Fred Raab

9 papers receiving 1.2k citations

Fred Raab's Hit Papers

A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial 2009 · 544 citations
5440+6+12Years since publication100200300400500

Peers

Fred Raab
Comparison fields: 5 of 103
  • Applied Psychology 215
  • General Health Professions 626
  • Human-Computer Interaction 148
  • Family Practice 14
  • Public Health, Environmental and Occupational Health 178
Replace Madhavan Mani with:
Madhavan Mani Australia
Dallas Swendeman United States
Nicol Nijland Netherlands
Monique Tabak Netherlands
Angela Fidler Pfammatter United States
Mark Casselman Canada
Borja Martínez-Pérez Spain
Silje C Wangberg Norway
Bree Holtz United States
Carlos Tavares Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Fred Raab

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fred Raab Line = papers co-authored together Fred Raab links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Hit paper breakdown →
2009544
2
Health and the Mobile Phone
Hit paper breakdown →
2008331
3 2007200
4 201373
5 200636
6 201930
7 201319
8 201012
9 20069

About Fred Raab

Fred Raab is a scholar working on General Health Professions, Molecular Biology, Cardiology and Cardiovascular Medicine, Clinical Psychology and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Obesity, Physical Activity, Diet (1 paper), Health Literacy and Information Accessibility (1 paper), Physical Activity and Health (1 paper), Innovative Human-Technology Interaction (1 paper), Technology Use by Older Adults (1 paper) and Eating Disorders and Behaviors (1 paper). The work is most often cited by research in Applied Psychology (215 citations), General Health Professions (626 citations), Human-Computer Interaction (148 citations), Family Practice (14 citations) and Public Health, Environmental and Occupational Health (178 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, Jennifer Covin and Evelyn P. Davila. Their work appears in journals such as Journal of Medical Internet Research, American Journal of Preventive Medicine, Mobile Networks and Applications, Journal of Diabetes Science and Technology and Translational Behavioral 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.

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