Jacob Feldman

5.9k citations
101 papers · 3.7k indexed · h-index 30
Topics
Visual perception and processing mechanisms (44 papers)Morphological variations and asymmetry (11 papers)Child and Animal Learning Development (10 papers)

In The Last Decade

Jacob Feldman

92 papers receiving 3.5k citations

Peers

Jacob Feldman
Comparison fields: 5 of 162
  • Cognitive Neuroscience 2.0k
  • Developmental and Educational Psychology 780
  • Artificial Intelligence 753
  • Computer Vision and Pattern Recognition 684
  • Social Psychology 618
Replace John E. Hummel with:
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 0
2 8
3 1
4
Decision Modeling with DMN and OpenRules.
1
5
Incorporating prototype theory in convolutional neural networks
2
6 1
7
Perception of intentions and mental states in autonomous virtual agents
2
8
Integration of contour and skeleton based cues in the reconstruction of surface structure
1
9 6
10 177
11
Exploring the mental space of autonomous intentional agents
2
12 15
13
A Rational Analysis of Rule-based Concept Learning
2
14
Conceptual Complexity and the Bias-Variance Tradeoff
3
15
Subjective Complexity of Categories Defined over Three-Valued Features
5
16 93
17 56
18
Categorization Under Complexity: A Unified MDL Account of Human Learning of Regular and Irregular Categories
13
19 35
20 55

About Jacob Feldman

Jacob Feldman is a scholar working on Cognitive Neuroscience, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 3.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (44 papers), Morphological variations and asymmetry (11 papers) and Child and Animal Learning Development (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Developmental and Educational Psychology (780 citations) and General Decision Sciences (97 citations). Jacob Feldman has collaborated with scholars based in United States, Netherlands and Belgium. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Psychological Bulletin.

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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