David Windridge
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Video Analysis and Summarization 11
- Face and Expression Recognition 9
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- Machine Learning and Data Classification 14
- Psychiatry, Mental Health, Neuroscience 7
- Neural Networks and Applications 7
- Machine Learning and ELM 6
- Co-authors
- Josef Kittler (29 shared papers)Santosh Tirunagari (14 shared papers)Norman Poh (7 shared papers)Anthony T. S. Ho (1 shared paper)Aamo Iorliam (2 shared papers)Richard Bowden (5 shared papers)William J. Christmas (12 shared papers)Seyed Ali Ghorashi (3 shared papers)
- Journals
- Lecture notes in computer science (26 papers)Image and Vision Computing (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Pattern Recognition (2 papers)
- Partner nations
- United KingdomRussiaItaly
In The Last Decade
David Windridge
116 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Signal Processing 237
- Human-Computer Interaction 137
- Health Informatics 43
- Computer Vision and Pattern Recognition 429
- Artificial Intelligence 324
Countries citing papers authored by David Windridge
This map shows the geographic impact of David Windridge'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 Windridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Windridge more than expected).
Fields of papers citing papers by David Windridge
This network shows the impact of papers produced by David Windridge. 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 Windridge. The network helps show where David Windridge may publish in the future.
Co-authors
The 25 scholars most cited alongside David Windridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2004 | 126 | |
| 3 | 2021 | 104 | |
| 4 | 2014 | 63 | |
| 5 | 2020 | 53 | |
| 6 | 2011 | 52 | |
| 7 | 1998 | 48 | |
| 8 | 2021 | 45 | |
| 9 | 2016 | 41 | |
| 10 | 2013 | 40 | |
| 11 | 2011 | 35 | |
| 12 | 2015 | 34 | |
| 13 | 2015 | 31 | |
| 14 | 2018 | 31 | |
| 15 | 2012 | 27 | |
| 16 | 2018 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2019 | 22 |
About David Windridge
David Windridge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Health Information Management, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (14 papers), Video Analysis and Summarization (11 papers), Face and Expression Recognition (9 papers), Psychiatry, Mental Health, Neuroscience (7 papers), Embodied and Extended Cognition (7 papers), Neural Networks and Applications (7 papers), Data Mining and Machine Learning Applications (6 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Signal Processing (237 citations), Human-Computer Interaction (137 citations), Health Informatics (43 citations), Computer Vision and Pattern Recognition (429 citations) and Artificial Intelligence (324 citations). David Windridge has collaborated with scholars based in United Kingdom, Russia and Italy. Frequent co-authors include Josef Kittler, Santosh Tirunagari, Norman Poh, Anthony T. S. Ho, Aamo Iorliam, Richard Bowden, William J. Christmas, Seyed Ali Ghorashi, Jean‐Yves Guillemaut and Reza Shahbazian. Their work appears in journals such as Lecture notes in computer science, Image and Vision Computing, Scientific Reports, PLoS ONE and Pattern Recognition.
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.