Fred Raab
Impact in
- Applied Psychology top 2%
- Digital Mental Health Interventions
- Behavioral Health and Interventions
- General Health Professions top 1%
- Mobile Health and mHealth Applications
Papers in
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- Mobile Health and mHealth Applications 6
- Health Literacy and Information Accessibility 1
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- Software System Performance and Reliability 1
- Co-authors
- Kevin Patrick (10 shared papers)William G. Griswold (8 shared papers)Gregory J. Norman (6 shared papers)Stephen Intille (1 shared paper)Lindsay Dillon (3 shared papers)Cheryl L. Rock (3 shared papers)Marc A. Adams (1 shared paper)Timothy Sohn (2 shared papers)
- Journals
- Journal of Medical Internet Research (1 paper)Translational Behavioral Medicine (1 paper)American Journal of Preventive Medicine (1 paper)Journal of Diabetes Science and Technology (1 paper)PLoS Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Fred Raab
10 papers receiving 1.3k citations
Fred Raab's Hit Papers
Peers
Comparison fields: 5 of 106
- Applied Psychology 240
- General Health Professions 684
- Human-Computer Interaction 168
- Family Practice 17
- Information Systems and Management 55
Countries citing papers authored by Fred Raab
This map shows the geographic impact of Fred Raab'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 Fred Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Raab more than expected).
Fields of papers citing papers by Fred Raab
This network shows the impact of papers produced by Fred Raab. 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 Fred Raab. The network helps show where Fred Raab may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Raab, 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 | A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial Hit paper breakdown → | 2009 | 566 |
| 2 | Health and the Mobile Phone Hit paper breakdown → | 2008 | 377 |
| 3 | 2007 | 224 | |
| 4 | 2013 | 75 | |
| 5 | 2006 | 47 | |
| 6 | 2019 | 30 | |
| 7 | 2013 | 19 | |
| 8 | 2010 | 18 | |
| 9 | 2006 | 11 | |
| 10 | 2015 | 1 |
About Fred Raab
Fred Raab is a scholar working on General Health Professions, Computer Networks and Communications, Molecular Biology, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Software System Performance and Reliability (1 paper), Obesity, Physical Activity, Diet (1 paper), Health Literacy and Information Accessibility (1 paper), Physical Activity and Health (1 paper), Eating Disorders and Behaviors (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Applied Psychology (240 citations), General Health Professions (684 citations), Human-Computer Interaction (168 citations), Family Practice (17 citations) and Information Systems and Management (55 citations). Fred Raab has collaborated with scholars based in United States. Frequent co-authors include Kevin Patrick, William G. Griswold, Gregory J. Norman, Stephen Intille, Lindsay Dillon, Cheryl L. Rock, Marc A. Adams, Timothy Sohn, Chris Tsai and James F. Sallis. Their work appears in journals such as Journal of Medical Internet Research, Translational Behavioral Medicine, American Journal of Preventive Medicine, Journal of Diabetes Science and Technology and PLoS Medicine.
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.