Devore S Culver

670 citations
10 papers · 352 · h-index 6

Impact in

Papers in

Devore S Culver

10 papers receiving 345 citations

Peers

Devore S Culver
Comparison fields: 5 of 77
  • Health Informatics 33
  • Health Information Management 88
  • Emergency Medicine 67
  • Cardiology and Cardiovascular Medicine 96
  • Artificial Intelligence 109
Replace Shaun T Alfreds with:
Shaun T Alfreds United States
Shu-Xia Li United States
James McNicholas United Kingdom
Markus Lingman Sweden
Elliot G. Arsoniadis United States
Jarrod Frizzell United States
Robert Thombley United States
Elizabeth Lindemann United States
Brian L. Lawson United States
Heather Gardner United States
Devore S Culver relative to Shaun T Alfreds United States Shaun T Alfreds's profile →
Citations per field
00.5×1.5×
Shaun T Alfreds · 1×
Citations per year

Countries citing papers authored by Devore S Culver

Since Specialization
Citations

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

Fields of papers citing papers by Devore S Culver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devore S Culver. 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 Devore S Culver. The network helps show where Devore S Culver may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018171
2 201470
3 201545
4 201623
5 201519
6 201713
7 20154
8 20153
9 19932
10 19942

About Devore S Culver

Devore S Culver is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, General Health Professions, Emergency Medicine and Economics and Econometrics, having authored 10 papers that have together received 352 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (4 papers), Emergency and Acute Care Studies (3 papers), Healthcare Policy and Management (3 papers), Blood Pressure and Hypertension Studies (2 papers), Surgical site infection prevention (2 papers), Primary Care and Health Outcomes (2 papers), Healthcare Systems and Technology (2 papers) and Cardiovascular Health and Risk Factors (1 paper). The work is most often cited by research in Health Informatics (33 citations), Health Information Management (88 citations), Emergency Medicine (67 citations), Cardiology and Cardiovascular Medicine (96 citations) and Artificial Intelligence (109 citations). Devore S Culver has collaborated with scholars based in United States and China. Frequent co-authors include Shaun T Alfreds, Karl G. Sylvester, Eric Widen, Shiying Hao, Xuefeng B. Ling, Bo Jin, Chunqing Zhu, Frank Stearns, Zhongkai Hu and Qian Wu. Their work appears in journals such as Journal of Medical Internet Research, American Journal of Infection Control, PLoS ONE, BMC Emergency Medicine and JMIR Medical Informatics.

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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