Frank Stearns

1.0k citations
14 papers · 579 indexed · h-index 11
Topics
Healthcare Policy and Management (5 papers)Chronic Disease Management Strategies (5 papers)Emergency and Acute Care Studies (5 papers)

In The Last Decade

Frank Stearns

14 papers receiving 564 citations

Peers

Frank Stearns
Comparison fields: 5 of 98
  • Artificial Intelligence 158
  • Epidemiology 148
  • Health Information Management 117
  • Cardiology and Cardiovascular Medicine 116
  • Emergency Medicine 87
Replace Shiying Hao with:
Shiying Hao United States
Shaun T Alfreds United States
Jennifer H. Garvin United States
Brian W. Patterson United States
Minjie Xia China
Kumiko O. Schnock United States
Modi Liu China
Min‐Jeoung Kang United States
Santiago Romero‐Brufau United States
Le Zheng China
Frank Stearns relative to Shiying Hao United States Shiying Hao's profile →
Citations per field
00.5×1.5×
Shiying Hao · 1×
Citations per year

Countries citing papers authored by Frank Stearns

Since Specialization
Citations

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

Fields of papers citing papers by Frank Stearns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Stearns

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Stearns. A scholar is included among the top collaborators of Frank Stearns 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 Frank Stearns. Frank Stearns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 64
2 58
3 35
4 38
5 171
6 13
7 23
8 19
9 4
10 45
11 3
12 70
13 2
14
Interhospital variations in admission severity-adjusted hospital mortality and morbidity.
34

About Frank Stearns

Frank Stearns is a scholar working on Emergency Medicine, Geriatrics and Gerontology and Epidemiology, having authored 14 papers that have together received 579 indexed citations. Recurring topics across this work include Healthcare Policy and Management (5 papers), Chronic Disease Management Strategies (5 papers) and Emergency and Acute Care Studies (5 papers). The work is most often cited by research in Health Informatics (58 citations), Health Information Management (117 citations) and Emergency Medicine (87 citations). Frank Stearns has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Karl G. Sylvester, Shiying Hao, Xuefeng B. Ling, Eric Widen, Bo Jin, Shaun T Alfreds, Chunqing Zhu, Doff B. McElhinney, Chengyin Ye and Modi Liu. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research and Translational Psychiatry.

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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