Ryan Runge

1.6k citations
7 papers · 1.0k · 2 hit papers · h-index 6

Impact in

Papers in

Ryan Runge

7 papers receiving 997 citations

Ryan Runge's Hit Papers

Wearables and the Medical Revolution 2018 · 395 citations
3950+3+6Years since publication100200300

Peers

Ryan Runge
Comparison fields: 5 of 130
  • Health Informatics 35
  • Applied Psychology 63
  • Cardiology and Cardiovascular Medicine 180
  • Health Information Management 35
  • Biomedical Engineering 334
Replace Brinnae Bent with:
Brinnae Bent United States
Sophia Miryam Schüssler‐Fiorenza Rose United States
Ane Alberdi Spain
Yi Xie China
Duarte Dias Portugal
Michael H. Li Canada
Françoise A. Marvel United States
Matteo Gadaleta United States
Rossana Castaldo Italy
Zhengbo Zhang China
Ryan Runge relative to Brinnae Bent United States Brinnae Bent's profile →
Citations per field
00.5×1.5×
Brinnae Bent · 1×
Citations per year

Countries citing papers authored by Ryan Runge

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Runge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Wearables and the Medical Revolution
Hit paper breakdown →
2018395
2
Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
Hit paper breakdown →
2017279
3 2021150
4 2019134
5 202055
6 20216
7
Mobile 3D Computer Vision: Introducing a portable system for potato size grading
20143

About Ryan Runge

Ryan Runge is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, General Health Professions, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Heart rate and cardiovascular health (1 paper), Cardiovascular and exercise physiology (1 paper), Potato Plant Research (1 paper), Context-Aware Activity Recognition Systems (1 paper), Mobile Health and mHealth Applications (1 paper) and Smart Agriculture and AI (1 paper). The work is most often cited by research in Health Informatics (35 citations), Applied Psychology (63 citations), Cardiology and Cardiovascular Medicine (180 citations), Health Information Management (35 citations) and Biomedical Engineering (334 citations). Ryan Runge has collaborated with scholars based in United States. Frequent co-authors include Jessilyn Dunn, M Snyder, Xiao Li, Sophia Miryam Schüssler‐Fiorenza Rose, Dalia Perelman, Denis Salins, Somalee Datta, Gao Zhou, Wenyu Zhou and Tracey McLaughlin. Their work appears in journals such as npj Digital Medicine, BMJ Open, Nature Medicine, PLoS Biology and Personalized 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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