Nabil Alshurafa
Impact in
- Family Practice top 2%
- Human-Computer Interaction top 2%
Papers in
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- Context-Aware Activity Recognition Systems 25
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- Mobile Health and mHealth Applications 23
- Co-authors
- Majid Sarrafzadeh (43 shared papers)Haik Kalantarian (17 shared papers)Wenyao Xu (12 shared papers)Mohammad Pourhomayoun (19 shared papers)Jason J. Liu (13 shared papers)Ming-Chun Huang (9 shared papers)Tuan Le (5 shared papers)Bobak J. Mortazavi (11 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (6 papers)IEEE Journal of Biomedical and Health Informatics (6 papers)Journal of Medical Internet Research (2 papers)npj Digital Medicine (2 papers)IEEE Sensors Journal (2 papers)
- Partner nations
- United StatesIndiaPhilippines
In The Last Decade
Nabil Alshurafa
95 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Family Practice 64
- Human-Computer Interaction 212
- Applied Psychology 147
- Computer Vision and Pattern Recognition 583
- Health Information Management 74
Countries citing papers authored by Nabil Alshurafa
This map shows the geographic impact of Nabil Alshurafa'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 Nabil Alshurafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Alshurafa more than expected).
Fields of papers citing papers by Nabil Alshurafa
This network shows the impact of papers produced by Nabil Alshurafa. 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 Nabil Alshurafa. The network helps show where Nabil Alshurafa may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabil Alshurafa, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2015 | 119 | |
| 3 | 2013 | 86 | |
| 4 | 2020 | 81 | |
| 5 | 2015 | 73 | |
| 6 | 2013 | 73 | |
| 7 | 2020 | 71 | |
| 8 | 2013 | 68 | |
| 9 | 2014 | 65 | |
| 10 | 2017 | 55 | |
| 11 | 2016 | 51 | |
| 12 | 2012 | 50 | |
| 13 | 2016 | 49 | |
| 14 | 2014 | 46 | |
| 15 | 2016 | 45 | |
| 16 | 2017 | 43 | |
| 17 | 2014 | 43 | |
| 18 | 2015 | 39 | |
| 19 | 2018 | 39 | |
| 20 | 2015 | 37 |
About Nabil Alshurafa
Nabil Alshurafa is a scholar working on Computer Vision and Pattern Recognition, General Health Professions, Biomedical Engineering, Public Health, Environmental and Occupational Health and Physiology, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (25 papers), Mobile Health and mHealth Applications (23 papers), Nutritional Studies and Diet (13 papers), Digital Mental Health Interventions (10 papers), Non-Invasive Vital Sign Monitoring (9 papers), Innovative Human-Technology Interaction (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Physical Activity and Health (7 papers). The work is most often cited by research in Family Practice (64 citations), Human-Computer Interaction (212 citations), Applied Psychology (147 citations), Computer Vision and Pattern Recognition (583 citations) and Health Information Management (74 citations). Nabil Alshurafa has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Majid Sarrafzadeh, Haik Kalantarian, Wenyao Xu, Mohammad Pourhomayoun, Jason J. Liu, Ming-Chun Huang, Tuan Le, Bobak J. Mortazavi, Feng Lin and Bonnie Spring. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Journal of Biomedical and Health Informatics, Journal of Medical Internet Research, npj Digital Medicine and IEEE Sensors Journal.
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.