Andrew T. Smith

7.7k total citations
151 papers, 6.2k citations indexed

About

Andrew T. Smith is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew T. Smith has authored 151 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew T. Smith's work include Visual perception and processing mechanisms (107 papers), Neural dynamics and brain function (72 papers) and Neurobiology and Insect Physiology Research (15 papers). Andrew T. Smith is often cited by papers focused on Visual perception and processing mechanisms (107 papers), Neural dynamics and brain function (72 papers) and Neurobiology and Insect Physiology Research (15 papers). Andrew T. Smith collaborates with scholars based in United Kingdom, United States and Italy. Andrew T. Smith's co-authors include Matthew B. Wall, Krish D. Singh, Timothy Ledgeway, Mark W. Greenlee, Adrian L. Williams, Graham K Edgar, Robert J. Snowden, Velia Cardin, Peter Hammond and Jonas Larsson and has published in prestigious journals such as Nature, Journal of Neuroscience and Physical review. B, Condensed matter.

In The Last Decade

Andrew T. Smith

147 papers receiving 6.1k citations

Peers

Andrew T. Smith
Comparison fields: 5 of 164
  • Cognitive Neuroscience 5.4k
  • Cellular and Molecular Neuroscience 790
  • Social Psychology 631
  • Experimental and Cognitive Psychology 630
  • Neurology 613
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Citations per field, relative to Andrew T. Smith
Andrew T. Smith · 1×
Citations per year, relative to Andrew T. Smith
Andrew T. Smith · 1×

Countries citing papers authored by Andrew T. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Andrew T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Smith. 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 Andrew T. Smith. The network helps show where Andrew T. Smith may publish in the future.

Co-authorship network of co-authors of Andrew T. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Smith. A scholar is included among the top collaborators of Andrew T. Smith 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 Andrew T. Smith. Andrew T. Smith 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 46
2 36
3 9
4 1
5 12
6 2
7 13
8 32
9 261
10 11
11 28
12
Global motion segregation does not depend on detection of steep motion gradients
1
13 56
14 63
15 123
16 34
17 51
18
Visual detection of motion
211
19 70
20 33

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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