Jonathan Synnott
Impact in
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- Context-Aware Activity Recognition Systems
- Demography top 10%
- Technology Use by Older Adults
Papers in
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- Context-Aware Activity Recognition Systems 17
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- Technology Use by Older Adults 9
- Co-authors
- Chris Nugent (23 shared papers)George Moore (5 shared papers)Liming Chen (5 shared papers)Paul Jeffers (1 shared paper)Róisín McNaney (3 shared papers)Joseph Rafferty (11 shared papers)George Kernohan (2 shared papers)Orla Duffy (2 shared papers)
- Journals
- JMIR Rehabilitation and Assistive Technologies (2 papers)Sensors (2 papers)JMIR Medical Education (1 paper)Multimedia Tools and Applications (1 paper)Remote Sensing (1 paper)
- Partner nations
- United KingdomSwedenMexico
In The Last Decade
Jonathan Synnott
28 papers receiving 317 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 147
- Demography 58
- Human-Computer Interaction 19
- Occupational Therapy 13
- Transportation 22
Countries citing papers authored by Jonathan Synnott
This map shows the geographic impact of Jonathan Synnott'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 Jonathan Synnott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Synnott more than expected).
Fields of papers citing papers by Jonathan Synnott
This network shows the impact of papers produced by Jonathan Synnott. 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 Jonathan Synnott. The network helps show where Jonathan Synnott may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Synnott, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 50 | |
| 2 | 2014 | 33 | |
| 3 | 2012 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2018 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2015 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2016 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2019 | 4 |
About Jonathan Synnott
Jonathan Synnott is a scholar working on Computer Vision and Pattern Recognition, Demography, Computer Networks and Communications, Neurology and Signal Processing, having authored 30 papers that have together received 326 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), Technology Use by Older Adults (9 papers), IoT and Edge/Fog Computing (3 papers), Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Wireless Body Area Networks (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Demography (58 citations), Human-Computer Interaction (19 citations), Occupational Therapy (13 citations) and Transportation (22 citations). Jonathan Synnott has collaborated with scholars based in United Kingdom, Sweden and Mexico. Frequent co-authors include Chris Nugent, George Moore, Liming Chen, Paul Jeffers, Róisín McNaney, Joseph Rafferty, George Kernohan, Orla Duffy, Jens Lundström and Ian Cleland. Their work appears in journals such as JMIR Rehabilitation and Assistive Technologies, Sensors, JMIR Medical Education, Multimedia Tools and Applications and Remote Sensing.
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.