Forrest L. Levin

603 total citations
22 papers, 463 citations indexed

About

Forrest L. Levin is a scholar working on Epidemiology, Hepatology and Health Information Management. According to data from OpenAlex, Forrest L. Levin has authored 22 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Hepatology and 5 papers in Health Information Management. Recurrent topics in Forrest L. Levin's work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers) and Electronic Health Records Systems (4 papers). Forrest L. Levin is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers) and Electronic Health Records Systems (4 papers). Forrest L. Levin collaborates with scholars based in United States, Australia and Germany. Forrest L. Levin's co-authors include Joseph Erdos, D. Cornwall, Donna Vogel, Amy C. Justice, Joseph L. Goulet, Cynthia Brandt, Steven M. Wright, Robert A. Rosenheck, Roland S. Chen and Prakash M. Nadkarni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Forrest L. Levin

20 papers receiving 442 citations

Peers

Forrest L. Levin
Janice L. Clarke United States
Reesa Laws United States
Derk L. Arts Netherlands
Bill G. Felkey United States
Scott M. Strayer United States
Linda Foster United States
Jennifer L. Pecina United States
Christopher K. Snider United States
Leah Haverhals United States
Andrew Redd United States
Janice L. Clarke United States
Forrest L. Levin
Citations per year, relative to Forrest L. Levin Forrest L. Levin (= 1×) peers Janice L. Clarke

Countries citing papers authored by Forrest L. Levin

Since Specialization
Citations

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

Fields of papers citing papers by Forrest L. Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Forrest L. Levin. 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 Forrest L. Levin. The network helps show where Forrest L. Levin may publish in the future.

Co-authorship network of co-authors of Forrest L. Levin

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

All Works

20 of 20 papers shown
1.
Akers, Scott, Yuankai Huo, James G. Terry, et al.. (2023). Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology and Drug Safety. 32(10). 1121–1130.
2.
McManus, Kimberly F., Samah Fodeh, Forrest L. Levin, et al.. (2023). Deploying a national clinical text processing infrastructure. Journal of the American Medical Informatics Association. 31(3). 727–731. 4 indexed citations
3.
Mezzacappa, Catherine, Lin Shen, Rajni Mehta, et al.. (2022). Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool. SHILAP Revista de lepidopterología. 1(8). e0000080–e0000080. 2 indexed citations
4.
Akgün, Kathleen M., Cynthia Brandt, Brenda T. Fenton, et al.. (2018). Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer. JCO Clinical Cancer Informatics. 2(2). 1–7. 16 indexed citations
5.
Edmond, Sara N., Brent A. Moore, Lindsey Dorflinger, et al.. (2018). Project STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management. Pain Medicine. 19(suppl_1). S30–S37. 20 indexed citations
6.
Rajeevan, Nallakkandi, Peter Charpentier, Forrest L. Levin, et al.. (2017). Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. BMC Medical Informatics and Decision Making. 17(1). 111–111. 17 indexed citations
7.
Do, Albert, Janet P. Tate, Basile Njei, et al.. (2017). Weight Change After Receipt of Direct-Acting Antiviral Agents for Hepatitis C. Gastroenterology. 152(5). S1163–S1163. 1 indexed citations
8.
Sarkar, Souvik, Denise Esserman, Melissa Skanderson, et al.. (2016). Disparities in hepatitis C testing in U.S. veterans born 1945–1965. Journal of Hepatology. 65(2). 259–265. 17 indexed citations
9.
Sarkar, Souvik, Denise Esserman, Forrest L. Levin, Amy C. Justice, & Joseph K. Lim. (2015). 807 Variability of Hepatitis C Screening in Birth Age Cohort U.S. Veterans Born 1945-1965: National Analysis of 4.2 Million Veterans 2000-2013. Gastroenterology. 148(4). S–997. 1 indexed citations
10.
Chaiyachati, Krisda H., Kirsha S. Gordon, Theodore Long, et al.. (2014). Continuity in a VA Patient-Centered Medical Home Reduces Emergency Department Visits. PLoS ONE. 9(5). e96356–e96356. 30 indexed citations
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Tsevat, Joel, Amy C. Justice, Joseph Mrus, et al.. (2009). Development of an Electronic Medical Record-Based Clinical Decision Support Tool to Improve HIV Symptom Management. AIDS Patient Care and STDs. 23(7). 521–529. 13 indexed citations
14.
McGinnis, Kathleen A., Melissa Skanderson, Forrest L. Levin, et al.. (2008). Comparison of Two VA Laboratory Data Repositories Indicates That Missing Data Vary Despite Originating From the Same Source. Medical Care. 47(1). 121–124. 15 indexed citations
15.
Federman, Daniel G., Kirsha S. Gordon, Joseph L. Goulet, et al.. (2008). Does Clinical Inertia Vary According to Provider Type?. PubMed. 25(11). 21–27.
16.
Goulet, Joseph L., et al.. (2006). Measuring Performance Directly Using the Veterans Health Administration Electronic Medical Record. Medical Care. 45(1). 73–79. 58 indexed citations
17.
Vogel, Donna, et al.. (2004). Home Telehealth Reduces Healthcare Costs. Telemedicine Journal and e-Health. 10(2). 170–183. 201 indexed citations
18.
Bühler, Martin, Louis L. Whitcomb, Forrest L. Levin, & Daniel E. Koditschek. (2003). A new distributed real-time controller for robotics applications. ScholarlyCommons (University of Pennsylvania). 63–69. 1 indexed citations
19.
Chen, Roland S., et al.. (2000). Using a Computer Database to Monitor Compliance With Pharmacotherapeutic Guidelines for Schizophrenia. Psychiatric Services. 51(6). 791–794. 36 indexed citations
20.
Bühler, Martin, Louis L. Whitcomb, Forrest L. Levin, & Daniel E. Koditschek. (1989). A Distributed Message Passing Computational and I/O Engine for Real-Time Motion Control. ScholarlyCommons (University of Pennsylvania). 478–483. 4 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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