Jon Purdy
Impact in
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- Ophthalmology and Visual Impairment Studies
- Ophthalmology top 10%
- Glaucoma and retinal disorders
Papers in
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- Data Visualization and Analytics 2
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- Distributed and Parallel Computing Systems 2
- Distributed systems and fault tolerance 2
- Co-authors
- A. Foss (2 shared papers)Isabel M Ash (2 shared papers)Sue Cobb (2 shared papers)Richard Eastgate (2 shared papers)Apostolos Fakis (1 shared paper)Simon Marlow (2 shared papers)Anthony J. Vivian (1 shared paper)Richard Gregson (1 shared paper)
- Journals
- Journal of Cardiac Failure (1 paper)Critical Care Medicine (1 paper)Eye (1 paper)Information Visualization (1 paper)ACM SIGPLAN Notices (1 paper)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
Jon Purdy
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 62
- Epidemiology 119
- Ophthalmology 24
- Cognitive Neuroscience 52
- Human-Computer Interaction 11
- Hardware and Architecture 10
Countries citing papers authored by Jon Purdy
This map shows the geographic impact of Jon Purdy'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 Jon Purdy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Purdy more than expected).
Fields of papers citing papers by Jon Purdy
This network shows the impact of papers produced by Jon Purdy. 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 Jon Purdy. The network helps show where Jon Purdy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Purdy, 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 | 2016 | 80 | |
| 2 | 2013 | 53 | |
| 3 | 2014 | 18 | |
| 4 | 2007 | 11 | |
| 5 | 2006 | 10 | |
| 6 | 2015 | 10 | |
| 7 | 2014 | 8 | |
| 8 | 2016 | 7 | |
| 9 | 1976 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 2004 | 3 | |
| 12 | 2006 | 1 | |
| 13 | 2002 | 1 | |
| 14 | 2020 | 0 |
About Jon Purdy
Jon Purdy is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Cognitive Neuroscience, Signal Processing and Epidemiology, having authored 14 papers that have together received 209 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (2 papers), Data Visualization and Analytics (2 papers), Educational Games and Gamification (2 papers), Parallel Computing and Optimization Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Distributed systems and fault tolerance (2 papers), Time Series Analysis and Forecasting (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Epidemiology (119 citations), Ophthalmology (24 citations), Cognitive Neuroscience (52 citations), Human-Computer Interaction (11 citations) and Hardware and Architecture (10 citations). Jon Purdy has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include A. Foss, Isabel M Ash, Sue Cobb, Richard Eastgate, Apostolos Fakis, Simon Marlow, Anthony J. Vivian, Richard Gregson, S M Haworth and Trish Hepburn. Their work appears in journals such as Journal of Cardiac Failure, Critical Care Medicine, Eye, Information Visualization and ACM SIGPLAN Notices.
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.