J. Farringdon
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Context-Aware Activity Recognition Systems 3
- Video Analysis and Summarization 1
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- Spinal Cord Injury Research 2
- Co-authors
- Jessica A. Church (1 shared paper)Andreas Krause (1 shared paper)Daniel P. Siewiorek (1 shared paper)Asim Smailagic (1 shared paper)Rory A. Cooper (2 shared papers)Dan Ding (2 shared papers)Shivayogi V. Hiremath (2 shared papers)Tim Shallice (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Archives of Physical Medicine and Rehabilitation (1 paper)Spinal Cord (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
J. Farringdon
8 papers receiving 342 citations
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 57
- Computer Vision and Pattern Recognition 175
- Occupational Therapy 14
- Pathology and Forensic Medicine 53
- Biomedical Engineering 111
Countries citing papers authored by J. Farringdon
This map shows the geographic impact of J. Farringdon'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 J. Farringdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Farringdon more than expected).
Fields of papers citing papers by J. Farringdon
This network shows the impact of papers produced by J. Farringdon. 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 J. Farringdon. The network helps show where J. Farringdon may publish in the future.
Co-authors
The 10 scholars most cited alongside J. Farringdon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 148 | |
| 2 | 2004 | 101 | |
| 3 | 1996 | 44 | |
| 4 | 2012 | 36 | |
| 5 | 2013 | 32 | |
| 6 | 2002 | 23 | |
| 7 | 2003 | 1 | |
| 8 | 2000 | 1 |
About J. Farringdon
J. Farringdon is a scholar working on Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Artificial Intelligence, Human-Computer Interaction and Control and Systems Engineering, having authored 8 papers that have together received 386 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Spinal Cord Injury Research (2 papers), Multimedia Communication and Technology (1 paper), Video Analysis and Summarization (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), AI-based Problem Solving and Planning (1 paper), Hand Gesture Recognition Systems (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Human-Computer Interaction (57 citations), Computer Vision and Pattern Recognition (175 citations), Occupational Therapy (14 citations), Pathology and Forensic Medicine (53 citations) and Biomedical Engineering (111 citations). J. Farringdon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jessica A. Church, Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, Rory A. Cooper, Dan Ding, Shivayogi V. Hiremath, Tim Shallice, Julie Fox and Richard Cooper. Their work appears in journals such as Artificial Intelligence, Archives of Physical Medicine and Rehabilitation and Spinal Cord.
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.