David S. Wooding

972 citations
15 papers · 704 indexed · h-index 9
Topics
Visual perception and processing mechanisms (5 papers)Gaze Tracking and Assistive Technology (5 papers)AI in cancer detection (4 papers)
Partner nations
United Kingdom

In The Last Decade

David S. Wooding

15 papers receiving 674 citations

Peers

David S. Wooding
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 479
  • Cognitive Neuroscience 426
  • Human-Computer Interaction 285
  • Sensory Systems 101
  • Experimental and Cognitive Psychology 52
Replace J. Najemnik with:
J. Najemnik United States
Laura Renninger United States
Benjamin T. Vincent United Kingdom
Asha Iyer United States
Thomas S. A. Wallis Germany
Sheikh Mannan United Kingdom
Po-He Tseng United States
Filipe Cristino United Kingdom
George L. Malcolm United Kingdom
Pieter Unema Netherlands
David S. Wooding relative to J. Najemnik United States J. Najemnik's profile →
Citations per field
00.5×1.5×
J. Najemnik · 1×
Citations per year

Countries citing papers authored by David S. Wooding

Since Specialization
Citations

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

Fields of papers citing papers by David S. Wooding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Wooding. 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 S. Wooding. The network helps show where David S. Wooding may publish in the future.

Co-authorship network of co-authors of David S. Wooding

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Wooding. A scholar is included among the top collaborators of David S. Wooding 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 S. Wooding. David S. Wooding 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 2
2 5
3 8
4 2
5 1
6 76
7 32
8 6
9 111
10 10
11 13
12 70
13 70
14 155
15 143

About David S. Wooding

David S. Wooding is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 704 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Gaze Tracking and Assistive Technology (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Human-Computer Interaction (285 citations), Computer Vision and Pattern Recognition (479 citations) and Cognitive Neuroscience (426 citations). David S. Wooding has collaborated with scholars based in United Kingdom. Frequent co-authors include K.H. Ruddock, Sheikh Mannan, Sabira K. Mannan, Alastair G. Gale, Geraint Roberts, Adolfo M. Bronstein, Antony B. Morland, Jane Phillips‐Hughes and Amy Smith. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Perception and Spatial Vision.

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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