Jacob Feldman

5.9k citations
101 papers · 3.7k · h-index 30

Impact in

Papers in

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
  • General Decision Sciences 97
  • Experimental and Cognitive Psychology 602
  • Computer Vision and Pattern Recognition 684
Replace John E. Hummel with:
John E. Hummel United States
József Fiser United States
James R. Pomerantz United States
Robert M. French France
Brian J. Scholl United States
William Epstein United States
Hongjing Lu United States
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Citations per field
00.5×5.3×
John E. Hummel · 1×
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-authors

The 25 scholars most cited alongside Jacob Feldman, 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 Jacob Feldman Line = papers co-authored together Jacob Feldman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000309
2 2012301
3 2000294
4 2001240
5 2008234
6 2011177
7 2005165
8 2006137
9 2003116
10 201099
11 200693
12 200392
13 200774
14 200172
15 200665
16 200360
17 199760
18 200357
19 200356
20 201656

About Jacob Feldman

Jacob Feldman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Geometry and Topology and Developmental and Educational Psychology, 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), Child and Animal Learning Development (10 papers), Visual Attention and Saliency Detection (9 papers), Bayesian Modeling and Causal Inference (9 papers), Neural dynamics and brain function (8 papers), Face Recognition and Perception (6 papers) and Aesthetic Perception and Analysis (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Developmental and Educational Psychology (780 citations), General Decision Sciences (97 citations), Experimental and Cognitive Psychology (602 citations) and Computer Vision and Pattern Recognition (684 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, Thomas L. Griffiths, Elan Barenholtz and Erica Briscoe. Their work appears in journals such as Journal of Vision, Cognition, Vision Research, Psychological Review 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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