Irving Biederman

21.4k citations
182 papers · 14.9k indexed · 4 hit papers · h-index 49

Irving Biederman

176 papers receiving 13.8k citations

Hit Papers

Dynamic binding in a neural network for shape recognition.642198220261996201110002.0k3.0k

Peers

Irving Biederman
Comparison fields: 5 of 187
  • Cognitive Neuroscience 10.2k
  • Experimental and Cognitive Psychology 3.3k
  • Computer Vision and Pattern Recognition 4.5k
  • Developmental and Educational Psychology 1.8k
  • Social Psychology 2.0k
Replace Patrick Cavanagh with:
Patrick Cavanagh United States
Ken Nakayama United States
Johan Wagemans Belgium
Marlene Behrmann United States
David C. Burr Italy
Zenon W. Pylyshyn United States
Michael J. Tarr United States
Marvin M. Chun United States
Yuhong Jiang United States
Denis G. Pelli United States
Irving Biederman relative to Patrick Cavanagh United States Patrick Cavanagh's profile →
Citations per field
00.5×3.7×
Patrick Cavanagh · 1×
Citations per year

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

The 25 scholars most cited alongside Irving Biederman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irving Biederman Line = papers co-authored together Irving Biederman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20185
2 20141
3 20141
4 201415
5 201370
6 201230
7 201240
8 201126
9 201133
10 200957
11 200682
12 200668
13 20028
14 200140
15 1999137
16
The Use of Geons for Generic 3D Object Recognition.
19937
17 1993441
18 199133
19 199138
20
Higher-level vision
199036

About Irving Biederman

Irving Biederman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Developmental Biology and Geometry and Topology, having authored 182 papers that have together received 14.9k indexed citations. Recurring topics across this work include Face Recognition and Perception (80 papers), Visual perception and processing mechanisms (68 papers), Neural dynamics and brain function (23 papers), Visual Attention and Saliency Detection (21 papers), Neural and Behavioral Psychology Studies (14 papers), Image Retrieval and Classification Techniques (12 papers), Morphological variations and asymmetry (11 papers) and Aesthetic Perception and Analysis (8 papers). The work is most often cited by research in Cognitive Neuroscience (10.2k citations), Experimental and Cognitive Psychology (3.3k citations), Computer Vision and Pattern Recognition (4.5k citations), Developmental and Educational Psychology (1.8k citations) and Social Psychology (2.0k citations). Irving Biederman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Vision, Vision Research, Journal of Experimental Psychology Learning Memory and Cognition, Journal of Experimental Psychology Human Perception & Performance and Perception.

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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