Ben Craven

15 papers receiving 323 citations

Peers

Ben Craven
Comparison fields: 5 of 56
  • Cognitive Neuroscience 285
  • Social Psychology 190
  • Atomic and Molecular Physics, and Optics 171
  • Experimental and Cognitive Psychology 33
  • Computer Vision and Pattern Recognition 27
Replace Rainer Mausfeld with:
Rainer Mausfeld Germany
Shigeko Takahashi Japan
William Beaudot Canada
Ana Radonjić United States
Keizo Shinomori Japan
Julian S. Joseph United States
Hoover Chan United States
Susan Petry United States
Gunilla Derefeldt Sweden
Patrick Cavanagh United States
Ben Craven relative to Rainer Mausfeld Germany Rainer Mausfeld's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ben Craven

Since Specialization
Citations

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

Fields of papers citing papers by Ben Craven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Craven. 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 Ben Craven. The network helps show where Ben Craven may publish in the future.

Co-authorship network of co-authors of Ben Craven

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1
Teaching mathematics at a distance: Trialling a wiki community to focus reflection and share resources
1
2 18
3 33
4 15
5 53
6 2
7 6
8 12
9 22
10
A model for the observer on the Farnsworth-Munsell 100-hue test.
7
11
A second box-end scoring artifact in the Farnsworth-Munsell 100-hue test.
5
12 36
13 13
14 107
15 17

About Ben Craven

Ben Craven is a scholar working on Cognitive Neuroscience, Computer Science Applications and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 347 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Color Science and Applications (5 papers) and Color perception and design (3 papers). The work is most often cited by research in Cognitive Neuroscience (285 citations), Social Psychology (190 citations) and Atomic and Molecular Physics, and Optics (171 citations). Ben Craven has collaborated with scholars based in United Kingdom, Portugal and Netherlands. Frequent co-authors include David Foster, William A. Phillips, Frans W. Cornelissen, Karina J. Linnell, Sérgio Nascimento, Eli Brenner, R.J. Watt, J. H. B. Scarpello, Kevin Hardy and Janet Macdonald. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Vision Research and British Journal of Psychology.

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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