Mark A. Segraves

2.8k citations
30 papers · 2.0k · h-index 18

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
    • Memory and Neural Mechanisms

Papers in

    • Visual perception and processing mechanisms 23
    • Neural dynamics and brain function 16
    • EEG and Brain-Computer Interfaces 5
    • Neural and Behavioral Psychology Studies 3
    • Retinal Development and Disorders 9

Mark A. Segraves

30 papers receiving 1.9k citations

Peers

Mark A. Segraves
Comparison fields: 5 of 88
  • Cognitive Neuroscience 1.7k
  • General Decision Sciences 77
  • Sensory Systems 163
  • Neurology 218
  • Cellular and Molecular Neuroscience 264
Replace Jochen Ditterich with:
Jochen Ditterich United States
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Citations per year

Countries citing papers authored by Mark A. Segraves

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Segraves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Segraves. 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 Mark A. Segraves. The network helps show where Mark A. Segraves may publish in the future.

Co-authors

The 21 scholars most cited alongside Mark A. Segraves, 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 Mark A. Segraves Line = papers co-authored together Mark A. Segraves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987353
2 2003286
3 1999206
4 2006177
5 1987175
6 1992173
7 199599
8 199478
9 199351
10 201543
11 201343
12 200342
13 200942
14 200535
15 201629
16 199428
17 201620
18 201117
19 200615
20 200912

About Mark A. Segraves

Mark A. Segraves is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Sensory Systems, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (16 papers), Retinal Development and Disorders (9 papers), EEG and Brain-Computer Interfaces (5 papers), Visual Attention and Saliency Detection (5 papers), Neuroscience and Neural Engineering (4 papers), Olfactory and Sensory Function Studies (4 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), General Decision Sciences (77 citations), Sensory Systems (163 citations), Neurology (218 citations) and Cellular and Molecular Neuroscience (264 citations). Mark A. Segraves has collaborated with scholars based in United States, Japan and Bulgaria. Frequent co-authors include Michael E. Goldberg, Elisa C. Dias, Roger Ratcliff, Anil Cherian, Ryohei Hasegawa, Douglas D. Burman, Philip L. Smith, Adam N. Phillips, Janet Odry Helminski and Konrad P. Körding. Their work appears in journals such as Journal of Neurophysiology, Journal of Vision, Cerebral Cortex, Neural Networks and Behavioural Brain Research.

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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