Irving Biederman

21.4k total citations · 4 hit papers
182 papers, 14.9k citations indexed

About

Irving Biederman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Irving Biederman has authored 182 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cognitive Neuroscience, 45 papers in Computer Vision and Pattern Recognition and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Irving Biederman's work include Face Recognition and Perception (80 papers), Visual perception and processing mechanisms (68 papers) and Neural dynamics and brain function (23 papers). Irving Biederman is often cited by papers focused on Face Recognition and Perception (80 papers), Visual perception and processing mechanisms (68 papers) and Neural dynamics and brain function (23 papers). Irving Biederman collaborates with scholars based in United States, Belgium and United Kingdom. Irving Biederman's co-authors include Eric E. Cooper, Peter Gerhardstein, John E. Hummel, Jan C. Rabinowitz, Edward A. Vessel, Moshe Bar, Amos Spector, Richard A. Monty, Dennis F. Fisher and John W. Senders and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Irving Biederman

176 papers receiving 13.8k citations

Hit Papers

Recognition-by-components: A theory of human image unders... 1982 2026 1996 2011 1987 1982 1992 1982 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irving Biederman United States 49 10.2k 4.5k 3.3k 2.0k 1.8k 182 14.9k
Michael J. Tarr United States 51 9.1k 0.9× 3.1k 0.7× 3.2k 1.0× 1.3k 0.6× 1.3k 0.7× 140 11.6k
Jeremy M. Wolfe United States 71 16.5k 1.6× 5.6k 1.2× 4.2k 1.2× 3.0k 1.5× 951 0.5× 369 22.1k
Johan Wagemans Belgium 57 9.7k 0.9× 1.6k 0.4× 2.6k 0.8× 2.3k 1.1× 1.9k 1.1× 557 13.0k
George Sperling United States 48 10.5k 1.0× 2.0k 0.4× 2.8k 0.8× 1.4k 0.7× 796 0.4× 153 12.5k
John M. Henderson United States 64 10.5k 1.0× 5.8k 1.3× 2.7k 0.8× 1.2k 0.6× 1.9k 1.1× 264 15.1k
Anne Treisman United States 66 25.7k 2.5× 5.6k 1.2× 8.2k 2.4× 4.5k 2.2× 2.6k 1.5× 116 31.9k
Shimon Ullman Israel 45 7.4k 0.7× 8.0k 1.8× 1.2k 0.3× 788 0.4× 509 0.3× 144 14.7k
HH Bülthoff Germany 75 12.3k 1.2× 5.9k 1.3× 4.1k 1.2× 3.9k 1.9× 1.1k 0.6× 731 21.9k
Dana H. Ballard United States 43 7.2k 0.7× 9.1k 2.0× 1.3k 0.4× 1.3k 0.7× 847 0.5× 149 19.1k
Garry A. Gelade United Kingdom 17 6.3k 0.6× 2.4k 0.5× 2.0k 0.6× 1.4k 0.7× 534 0.3× 32 9.7k

Countries citing papers authored by Irving Biederman

Since Specialization
Citations

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

Fields of papers citing papers by Irving Biederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irving Biederman

This figure shows the co-authorship network connecting the top 25 collaborators of Irving Biederman. A scholar is included among the top collaborators of Irving Biederman 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 Irving Biederman. Irving Biederman 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.
Peissig, Jessie J., Michael E. Young, Edward A. Wasserman, & Irving Biederman. (2018). Pigeons spontaneously form three-dimensional shape categories. Behavioural Processes. 158. 70–76. 5 indexed citations
2.
Amir, Ofer, et al.. (2014). Greater Sensitivity to Nonaccidental than Metric Shape Properties in Preschool Children. Journal of Vision. 14(10). 1291–1291. 1 indexed citations
3.
Amir, Ofer & Irving Biederman. (2014). The Claim that Pre-School Children are Insensitive to Nonaccidental vs. Metric Shape Properties Challenged by Biologically-Based Shape Scaling. Journal of Vision. 14(10). 232–232. 1 indexed citations
4.
Amir, Ori, et al.. (2014). Greater sensitivity to nonaccidental than metric shape properties in preschool children. Vision Research. 97. 83–88. 15 indexed citations
5.
Amir, Ori, et al.. (2013). Ha Ha! Versus Aha! A Direct Comparison of Humor to Nonhumorous Insight for Determining the Neural Correlates of Mirth. Cerebral Cortex. 25(5). 1405–1413. 70 indexed citations
6.
Amir, Ori, Irving Biederman, & Kenneth J. Hayworth. (2012). Sensitivity to nonaccidental properties across various shape dimensions. Vision Research. 62. 35–43. 30 indexed citations
7.
Yue, Xiaomin, Irving Biederman, M. C. Mangini, Christoph von der Malsburg, & Ori Amir. (2012). Predicting the psychophysical similarity of faces and non-face complex shapes by image-based measures. Vision Research. 55. 41–46. 40 indexed citations
9.
Amir, Ori, Irving Biederman, & Kenneth J. Hayworth. (2011). The neural basis for shape preferences. Vision Research. 51(20). 2198–2206. 33 indexed citations
10.
Biederman, Irving, et al.. (2009). Adaptation to objects in the lateral occipital complex (LOC): Shape or semantics?. Vision Research. 49(18). 2297–2305. 57 indexed citations
11.
Russell, Richard, et al.. (2006). The utility of surface reflectance for the recognition of upright and inverted faces. Vision Research. 47(2). 157–165. 82 indexed citations
12.
Yue, Xiaomin, Bosco S. Tjan, & Irving Biederman. (2006). What makes faces special?. Vision Research. 46(22). 3802–3811. 68 indexed citations
13.
Boucart, Muriel, et al.. (2002). Effect of benzodiazepines on structural and conceptual/lexical priming. Psychopharmacology. 165(1). 43–50. 8 indexed citations
14.
Fiser, József & Irving Biederman. (2001). Invariance of long-term visual priming to scale, reflection, translation, and hemisphere. Vision Research. 41(2). 221–234. 40 indexed citations
15.
Biederman, Irving & Moshe Bar. (1999). One-shot viewpoint invariance in matching novel objects. Vision Research. 39(17). 2885–2899. 137 indexed citations
16.
Dickinson, Sven, et al.. (1993). The Use of Geons for Generic 3D Object Recognition.. International Joint Conference on Artificial Intelligence. 94(6). 1693–1702. 7 indexed citations
17.
Biederman, Irving & Peter Gerhardstein. (1993). Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance.. Journal of Experimental Psychology Human Perception & Performance. 19(6). 1162–1182. 441 indexed citations
18.
York, James L. & Irving Biederman. (1991). Hand Movement Speed and Accuracy in Detoxified Alcoholics. Alcoholism Clinical and Experimental Research. 15(6). 982–990. 33 indexed citations
19.
Biederman, Irving & Eric E. Cooper. (1991). Object recognition and laterality: Null effects. Neuropsychologia. 29(7). 685–694. 38 indexed citations
20.
Biederman, Irving. (1990). Higher-level vision. MIT Press eBooks. 41–72. 36 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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