Jacob Feldman

5.9k total citations
101 papers, 3.7k citations indexed

About

Jacob Feldman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jacob Feldman has authored 101 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 24 papers in Computer Vision and Pattern Recognition and 24 papers in Artificial Intelligence. Recurrent topics in Jacob Feldman's work include Visual perception and processing mechanisms (44 papers), Morphological variations and asymmetry (11 papers) and Child and Animal Learning Development (10 papers). Jacob Feldman is often cited by papers focused on Visual perception and processing mechanisms (44 papers), Morphological variations and asymmetry (11 papers) and Child and Animal Learning Development (10 papers). Jacob Feldman collaborates with scholars based in United States, Netherlands and Belgium. Jacob Feldman's co-authors include Manish Singh, Patrice D. Tremoulet, Fabien Mathy, Brian J. Scholl, Zenon W. Pylyshyn, Joshua B. Tenenbaum, Noah D. Goodman, Elan Barenholtz, Thomas L. Griffiths and Erica Briscoe and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Psychological Bulletin.

In The Last Decade

Jacob Feldman

92 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Feldman United States 30 2.0k 780 753 684 618 101 3.7k
Shimon Edelman United States 33 3.2k 1.6× 550 0.7× 809 1.1× 1.6k 2.3× 431 0.7× 152 5.2k
John E. Hummel United States 25 1.4k 0.7× 504 0.6× 336 0.4× 461 0.7× 285 0.5× 50 2.4k
Robert M. French France 34 1.1k 0.6× 962 1.2× 1.8k 2.3× 579 0.8× 398 0.6× 124 4.3k
Noah D. Goodman United States 46 1.8k 0.9× 2.6k 3.4× 3.4k 4.5× 576 0.8× 892 1.4× 203 8.2k
Jerome A. Feldman United States 33 1.3k 0.7× 339 0.4× 1.9k 2.5× 589 0.9× 443 0.7× 109 4.7k
James R. Pomerantz United States 22 2.9k 1.5× 622 0.8× 258 0.3× 467 0.7× 759 1.2× 53 4.1k
Charles K. West United States 12 2.6k 1.3× 740 0.9× 224 0.3× 413 0.6× 1.3k 2.1× 43 5.3k
Robert E. Shaw United States 26 1.2k 0.6× 478 0.6× 145 0.2× 352 0.5× 645 1.0× 76 3.2k
Thomas J. Palmeri United States 42 4.5k 2.3× 1.8k 2.3× 989 1.3× 687 1.0× 652 1.1× 128 6.5k
Charles Kemp United States 24 1.1k 0.6× 1.2k 1.5× 1.9k 2.5× 230 0.3× 413 0.7× 90 4.3k

Countries citing papers authored by Jacob Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Feldman. A scholar is included among the top collaborators of Jacob Feldman 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 Jacob Feldman. Jacob Feldman 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.
Feldman, Jacob, et al.. (2023). A Prior for Convexity can Override the Rigidity Assumption in Structure-From-Motion. Journal of Vision. 23(9). 5643–5643.
2.
Singh, Manish, et al.. (2019). Shape discrimination along morph-spaces. Vision Research. 158. 189–199. 8 indexed citations
3.
Feldman, Jacob, et al.. (2018). When Is Accreting/Deleting Texture Seen as In Front? Interpretation of Depth From Texture Motion. Perception. 47(7). 694–721. 1 indexed citations
4.
Feldman, Jacob. (2017). Decision Modeling with DMN and OpenRules.. 1 indexed citations
5.
Saleh, Babak, Ahmed Elgammal, & Jacob Feldman. (2016). Incorporating prototype theory in convolutional neural networks. International Joint Conference on Artificial Intelligence. 3446–3453. 2 indexed citations
6.
Wilder, John, Jacob Feldman, & Manish Singh. (2011). Contour complexity and contour detectability. Journal of Vision. 11(11). 1044–1044. 1 indexed citations
7.
Cholewiak, Steven A., et al.. (2011). Perception of intentions and mental states in autonomous virtual agents. Cognitive Science. 33(33). 2 indexed citations
8.
Kogo, Naoki, et al.. (2011). Integration of contour and skeleton based cues in the reconstruction of surface structure. Perception. 40. 1 indexed citations
9.
Feldman, Jacob, et al.. (2011). Exploring the mental space of autonomous intentional agents. Attention Perception & Psychophysics. 74(1). 239–249. 6 indexed citations
10.
Mathy, Fabien & Jacob Feldman. (2011). What’s magic about magic numbers? Chunking and data compression in short-term memory. Cognition. 122(3). 346–362. 177 indexed citations
11.
Feldman, Jacob, et al.. (2010). Exploring the mental space of autonomous intentional agents. eScholarship (California Digital Library). 32(32). 2 indexed citations
12.
Harrison, Sarah & Jacob Feldman. (2009). Perceptual comparison of features within and between objects: A new look. Vision Research. 49(23). 2790–2799. 15 indexed citations
13.
Goodman, Noah D., Thomas Griffiths, Jacob Feldman, & Joshua B. Tenenbaum. (2007). A Rational Analysis of Rule-based Concept Learning. UWA Profiles and Research Repository (University of Western Australia). 29(29). 2 indexed citations
14.
Briscoe, Erica & Jacob Feldman. (2006). Conceptual Complexity and the Bias-Variance Tradeoff. eScholarship (California Digital Library). 28(28). 3 indexed citations
15.
Feldman, Jacob, et al.. (2006). Subjective Complexity of Categories Defined over Three-Valued Features. eScholarship (California Digital Library). 28(28). 5 indexed citations
16.
Tremoulet, Patrice D. & Jacob Feldman. (2006). The influence of spatial context and the role of intentionality in the interpretation of animacy from motion. Perception & Psychophysics. 68(6). 1047–1058. 93 indexed citations
17.
Feldman, Jacob. (2003). A catalog of Boolean concepts. Journal of Mathematical Psychology. 47(1). 75–89. 56 indexed citations
18.
Fass, David N. & Jacob Feldman. (2002). Categorization Under Complexity: A Unified MDL Account of Human Learning of Regular and Irregular Categories. Neural Information Processing Systems. 15. 35–42. 13 indexed citations
19.
Feldman, Jacob. (2000). Bias toward regular form in mental shape spaces.. Journal of Experimental Psychology Human Perception & Performance. 26(1). 152–165. 35 indexed citations
20.
Feldman, Jacob. (1997). Curvilinearity, covariance, and regularity in perceptual groups. Vision Research. 37(20). 2835–2848. 55 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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