Michael E. Rudd

1.2k citations
53 papers · 916 · h-index 17

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Color perception and design

Papers in

Michael E. Rudd

49 papers receiving 892 citations

Peers

Michael E. Rudd
Comparison fields: 5 of 94
  • Cognitive Neuroscience 728
  • Social Psychology 299
  • Cellular and Molecular Neuroscience 172
  • Atomic and Molecular Physics, and Optics 286
  • Sensory Systems 36
Replace Nicolas P. Cottaris with:
Nicolas P. Cottaris United States
Steven L. Buck United States
Rhea T. Eskew United States
D. I. A. MacLeod United States
Hannah E. Smithson United Kingdom
Hüseyin Boyacı United States
Hirohisa Yaguchi Japan
Tony Vladusich Australia
Glenn E. Meyer United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Rudd

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Rudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Rudd. 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 Michael E. Rudd. The network helps show where Michael E. Rudd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 199271
3 200170
4 200457
5 198956
6 200745
7 201037
8 200533
9 201332
10 196831
11 200727
12 200726
13 199926
14 199725
15 201419
16 200116
17 201716
18 199815
19 199614
20 200911

About Michael E. Rudd

Michael E. Rudd is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Social Psychology, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 916 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (45 papers), Color Science and Applications (24 papers), Neural dynamics and brain function (19 papers), Color perception and design (17 papers), Neurobiology and Insect Physiology Research (6 papers), Ocular and Laser Science Research (4 papers), Retinal Development and Disorders (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (728 citations), Social Psychology (299 citations), Cellular and Molecular Neuroscience (172 citations), Atomic and Molecular Physics, and Optics (286 citations) and Sensory Systems (36 citations). Michael E. Rudd has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Fred Rieke, S. Grossberg, Stephen Grossberg, Lawrence G. Brown, Shelby L. Langer, Karen L. Syrjala, Peter Krämer, Bruno G. Breitmeyer, Dan O. Popa and Alessandro Soranzo. Their work appears in journals such as Journal of Vision, Vision Research, Journal of the Optical Society of America A, Psychological Review and Review of Scientific Instruments.

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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