Benjamin Balas

4.2k total citations · 1 hit paper
102 papers, 2.8k citations indexed

About

Benjamin Balas is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Benjamin Balas has authored 102 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Cognitive Neuroscience, 51 papers in Computer Vision and Pattern Recognition and 36 papers in Experimental and Cognitive Psychology. Recurrent topics in Benjamin Balas's work include Face Recognition and Perception (65 papers), Visual perception and processing mechanisms (34 papers) and Evolutionary Psychology and Human Behavior (32 papers). Benjamin Balas is often cited by papers focused on Face Recognition and Perception (65 papers), Visual perception and processing mechanisms (34 papers) and Evolutionary Psychology and Human Behavior (32 papers). Benjamin Balas collaborates with scholars based in United States, France and Canada. Benjamin Balas's co-authors include Pawan Sinha, Charles A. Nelson, Ruth Rosenholtz, Yuri Ostrovsky, Richard Russell, Alissa Westerlund, Dana Kuefner, Vanessa Vogel‐Farley, Tracy Riggins and A. Raj and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Benjamin Balas

94 papers receiving 2.7k citations

Hit Papers

XML extraction Test-DEC09-2 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. XML extraction Test-DEC09-2
    2010 487 citations Benjamin Balas, Charles A. Nelson et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Balas United States 22 1.9k 983 728 355 161 102 2.8k
Richard Russell United States 25 1.5k 0.8× 813 0.8× 1.1k 1.6× 401 1.1× 146 0.9× 50 2.8k
Chang Hong Liu United Kingdom 24 1.3k 0.7× 613 0.6× 647 0.9× 324 0.9× 55 0.3× 94 1.9k
Harold Hill United Kingdom 21 1.3k 0.7× 704 0.7× 783 1.1× 316 0.9× 87 0.5× 53 1.8k
Guillaume A. Rousselet United Kingdom 37 3.8k 2.0× 748 0.8× 1.0k 1.4× 371 1.0× 135 0.8× 71 4.7k
Alan Johnston United Kingdom 32 3.2k 1.7× 917 0.9× 1.1k 1.5× 453 1.3× 73 0.5× 188 3.9k
Allison B. Sekuler Canada 42 4.5k 2.4× 962 1.0× 1.1k 1.5× 553 1.6× 65 0.4× 149 5.0k
Thomas Naselaris United States 23 3.4k 1.8× 552 0.6× 461 0.6× 352 1.0× 137 0.9× 43 4.1k
R.J. Watt United Kingdom 29 3.0k 1.6× 850 0.9× 553 0.8× 548 1.5× 77 0.5× 66 3.5k
Patrick Bennett Canada 40 4.0k 2.1× 770 0.8× 969 1.3× 465 1.3× 51 0.3× 167 4.7k
Gijsbert Bijlstra Netherlands 13 1.2k 0.6× 484 0.5× 958 1.3× 557 1.6× 54 0.3× 28 2.2k

Countries citing papers authored by Benjamin Balas

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Balas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Balas

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Balas. A scholar is included among the top collaborators of Benjamin Balas 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 Benjamin Balas. Benjamin Balas 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.
Balas, Benjamin & Michelle R. Greene. (2023). The role of texture summary statistics in material recognition from drawings and photographs. Journal of Vision. 23(14). 3–3. 1 indexed citations
2.
Balas, Benjamin, Adam Sandford, & Kay L. Ritchie. (2023). Not the norm: Face likeness is not the same as similarity to familiar face prototypes. i-Perception. 14(3). 1253952283–1253952283. 2 indexed citations
3.
Balas, Benjamin, et al.. (2021). Robot face memorability is affected by uncanny appearance. Computers in Human Behavior Reports. 4. 100153–100153. 2 indexed citations
4.
Bayet, Laurie, et al.. (2021). Sensitivity to face animacy and inversion in childhood: Evidence from EEG data. Neuropsychologia. 156. 107838–107838. 6 indexed citations
5.
Balas, Benjamin, et al.. (2021). Facial femininity and perceptions of eating disorders: A reverse-correlation study. PLoS ONE. 16(8). e0255766–e0255766. 6 indexed citations
6.
Balas, Benjamin, et al.. (2020). Children's use of local and global visual features for material perception. Journal of Vision. 20(2). 10–10. 10 indexed citations
7.
Balas, Benjamin, et al.. (2019). The Flashed Face Distortion Effect Does Not Depend on Face-Specific Mechanisms. Scientific Reports. 9(1). 1612–1612. 4 indexed citations
8.
Balas, Benjamin. (2016). Seeing number using texture: How summary statistics account for reductions in perceived numerosity in the visual periphery. Attention Perception & Psychophysics. 78(8). 2313–2319. 13 indexed citations
9.
Balas, Benjamin, et al.. (2015). Invariant texture perception is harder with synthetic textures: Implications for models of texture processing. Vision Research. 115(Pt B). 271–279. 9 indexed citations
10.
Balas, Benjamin, et al.. (2015). The Visual N1 Is Sensitive to Deviations from Natural Texture Appearance. PLoS ONE. 10(9). e0136471–e0136471. 11 indexed citations
11.
Balas, Benjamin, et al.. (2014). Early visual ERP components are sensitive to natural texture appearance. Journal of Vision. 14(10). 1431–1431. 1 indexed citations
12.
Koldewyn, Kami, et al.. (2013). Visual adaptation of the perception of “life”: Animacy is a basic perceptual dimension of faces. Psychonomic Bulletin & Review. 21(4). 969–975. 21 indexed citations
13.
Balas, Benjamin. (2013). Developing race categories in infancy via Bayesian face recognition. Visual Cognition. 21(9-10). 1138–1164. 9 indexed citations
14.
Balas, Benjamin, et al.. (2012). View-adaptation reveals coding of face pose along image, not object, axes. Vision Research. 67. 22–27. 3 indexed citations
15.
Balas, Benjamin, et al.. (2011). Shape, color and the other‐race effect in the infant brain. Developmental Science. 14(4). 892–900. 54 indexed citations
16.
Balas, Benjamin & Margaret C. Moulson. (2011). Developing a side bias for conspecific faces during childhood.. Developmental Psychology. 47(5). 1472–1478. 18 indexed citations
17.
Rosenholtz, Ruth, et al.. (2010). The Visual System as Statistician: Statistical Representation in Early Vision. Journal of Vision. 10(7). 23–23.
18.
Balas, Benjamin, Ruth Rosenholtz, & A. Raj. (2010). Beyond texture processing: further implications of statistical representations. Journal of Vision. 10(7). 28–28. 5 indexed citations
19.
Balas, Benjamin, et al.. (2005). The Effects of Scene Category and Content on Boundary Extension. eScholarship (California Digital Library). 27(27). 1 indexed citations
20.
Balas, Benjamin. (2005). Texture synthesis and perception: Using computational models to study texture representations in the human visual system. Vision Research. 46(3). 299–309. 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.

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