Frank Stearns

1.0k total citations
14 papers, 579 citations indexed

About

Frank Stearns is a scholar working on Epidemiology, Emergency Medicine and Economics and Econometrics. According to data from OpenAlex, Frank Stearns has authored 14 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Emergency Medicine and 5 papers in Economics and Econometrics. Recurrent topics in Frank Stearns's work include Healthcare Policy and Management (5 papers), Chronic Disease Management Strategies (5 papers) and Emergency and Acute Care Studies (5 papers). Frank Stearns is often cited by papers focused on Healthcare Policy and Management (5 papers), Chronic Disease Management Strategies (5 papers) and Emergency and Acute Care Studies (5 papers). Frank Stearns collaborates with scholars based in United States, China and Germany. Frank Stearns's 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 and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Translational Psychiatry.

In The Last Decade

Frank Stearns

14 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Stearns United States 11 158 148 117 116 87 14 579
Shaun T Alfreds United States 8 134 0.8× 117 0.8× 101 0.9× 103 0.9× 67 0.8× 12 455
Shiying Hao United States 15 167 1.1× 194 1.3× 119 1.0× 137 1.2× 102 1.2× 43 774
Devore S Culver United States 6 109 0.7× 99 0.7× 88 0.8× 96 0.8× 67 0.8× 10 352
Santiago Romero‐Brufau United States 16 168 1.1× 291 2.0× 89 0.8× 77 0.7× 173 2.0× 39 817
Fern FitzHenry United States 10 159 1.0× 91 0.6× 188 1.6× 84 0.7× 25 0.3× 24 685
Matthew Phelan United States 14 96 0.6× 202 1.4× 53 0.5× 248 2.1× 51 0.6× 28 689
Luis Ahumada United States 15 94 0.6× 88 0.6× 126 1.1× 169 1.5× 57 0.7× 50 729
Cathy A. Eastwood Canada 15 59 0.4× 164 1.1× 129 1.1× 174 1.5× 56 0.6× 56 677
Jennifer H. Garvin United States 14 177 1.1× 71 0.5× 108 0.9× 73 0.6× 31 0.4× 58 592
Andrew Redd United States 16 142 0.9× 106 0.7× 73 0.6× 57 0.5× 93 1.1× 50 658

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
1.
Ye, Chengyin, Jinmei Li, Shiying Hao, et al.. (2020). Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm. International Journal of Medical Informatics. 137. 104105–104105. 64 indexed citations
2.
Zheng, Le, Oliver Wang, Shiying Hao, et al.. (2020). Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Translational Psychiatry. 10(1). 72–72. 58 indexed citations
3.
Zhang, Yan, Shiying Hao, Le Zheng, et al.. (2019). Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine. Journal of Medical Internet Research. 21(5). e13260–e13260. 35 indexed citations
4.
Ye, Chengyin, Oliver Wang, Modi Liu, et al.. (2019). A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data. Journal of Medical Internet Research. 21(7). e13719–e13719. 38 indexed citations
5.
Ye, Chengyin, Tianyun Fu, Shiying Hao, et al.. (2018). Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. Journal of Medical Internet Research. 20(1). e22–e22. 171 indexed citations
6.
Hao, Shiying, Tianyun Fu, Qian Wu, et al.. (2017). Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine. JMIR Medical Informatics. 5(3). e21–e21. 13 indexed citations
7.
Jin, Bo, Yifan Zhao, Shiying Hao, et al.. (2016). Prospective stratification of patients at risk for emergency department revisit: resource utilization and population management strategy implications. BMC Emergency Medicine. 16(1). 10–10. 23 indexed citations
8.
Hu, Zhongkai, Shiying Hao, Bo Jin, et al.. (2015). Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study. Journal of Medical Internet Research. 17(9). e219–e219. 19 indexed citations
9.
Zheng, Le, Yue Wang, Shiying Hao, et al.. (2015). Risk prediction of stroke: A prospective statewide study on patients in Maine. 853–855. 4 indexed citations
10.
Hao, Shiying, Yue Wang, Bo Jin, et al.. (2015). Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange. PLoS ONE. 10(10). e0140271–e0140271. 45 indexed citations
11.
Hao, Shiying, Karl G. Sylvester, Xuefeng B. Ling, et al.. (2015). Risk prediction for future 6-month healthcare resource utilization in Maine. 863–866. 3 indexed citations
12.
Hao, Shiying, Bo Jin, Andrew Y. Shin, et al.. (2014). Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study. PLoS ONE. 9(11). e112944–e112944. 70 indexed citations
13.
Golec, Joseph H., et al.. (1993). Comparing Surgical Efficiency in Independent Practice Association HMOS and Traditional Insurance Programs. Health Services Management Research. 6(2). 99–108. 2 indexed citations
14.
Stearns, Frank, et al.. (1991). Interhospital variations in admission severity-adjusted hospital mortality and morbidity.. PubMed. 26(4). 407–24. 34 indexed citations

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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