Conor Senecal
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Mobile Health and mHealth Applications 4
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- Data-Driven Disease Surveillance 3
- Co-authors
- Amir Lerman (14 shared papers)Lilach O. Lerman (9 shared papers)R. Jay Widmer (8 shared papers)Rajiv Gulati (3 shared papers)Francisco López-Jiménez (5 shared papers)José R. Medina‐Inojosa (2 shared papers)Rickey E. Carter (1 shared paper)Véronique L. Roger (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Journal of the American College of Cardiology (2 papers)Digital Health (2 papers)Journal of the American Society of Hypertension (1 paper)Journal of Obesity (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Conor Senecal
14 papers receiving 384 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 57
- Health Information Management 33
- Cardiology and Cardiovascular Medicine 149
- Radiology, Nuclear Medicine and Imaging 63
- Applied Psychology 9
Countries citing papers authored by Conor Senecal
This map shows the geographic impact of Conor Senecal'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 Conor Senecal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Senecal more than expected).
Fields of papers citing papers by Conor Senecal
This network shows the impact of papers produced by Conor Senecal. 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 Conor Senecal. The network helps show where Conor Senecal may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Senecal, 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 | 2020 | 156 | |
| 2 | 2019 | 64 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2018 | 1 |
About Conor Senecal
Conor Senecal is a scholar working on General Health Professions, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Health Information Management, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (4 papers), Data-Driven Disease Surveillance (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Obesity, Physical Activity, Diet (1 paper), Artificial Intelligence in Healthcare (1 paper), Eating Disorders and Behaviors (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (57 citations), Health Information Management (33 citations), Cardiology and Cardiovascular Medicine (149 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Applied Psychology (9 citations). Conor Senecal has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Amir Lerman, Lilach O. Lerman, R. Jay Widmer, Rajiv Gulati, Francisco López-Jiménez, José R. Medina‐Inojosa, Rickey E. Carter, Véronique L. Roger, Panithaya Chareonthaitawee and Suraj Kapa. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American College of Cardiology, Digital Health, Journal of the American Society of Hypertension and Journal of Obesity.
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.