Kirk G. Thompson

4.8k citations
32 papers · 3.6k indexed · 1 hit paper · h-index 25
Topics
Visual perception and processing mechanisms (29 papers)Neural dynamics and brain function (22 papers)Neural and Behavioral Psychology Studies (15 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Kirk G. Thompson

32 papers receiving 3.5k citations

Hit Papers

Signal Timing Across the Macaque Visual System19982026200720161998250500750

Peers

Kirk G. Thompson
Comparison fields: 5 of 100
  • Cognitive Neuroscience 3.4k
  • Cellular and Molecular Neuroscience 411
  • Molecular Biology 336
  • Computer Vision and Pattern Recognition 336
  • Sensory Systems 274
Replace Narcisse P. Bichot with:
Narcisse P. Bichot United States
Doug P. Hanes United States
Julio Martínez-Trujillo Canada
Fang Fang China
Jens‐Max Hopf Germany
Robert M. McPeek United States
Alexander C. Huk United States
Frans A.J. Verstraten Netherlands
Charles E. Connor United States
Uri Polat Israel
Kirk G. Thompson relative to Narcisse P. Bichot United States Narcisse P. Bichot's profile →
Citations per field
00.5×1.5×
Narcisse P. Bichot · 1×
Citations per year

Countries citing papers authored by Kirk G. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Kirk G. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirk G. Thompson. 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 Kirk G. Thompson. The network helps show where Kirk G. Thompson may publish in the future.

Co-authorship network of co-authors of Kirk G. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Kirk G. Thompson. A scholar is included among the top collaborators of Kirk G. Thompson 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 Kirk G. Thompson. Kirk G. Thompson 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 2
2 23
3 35
4 56
5 25
6 81
7 16
8 71
9 318
10 328
11 77
12 137
13 123
14 67
15 121
16
Signal Timing Across the Macaque Visual Systembreakdown →
768
17 25
18 35
19 20
20 16

About Kirk G. Thompson

Kirk G. Thompson is a scholar working on Cognitive Neuroscience, Sensory Systems and Ophthalmology, having authored 32 papers that have together received 3.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (29 papers), Neural dynamics and brain function (22 papers) and Neural and Behavioral Psychology Studies (15 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), Sensory Systems (274 citations) and Cellular and Molecular Neuroscience (411 citations). Kirk G. Thompson has collaborated with scholars based in United States, China and India. Frequent co-authors include Jeffrey D. Schall, Narcisse P. Bichot, Takashi Sato, Audie G. Leventhal, Doug P. Hanes, Matthew Schmolesky, Stefan Leutgeb, Aditya Murthy, Ilya E. Monosov and Jason C. Trageser. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

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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