Thomas J. Palmeri

121 papers receiving 6.2k citations

Hit Papers

Rule-plus-exception model of classification learning.199420262004201519941997100200300400500

Peers

Thomas J. Palmeri
Comparison fields: 5 of 151
  • Cognitive Neuroscience 4.5k
  • Experimental and Cognitive Psychology 1.9k
  • Developmental and Educational Psychology 1.8k
  • Artificial Intelligence 989
  • Computer Vision and Pattern Recognition 687
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Citations per field
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Citations per year

Countries citing papers authored by Thomas J. Palmeri

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Palmeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Palmeri. 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 Thomas J. Palmeri. The network helps show where Thomas J. Palmeri may publish in the future.

Co-authorship network of co-authors of Thomas J. Palmeri

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Palmeri. A scholar is included among the top collaborators of Thomas J. Palmeri 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 Thomas J. Palmeri. Thomas J. Palmeri 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 1
3 5
4 13
5 86
6 65
7 12
8 1
9 2
10 1
11 137
12 23
13
Relating neurophysiology and drift diffusion models
1
14 28
15
Distinguishing Between Perceptual and Decisional Sources of Holism in Face Processing
8
16 106
17
Unraveling the Time-course of Perceptual Categorization: Does Fastest Mean First?
9
18
Prototype Abstraction in Category Learning
2
19
Investigating Dissociations Betweend Perceptual Categorization and Explicit Memory
2
20 70

About Thomas J. Palmeri

Thomas J. Palmeri is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 128 papers that have together received 6.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (47 papers), Visual perception and processing mechanisms (32 papers) and Neural and Behavioral Psychology Studies (28 papers). The work is most often cited by research in Cognitive Neuroscience (4.5k citations), General Decision Sciences (352 citations) and Experimental and Cognitive Psychology (1.9k citations). Thomas J. Palmeri has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Robert M. Nosofsky, L. Gauthier, Gordon D. Logan, Jeffrey D. Schall, Stephen C. McKinley, Jennifer J. Richler, Michael L. Mack, Leanne Boucher, Alan C.‐N. Wong and David B. Pisoni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature reviews. Neuroscience.

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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