Stephen M. Downs

3.3k citations
108 papers · 2.4k indexed · h-index 29

Stephen M. Downs

106 papers receiving 2.4k citations

Peers

Stephen M. Downs
Comparison fields: 5 of 137
  • Health Information Management 367
  • Health 332
  • Speech and Hearing 182
  • Pediatrics, Perinatology and Child Health 509
  • General Health Professions 649
Replace Annette DeVito Dabbs with:
Annette DeVito Dabbs United States
Shelagh A. Mulvaney United States
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Emily Seto Canada
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Henk van Weert Netherlands
Heather Wharrad United Kingdom
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Citations per year

Countries citing papers authored by Stephen M. Downs

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Downs. 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 Stephen M. Downs. The network helps show where Stephen M. Downs may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephen M. Downs, 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 Stephen M. Downs Line = papers co-authored together Stephen M. Downs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202213
3 20215
4 20191
5
Effect of a Computer-Based Decision Support Intervention on Autism Spectrum Disorder Screening in Pediatric Primary Care Clinics: A Cluster Randomized Clinical Trial
20192
6 20191
7 201813
8 201824
9 20164
10 201530
11
Patient-tailored prioritization for a pediatric care decision support system through machine learning
20131
12 201313
13 20128
14 201212
15 2009164
16 200720
17
Using Arden Syntax and adaptive turnaround documents to evaluate clinical guidelines.
200622
18 20064
19 200091
20 199147

About Stephen M. Downs

Stephen M. Downs is a scholar working on Health Information Management, General Health Professions, Health, Speech and Hearing and Pediatrics, Perinatology and Child Health, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Electronic Health Records Systems (26 papers), Child and Adolescent Psychosocial and Emotional Development (18 papers), Mobile Health and mHealth Applications (17 papers), Infant Development and Preterm Care (12 papers), Child and Adolescent Health (10 papers), Adolescent and Pediatric Healthcare (8 papers), Healthcare Systems and Technology (8 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Health Information Management (367 citations), Health (332 citations), Speech and Hearing (182 citations), Pediatrics, Perinatology and Child Health (509 citations) and General Health Professions (649 citations). Stephen M. Downs has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Aaron E. Carroll, Vibha Anand, Nerissa S. Bauer, Paul Biondich, Tamara M. Dugan, Alex R. Kemper, Gregory D. Zimet, Amy Gilbert, Marc B. Rosenman and David G. Marrero. Their work appears in journals such as PEDIATRICS, Academic Pediatrics, The Journal of Pediatrics, Journal of Developmental & Behavioral Pediatrics and Journal of the American Medical Informatics Association.

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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