Suzanne P. McKee

7.6k total citations
87 papers, 6.0k citations indexed

About

Suzanne P. McKee is a scholar working on Cognitive Neuroscience, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suzanne P. McKee has authored 87 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Cognitive Neuroscience, 29 papers in Epidemiology and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suzanne P. McKee's work include Visual perception and processing mechanisms (83 papers), Ophthalmology and Visual Impairment Studies (29 papers) and Neural dynamics and brain function (28 papers). Suzanne P. McKee is often cited by papers focused on Visual perception and processing mechanisms (83 papers), Ophthalmology and Visual Impairment Studies (29 papers) and Neural dynamics and brain function (28 papers). Suzanne P. McKee collaborates with scholars based in United States, United Kingdom and Australia. Suzanne P. McKee's co-authors include Gerald Westheimer, Dennis M. Levi, Ken Nakayama, J. Anthony Movshon, Yury Petrov, Leslie Welch, Scott Watamaniuk, Preeti Verghese, Norberto M. Grzywacz and John J. McCann and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Suzanne P. McKee

86 papers receiving 5.8k citations

Peers

Suzanne P. McKee
Comparison fields: 5 of 125
  • Cognitive Neuroscience 5.4k
  • Epidemiology 1.5k
  • Computer Vision and Pattern Recognition 876
  • Atomic and Molecular Physics, and Optics 794
  • Ophthalmology 775
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Citations per field, relative to Suzanne P. McKee
Suzanne P. McKee · 1×
Citations per year, relative to Suzanne P. McKee
Suzanne P. McKee · 1×

Countries citing papers authored by Suzanne P. McKee

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne P. McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne P. McKee. 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 Suzanne P. McKee. The network helps show where Suzanne P. McKee may publish in the future.

Co-authorship network of co-authors of Suzanne P. McKee

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne P. McKee. A scholar is included among the top collaborators of Suzanne P. McKee 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 Suzanne P. McKee. Suzanne P. McKee 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
# Work Indexed citations
1 14
2 64
3 93
4 93
5 34
6 8
7 16
8 154
9 32
10 53
11 109
12 12
13 25
14 86
15 51
16 64
17 46
18 73
19 26
20
Hyperacuity line length and spatial frequency (A)
2

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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