Christopher A. Longmore

466 citations
12 papers · 322 · h-index 8

Impact in

Papers in

Christopher A. Longmore

12 papers receiving 310 citations

Peers

Christopher A. Longmore
Comparison fields: 5 of 46
  • Cognitive Neuroscience 238
  • Experimental and Cognitive Psychology 149
  • Developmental and Educational Psychology 73
  • Computer Vision and Pattern Recognition 117
  • General Decision Sciences 7
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Citations per field
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Citations per year

Countries citing papers authored by Christopher A. Longmore

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Longmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Christopher A. Longmore, 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 Christopher A. Longmore Line = papers co-authored together Christopher A. Longmore links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2008123
2 201051
3 200843
4 201332
5 201423
6 201219
7 200811
8 20168
9 20096
10 20154
11
Free Classification: Evidence for an Analytic System of Overall Similarity Sorting
20071
12 20231

About Christopher A. Longmore

Christopher A. Longmore is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Sociology and Political Science, having authored 12 papers that have together received 322 indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Evolutionary Psychology and Human Behavior (5 papers), Face recognition and analysis (5 papers), Child and Animal Learning Development (4 papers), Psychology of Moral and Emotional Judgment (3 papers), Decision-Making and Behavioral Economics (2 papers), Psychology of Social Influence (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Cognitive Neuroscience (238 citations), Experimental and Cognitive Psychology (149 citations), Developmental and Educational Psychology (73 citations), Computer Vision and Pattern Recognition (117 citations) and General Decision Sciences (7 citations). Christopher A. Longmore has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Andrew W. Young, Chang Hong Liu, Fraser Milton, Andy J. Wills, Jeremy J. Tree, Alan Slater, David J. Kelly, Paul C. Quinn, Olivier Pascalis and Kang Lee. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Journal of Experimental Psychology Human Perception & Performance, Memory, Cognitive Development and Neuropsychologia.

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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