David B. T. McMahon

868 citations
16 papers · 636 indexed · h-index 13
Topics
Neural dynamics and brain function (11 papers)Face Recognition and Perception (7 papers)Visual perception and processing mechanisms (7 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

David B. T. McMahon

16 papers receiving 629 citations

Peers

David B. T. McMahon
Comparison fields: 5 of 76
  • Cognitive Neuroscience 438
  • Cellular and Molecular Neuroscience 250
  • Molecular Biology 101
  • Sensory Systems 66
  • Nutrition and Dietetics 50
Replace Ian Bowman with:
Ian Bowman United States
Daniel P. Darcy United States
Yuji Naya China
Henry Lütcke Switzerland
Aslı Ayaz United Kingdom
Seita Yamashita United States
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Caroline A. Runyan United States
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David B. T. McMahon relative to Ian Bowman United States Ian Bowman's profile →
Citations per field
00.5×2.9×
Ian Bowman · 1×
Citations per year

Countries citing papers authored by David B. T. McMahon

Since Specialization
Citations

This map shows the geographic impact of David B. T. McMahon'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 David B. T. McMahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. T. McMahon more than expected).

Fields of papers citing papers by David B. T. McMahon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. T. McMahon. 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 David B. T. McMahon. The network helps show where David B. T. McMahon may publish in the future.

Co-authorship network of co-authors of David B. T. McMahon

This figure shows the co-authorship network connecting the top 25 collaborators of David B. T. McMahon. A scholar is included among the top collaborators of David B. T. McMahon 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 David B. T. McMahon. David B. T. McMahon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 11
2 33
3 37
4 43
5 52
6 44
7 29
8 1
9 23
10 97
11 72
12 35
13 27
14 25
15 106
16
Rapid Application Development with Visual Basic 6
1

About David B. T. McMahon

David B. T. McMahon is a scholar working on Sensory Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 636 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Face Recognition and Perception (7 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (438 citations), Cellular and Molecular Neuroscience (250 citations) and Sensory Systems (66 citations). David B. T. McMahon has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Carl R. Olson, David A. Leopold, Germán Barrionuevo, Brian E. Russ, I. V. Bondar, Kristen M. Harris, Darrell A. Henze, Kenji W. Koyano, Eric D. Norman and James M. Trzăskos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of 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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