jimin, Keisha Varma, & Sashank Varma. (2023). The role of executive function abilities in interleaved vs. blocked learning of science concepts. Frontiers in Psychology. 14. 1199682–1199682.
9.
Schmied, Annie, Sashank Varma, & Janet M. Dubinsky. (2021). Acceptability of Neuroscientific Interventions in Education. Science and Engineering Ethics. 27(4). 52–52. 6 indexed citations
10.
Dubinsky, Janet M., et al.. (2018). Taking an educational psychology course improves neuroscience literacy but does not reduce belief in neuromyths. PLoS ONE. 13(2). e0192163–e0192163. 70 indexed citations
11.
Boekel, Martin Van, Keisha Varma, & Sashank Varma. (2016). A retrieval-based approach to eliminating hindsight bias. Memory. 25(3). 377–390. 2 indexed citations
12.
Varma, Sashank. (2014). The subjective meaning of cognitive architecture: a Marrian analysis. Frontiers in Psychology. 5. 440–440. 10 indexed citations
13.
Varma, Sashank, et al.. (2013). Understanding decimal proportions: Discrete representations, parallel access, and privileged processing of zero. Cognitive Psychology. 66(3). 283–301. 30 indexed citations
14.
Just, Marcel Adam, Timothy A. Keller, Vicente L. Malave, Rajesh K. Kana, & Sashank Varma. (2012). Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity. Neuroscience & Biobehavioral Reviews. 36(4). 1292–1313. 420 indexed citations breakdown →
15.
Varma, Sashank. (2011). The design and evaluation of cognitive architectures. Cognitive Science. 35. 132–1351. 2 indexed citations
16.
Varma, Sashank. (2011). Criteria for the Design and Evaluation of Cognitive Architectures. Cognitive Science. 35(7). 1329–1351. 8 indexed citations
17.
Varma, Sashank, et al.. (2007). Integer Comparison and the Inverse Symbolic Distance Effect. eScholarship (California Digital Library). 29(29). 2 indexed citations
18.
Just, Marcel Adam & Sashank Varma. (2007). The organization of thinking: What functional brain imaging reveals about the neuroarchitecture of complex cognition. Cognitive Affective & Behavioral Neuroscience. 7(3). 153–191. 127 indexed citations
19.
Varma, Sashank, Daniel L. Schwartz, & Bruce D. McCandliss. (2006). Is neuroscience a learning science. International Conference of Learning Sciences. 792–798. 2 indexed citations
20.
Varma, Sashank & Marcel Adam Just. (2006). 4CAPS: An adaptive architecture for human information processing. National Conference on Artificial Intelligence. 91–96. 5 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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