Fredric Raab

611 total citations
8 papers, 436 citations indexed

About

Fredric Raab is a scholar working on General Health Professions, Infectious Diseases and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fredric Raab has authored 8 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 2 papers in Infectious Diseases and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fredric Raab's work include Mobile Health and mHealth Applications (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Pneumonia and Respiratory Infections (2 papers). Fredric Raab is often cited by papers focused on Mobile Health and mHealth Applications (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Pneumonia and Respiratory Infections (2 papers). Fredric Raab collaborates with scholars based in United States. Fredric Raab's co-authors include Kevin Patrick, Simon J. Marshall, William G. Griswold, Thomas N. Robinson, Anjali Gupta, Jacqueline Kerr, Jeannie S. Huang, Barry Demchak, James H. Fowler and B. J. Fogg and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Emerging infectious diseases and The Lancet Diabetes & Endocrinology.

In The Last Decade

Fredric Raab

8 papers receiving 425 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fredric Raab United States	6	175	131	88	78	77	8	436
Jacob Khuri United States	6	187 1.1×	124 0.9×	69 0.8×	33 0.4×	40 0.5×	7	490
Sharyn Lymer Australia	12	214 1.2×	130 1.0×	32 0.4×	75 1.0×	44 0.6×	30	457
Elizabeth D. Nesoff United States	11	133 0.8×	108 0.8×	45 0.5×	19 0.2×	27 0.4×	29	414
Kien Gia To Vietnam	12	93 0.5×	85 0.6×	18 0.2×	29 0.4×	88 1.1×	38	403
Beverly A. Garcia United States	17	228 1.3×	242 1.8×	18 0.2×	27 0.3×	90 1.2×	30	523
Catherine Tong Canada	12	219 1.3×	63 0.5×	31 0.4×	12 0.2×	36 0.5×	37	440
Monika Oedekoven Germany	7	240 1.4×	59 0.5×	7 0.1×	78 1.0×	37 0.5×	9	380
Latifa Baynouna AlKetbi United Arab Emirates	13	68 0.4×	113 0.9×	9 0.1×	11 0.1×	95 1.2×	40	461
Hassan Okati‐Aliabad Iran	10	55 0.3×	91 0.7×	8 0.1×	17 0.2×	40 0.5×	40	351
Yang Wha Kang South Korea	5	114 0.7×	63 0.5×	12 0.1×	12 0.2×	44 0.6×	7	314

Countries citing papers authored by Fredric Raab

Since Specialization

Citations

This map shows the geographic impact of Fredric 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 Fredric Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredric Raab more than expected).

Fields of papers citing papers by Fredric Raab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredric 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 Fredric Raab. The network helps show where Fredric Raab may publish in the future.

Co-authorship network of co-authors of Fredric Raab

This figure shows the co-authorship network connecting the top 25 collaborators of Fredric Raab. A scholar is included among the top collaborators of Fredric Raab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fredric Raab. Fredric Raab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Garfein, Richard S., Lin Liu, Javier Cepeda, et al.. (2024). Asynchronous Video Directly Observed Therapy to Monitor Short-Course Latent Tuberculosis Infection Treatment: Results of a Randomized Controlled Trial. Open Forum Infectious Diseases. 11(4). ofae180–ofae180. 1 indexed citations

Garfein, Richard S., Lin Liu, Jazmine Cuevas-Mota, et al.. (2018). Tuberculosis Treatment Monitoring by Video Directly Observed Therapy in 5 Health Districts, California, USA. Emerging infectious diseases. 24(10). 1806–1815. 61 indexed citations

Godino, Job, Gina Merchant, Gregory J. Norman, et al.. (2016). Using social and mobile tools for weight loss in overweight and obese young adults (Project SMART): a 2 year, parallel-group, randomised, controlled trial. The Lancet Diabetes & Endocrinology. 4(9). 747–755. 112 indexed citations

Gupta, Anjali, Karen J. Calfas, Simon J. Marshall, et al.. (2015). Clinical trial management of participant recruitment, enrollment, engagement, and retention in the SMART study using a Marketing and Information Technology (MARKIT) model. Contemporary Clinical Trials. 42. 185–195. 49 indexed citations

Carlson, Jordan, Marta M. Jankowska, Suneeta Godbole, et al.. (2014). Validity of PALMS GPS Scoring of Active and Passive Travel Compared with SenseCam. Medicine & Science in Sports & Exercise. 47(3). 662–667. 103 indexed citations

Patrick, Kevin, Simon J. Marshall, Enrique Davila, et al.. (2013). Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART). Contemporary Clinical Trials. 37(1). 10–18. 85 indexed citations

Katsis, Yannis, Chaitanya Baru, Sanjoy Dasgupta, et al.. (2013). DELPHI: Data E-platform for personalized population health. 7281. 115–119. 3 indexed citations

Demchak, Barry, Jacqueline Kerr, Fredric Raab, Kevin Patrick, & Ingolf H. Krüger. (2012). PALMS: A Modern Coevolution of Community and Computing Using Policy Driven Development. 2735–2744. 22 indexed citations

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.

Explore authors with similar magnitude of impact