Jeffrey M. Valla

531 total citations
10 papers, 343 citations indexed

About

Jeffrey M. Valla is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Jeffrey M. Valla has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Clinical Psychology. Recurrent topics in Jeffrey M. Valla's work include Neuroscience and Music Perception (3 papers), Autism Spectrum Disorder Research (3 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Jeffrey M. Valla is often cited by papers focused on Neuroscience and Music Perception (3 papers), Autism Spectrum Disorder Research (3 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Jeffrey M. Valla collaborates with scholars based in United States, India and United Kingdom. Jeffrey M. Valla's co-authors include Stephen J. Ceci, Wendy M. Williams, Matthew K. Belmonte, Nandini Chatterjee Singh, Avantika Mathur, Barbara Ganzel, Keith J. Yoder, Vishal Midya, Andrew R. Barsky and Madhura Ingalhalikar and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Perspectives on Psychological Science.

In The Last Decade

Jeffrey M. Valla

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey M. Valla United States 10 134 106 73 69 68 10 343
Daniel Dukes Switzerland 11 183 1.4× 56 0.5× 10 0.1× 101 1.5× 47 0.7× 32 424
Harry Purser United Kingdom 12 127 0.9× 86 0.8× 21 0.3× 45 0.7× 27 0.4× 26 458
Sarah Greene United States 9 83 0.6× 174 1.6× 24 0.3× 66 1.0× 24 0.4× 15 496
Wang Ivy Wong Hong Kong 12 19 0.1× 70 0.7× 21 0.3× 89 1.3× 90 1.3× 26 391
Melissa K. Jungers United States 11 187 1.4× 95 0.9× 32 0.4× 54 0.8× 28 0.4× 23 357
Konstanze Albrecht Germany 8 98 0.7× 43 0.4× 47 0.6× 64 0.9× 5 0.1× 12 285
Bruno Façon France 15 133 1.0× 100 0.9× 22 0.3× 16 0.2× 48 0.7× 34 454
Ana Costa Portugal 9 30 0.2× 199 1.9× 22 0.3× 284 4.1× 168 2.5× 28 520
Chris Singleton United Kingdom 15 189 1.4× 58 0.5× 39 0.5× 43 0.6× 311 4.6× 31 846

Countries citing papers authored by Jeffrey M. Valla

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Valla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Valla. 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 Jeffrey M. Valla. The network helps show where Jeffrey M. Valla may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Valla

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

All Works

10 of 10 papers shown
1.
Midya, Vishal, et al.. (2019). Cultural differences in the use of acoustic cues for musical emotion experience. PLoS ONE. 14(9). e0222380–e0222380. 17 indexed citations
2.
Valla, Jeffrey M., et al.. (2019). Wired for musical rhythm? A diffusion MRI-based study of individual differences in music perception. Brain Structure and Function. 224(5). 1711–1722. 10 indexed citations
3.
Valla, Jeffrey M., et al.. (2017). Music and Emotion—A Case for North Indian Classical Music. Frontiers in Psychology. 8. 2115–2115. 26 indexed citations
4.
Valla, Jeffrey M. & Stephen J. Ceci. (2014). Breadth-Based Models of Women’s Underrepresentation in STEM Fields: An Integrative Commentary on Schmidt (2011) and Nye et al. (2012). Perspectives on Psychological Science. 9(2). 219–224. 38 indexed citations
5.
Valla, Jeffrey M., et al.. (2013). Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population. Frontiers in Psychology. 4. 286–286. 13 indexed citations
6.
7.
Valla, Jeffrey M. & Wendy M. Williams. (2012). INCREASING ACHIEVEMENT AND HIGHER-EDUCATION REPRESENTATION OF UNDER-REPRESENTED GROUPS IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS FIELDS: A REVIEW OF CURRENT K-12 INTERVENTION PROGRAMS. Journal of Women and Minorities in Science and Engineering. 18(1). 21–53. 75 indexed citations
8.
Valla, Jeffrey M. & Stephen J. Ceci. (2011). Can Sex Differences in Science Be Tied to the Long Reach of Prenatal Hormones? Brain Organization Theory, Digit Ratio (2D/4D), and Sex Differences in Preferences and Cognition. Perspectives on Psychological Science. 6(2). 134–146. 55 indexed citations
9.
Valla, Jeffrey M., Stephen J. Ceci, & Wendy M. Williams. (2011). The accuracy of inferences about criminality based on facial appearance.. 5(1). 66–91. 35 indexed citations
10.
Valla, Jeffrey M., et al.. (2010). More than maths and mindreading: Sex differences in empathizing/systemizing covariance. Autism Research. 3(4). 174–184. 53 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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