David Marr

29.1k total citations · 8 hit papers
31 papers, 19.3k citations indexed

About

David Marr is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David Marr has authored 31 papers receiving a total of 19.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David Marr's work include Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (11 papers) and Advanced Vision and Imaging (6 papers). David Marr is often cited by papers focused on Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (11 papers) and Advanced Vision and Imaging (6 papers). David Marr collaborates with scholars based in United States, Germany and Canada. David Marr's co-authors include Ellen C. Hildreth, Tomaso Poggio, H. K. Nishihara, Shimon Ullman, Lucia M. Vaina, G. Palm, Patrick Henry Winston, John M. Hollerbach, Randall Davis and Gerald Jay Sussman and has published in prestigious journals such as Nature, Science and The Journal of Physiology.

In The Last Decade

David Marr

31 papers receiving 17.7k citations

Hit Papers

Theory of edge detection 1969 2026 1988 2007 1980 1982 1969 1971 1978 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Marr United States 23 9.1k 6.6k 2.8k 1.9k 1.8k 31 19.3k
Michael Brady United Kingdom 41 7.1k 0.8× 5.1k 0.8× 838 0.3× 1.6k 0.8× 1.1k 0.6× 196 20.3k
T. N. Wiesel United States 27 17.9k 2.0× 2.7k 0.4× 8.0k 2.8× 1.8k 0.9× 555 0.3× 29 24.7k
David J. Heeger United States 84 22.2k 2.4× 6.1k 0.9× 3.4k 1.2× 837 0.4× 521 0.3× 218 28.9k
Stephen Grossberg United States 89 19.6k 2.1× 4.9k 0.7× 3.1k 1.1× 12.6k 6.5× 657 0.4× 425 35.7k
James C. Gee United States 64 9.3k 1.0× 5.3k 0.8× 2.1k 0.7× 1.8k 0.9× 2.5k 1.4× 370 33.1k
David H. Hubel United States 66 35.8k 3.9× 4.2k 0.6× 16.9k 6.0× 2.6k 1.3× 1.6k 0.9× 93 49.2k
François Chollet France 41 4.6k 0.5× 6.1k 0.9× 854 0.3× 3.8k 2.0× 2.9k 1.6× 128 22.0k
Robert C. Bolles United States 50 4.7k 0.5× 14.4k 2.2× 3.4k 1.2× 1.4k 0.7× 197 0.1× 204 29.8k
H. B. Barlow United Kingdom 49 10.3k 1.1× 1.8k 0.3× 3.8k 1.3× 1.3k 0.7× 175 0.1× 81 15.2k
HH Bülthoff Germany 75 12.3k 1.3× 5.9k 0.9× 544 0.2× 689 0.4× 721 0.4× 731 21.9k

Countries citing papers authored by David Marr

Since Specialization
Citations

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

Fields of papers citing papers by David Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Marr

This figure shows the co-authorship network connecting the top 25 collaborators of David Marr. A scholar is included among the top collaborators of David Marr 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 David Marr. David Marr 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.
Marr, David & Lucia M. Vaina. (1982). Representation and recognition of the movements of shapes. Proceedings of the Royal Society of London. Series B, Biological sciences. 214(1197). 501–524. 127 indexed citations
2.
Marr, David. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. Medical Entomology and Zoology. 3746 indexed citations breakdown →
3.
Marr, David & Shimon Ullman. (1981). Directional selectivity and its use in early visual processing. Proceedings of the Royal Society of London. Series B, Biological sciences. 211(1183). 151–180. 470 indexed citations
4.
Marr, David, Tomaso Poggio, & Ellen C. Hildreth. (1980). Smallest channel in early human vision. Journal of the Optical Society of America. 70(7). 868–868. 56 indexed citations
5.
Marr, David. (1980). Visual information processing: the structure and creation of visual representations. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 290(1038). 199–218. 114 indexed citations
6.
Horn, Berthold K. P., David Marr, John M. Hollerbach, et al.. (1980). MIT Artificial Intelligence Laboratory. AI Magazine. 1(1). 21–22. 56 indexed citations
7.
Marr, David & Ellen C. Hildreth. (1980). Theory of edge detection. Proceedings of the Royal Society of London. Series B, Biological sciences. 207(1167). 187–217. 4343 indexed citations breakdown →
8.
Marr, David & Tomaso Poggio. (1979). A computational theory of human stereo vision. Proceedings of the Royal Society of London. Series B, Biological sciences. 204(1156). 301–328. 1267 indexed citations breakdown →
9.
Marr, David & Ellen C. Hildreth. (1979). Theory of edge detection. DSpace@MIT (Massachusetts Institute of Technology). 16 indexed citations
10.
Marr, David & H. K. Nishihara. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society of London. Series B, Biological sciences. 200(1140). 269–294. 1535 indexed citations breakdown →
11.
Marr, David. (1977). Representing Visual Information. Journal of the Optical Society of America A. 67. 1400. 93 indexed citations
12.
Marr, David & Tomaso Poggio. (1977). Theory of human stereopsis (A). Journal of the Optical Society of America A. 67. 1400. 12 indexed citations
13.
Marr, David & Tomaso Poggio. (1977). A Theory of Human Stereo Vision. DSpace@MIT (Massachusetts Institute of Technology). 214 indexed citations
14.
Marr, David. (1976). Early processing of visual information. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 275(942). 483–519. 650 indexed citations breakdown →
15.
Marr, David & Tomaso Poggio. (1976). From Understanding Computation to Understanding Neural Circuitry. DSpace@MIT (Massachusetts Institute of Technology). 15(3). 470–488. 397 indexed citations
16.
Marr, David. (1974). The Recognition of Sharp, Closely Spaced Edges. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
17.
Marr, David. (1974). The computation of lightness by the primate retina. Vision Research. 14(12). 1377–1388. 49 indexed citations
18.
Marr, David. (1971). Simple memory: a theory for archicortex. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 262(841). 23–81. 1999 indexed citations breakdown →
19.
Marr, David, et al.. (1970). How the Cerebellum may be Used. Nature. 227(5264). 1224–1228. 134 indexed citations
20.
Marr, David. (1970). A theory for cerebral neocortex. Proceedings of the Royal Society of London. Series B, Biological sciences. 176(1043). 161–234. 290 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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