David Cronkite

767 total citations
25 papers, 405 citations indexed

About

David Cronkite is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and General Health Professions. According to data from OpenAlex, David Cronkite has authored 25 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 6 papers in Epidemiology and 5 papers in General Health Professions. Recurrent topics in David Cronkite's work include Opioid Use Disorder Treatment (7 papers), Prenatal Substance Exposure Effects (4 papers) and Substance Abuse Treatment and Outcomes (4 papers). David Cronkite is often cited by papers focused on Opioid Use Disorder Treatment (7 papers), Prenatal Substance Exposure Effects (4 papers) and Substance Abuse Treatment and Outcomes (4 papers). David Cronkite collaborates with scholars based in United States, Germany and Netherlands. David Cronkite's co-authors include David Carrell, Elizabeth T. Masters, Kathleen Saunders, Timothy R. Hylan, Michael Von Korff, Jack Mardekian, Sean D. Donevan, Diana S.M. Buist, Karen J. Wernli and Hongyuan Gao and has published in prestigious journals such as American Journal of Epidemiology, Pain and American Journal of Obstetrics and Gynecology.

In The Last Decade

David Cronkite

22 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Cronkite United States	11	192	103	92	56	55	25	405
Marie‐Noëlle Beyens France	11	123 0.6×	48 0.5×	15 0.2×	9 0.2×	56 1.0×	27	507
Anthony Lin United States	7	67 0.3×	93 0.9×	99 1.1×	5 0.1×	59 1.1×	16	433
Brihat Sharma United States	12	120 0.6×	83 0.8×	103 1.1×	19 0.3×	13 0.2×	21	313
Joseph Couto United States	8	172 0.9×	46 0.4×	7 0.1×	130 2.3×	42 0.8×	15	462
Juan M. Hincapie‐Castillo United States	14	163 0.8×	93 0.9×	6 0.1×	74 1.3×	75 1.4×	50	477
Susan E. Spratt United States	12	78 0.4×	100 1.0×	33 0.4×	20 0.4×	9 0.2×	31	399
James L. Huang United States	6	163 0.8×	111 1.1×	50 0.5×	40 0.7×	10 0.2×	13	288
Thérèse Sheppard United Kingdom	7	113 0.6×	20 0.2×	13 0.1×	73 1.3×	29 0.5×	9	260
David J. Lewis Switzerland	12	98 0.5×	32 0.3×	16 0.2×	12 0.2×	63 1.1×	45	523
Wenyu Song United States	10	44 0.2×	43 0.4×	28 0.3×	21 0.4×	12 0.2×	28	264

Countries citing papers authored by David Cronkite

Since Specialization

Citations

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

Fields of papers citing papers by David Cronkite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cronkite

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Christ, Jacob, Onchee Yu, Renate Schulze‐Rath, et al.. (2024). Risk Factors for Incident Polycystic Ovary Syndrome Diagnosis. Journal of Women s Health. 33(7). 879–886. 1 indexed citations

Kroenke, Candyce H., Rhonda Aoki, David Cronkite, et al.. (2024). Development and validation of a natural language processing algorithm using electronic health record data to identify patients with breast cancer with low social support.. JCO Oncology Practice. 20(10_suppl). 421–421.

Cronkite, David, Ann E. Kelley, Andrea H. Kline‐Simon, et al.. (2024). Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning. The Permanente Journal. 28(3). 23–36.

Berry, Andrew, Catherine Lim, Andrea L. Hartzler, et al.. (2023). “You Can See the Connections”: Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions. 1–17. 15 indexed citations

Smith, Joshua, Brian D. Williamson, David Cronkite, et al.. (2023). Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. Journal of the American Medical Informatics Association. 31(3). 574–582. 4 indexed citations

Yu, Onchee, Jacob Christ, Renate Schulze‐Rath, et al.. (2023). Incidence, prevalence, and trends in polycystic ovary syndrome diagnosis: a United States population-based study from 2006 to 2019. American Journal of Obstetrics and Gynecology. 229(1). 39.e1–39.e12. 31 indexed citations

Negriff, Sonya, Frances L. Lynch, David Cronkite, Roy Pardee, & Robert B. Penfold. (2023). Using natural language processing to identify child maltreatment in health systems. Child Abuse & Neglect. 138. 106090–106090. 6 indexed citations

Penfold, Robert B., David Carrell, David Cronkite, et al.. (2022). Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. BMC Medical Informatics and Decision Making. 22(1). 129–129. 16 indexed citations

Carrell, David, Susan Gruber, James S. Floyd, et al.. (2022). Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning. American Journal of Epidemiology. 192(2). 283–295. 14 indexed citations

10.

Matson, Theresa E., David Carrell, Jennifer F. Bobb, et al.. (2021). Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington State. JAMA Network Open. 4(5). e219375–e219375. 24 indexed citations

11.

Segal, Courtney, et al.. (2021). Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups.. PubMed. 2021. 1069–1078. 2 indexed citations

12.

Sullivan, Mark D., Denise M. Boudreau, Laura Ichikawa, et al.. (2020). Primary Care Opioid Taper Plans Are Associated with Sustained Opioid Dose Reduction. Journal of General Internal Medicine. 35(3). 687–695. 10 indexed citations

13.

Carrell, David, David Cronkite, Steve Nyemba, et al.. (2019). The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight. Journal of the American Medical Informatics Association. 26(12). 1536–1544. 8 indexed citations

14.

Masters, Elizabeth T., Arvind Ramaprasan, Jack Mardekian, et al.. (2018). Natural Language Processing–Identified Problem Opioid Use and Its Associated Health Care Costs. Journal of Pain & Palliative Care Pharmacotherapy. 32(2-3). 106–115. 8 indexed citations

15.

Masters, Elizabeth T., Jack Mardekian, Arvind Ramaprasan, et al.. (2016). Natural Language Processing-Identified Problem Opioid Use And Its Associated Health Care Costs. Value in Health. 19(3). A4–A4. 4 indexed citations

16.

Cronkite, David, Bradley Malin, John Aberdeen, Lynette Hirschman, & David Carrell. (2016). Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification. Methods of Information in Medicine. 55(4). 356–364. 13 indexed citations

17.

Hylan, Timothy R., Michael Von Korff, Kathleen Saunders, et al.. (2015). Automated Prediction of Risk for Problem Opioid Use in a Primary Care Setting. Journal of Pain. 16(4). 380–387. 56 indexed citations

18.

Bowles, Erin J. Aiello, David Cronkite, Karen J. Wernli, et al.. (2015). Validation of natural language processing to extract breast cancer pathology procedures and results. Journal of Pathology Informatics. 6(1). 38–38. 28 indexed citations

19.

Carrell, David, David Cronkite, Kathleen Saunders, et al.. (2015). The prevalence of problem opioid use in patients receiving chronic opioid therapy. Pain. 156(7). 1208–1214. 48 indexed citations

20.

Carrell, David, David Cronkite, Kathleen Saunders, et al.. (2015). Using natural language processing to identify problem usage of prescription opioids. International Journal of Medical Informatics. 84(12). 1057–1064. 88 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.

Explore authors with similar magnitude of impact