Kevin Padrez

1.5k citations
15 papers · 982 · 1 hit paper · h-index 12

Impact in

Papers in

Kevin Padrez

14 papers receiving 961 citations

Kevin Padrez's Hit Papers

Twitter as a Tool for Health Research: A Systematic Review 2016 · 456 citations
4560+3+6Years since publication100200300400

Peers

Kevin Padrez
Comparison fields: 5 of 128
  • Health 230
  • Applied Psychology 70
  • Communication 76
  • Emergency Medicine 104
  • General Health Professions 213
Replace Lucien JLPG Engelen with:
Lucien JLPG Engelen Netherlands
Fidelia Cascini Italy
Juan Espinoza United States
Allison Ottenbacher United States
Sheng‐Hsuan Lin Taiwan
Stephen M. Downs United States
Richard N Bradley United States
Brita Roy United States
Sunmoo Yoon United States
Vera Nincic Canada
Kevin Padrez relative to Lucien JLPG Engelen Netherlands Lucien JLPG Engelen's profile →
Citations per field
00.5×2.7×
Lucien JLPG Engelen · 1×
Citations per year

Countries citing papers authored by Kevin Padrez

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Padrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Twitter as a Tool for Health Research: A Systematic Review
Hit paper breakdown →
2016456
2 2014106
3 201382
4 201967
5 200859
6 201652
7 201551
8
Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers
201437
9 201723
10 201418
11 201517
12 202112
13 20151
14 20141
15 20230

About Kevin Padrez

Kevin Padrez is a scholar working on General Health Professions, Health, Surgery, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 15 papers that have together received 982 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (5 papers), Social Media in Health Education (5 papers), Mental Health via Writing (2 papers), Emergency and Acute Care Studies (2 papers), Ultrasound in Clinical Applications (2 papers), Focus Groups and Qualitative Methods (2 papers), Trauma and Emergency Care Studies (1 paper) and Occupational Health and Performance (1 paper). The work is most often cited by research in Health (230 citations), Applied Psychology (70 citations), Communication (76 citations), Emergency Medicine (104 citations) and General Health Professions (213 citations). Kevin Padrez has collaborated with scholars based in United States. Frequent co-authors include Raina M. Merchant, Alison M. Buttenheim, Christina Mancheno, Lauren Sinnenberg, Lyle Ungar, Lyle Ungar, Judy A. Shea, Judd E. Hollander, Brendan G. Carr and Anthony G. Doufas. Their work appears in journals such as American Journal of Public Health, Annals of Emergency Medicine, PLoS ONE, BMJ Quality & Safety and Emergency Medicine Journal.

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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