Leonard DʼAvolio

1.2k total citations
32 papers, 707 citations indexed

About

Leonard DʼAvolio is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Leonard DʼAvolio has authored 32 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Health Information Management and 7 papers in Artificial Intelligence. Recurrent topics in Leonard DʼAvolio's work include Biomedical Text Mining and Ontologies (7 papers), Electronic Health Records Systems (5 papers) and Topic Modeling (3 papers). Leonard DʼAvolio is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Electronic Health Records Systems (5 papers) and Topic Modeling (3 papers). Leonard DʼAvolio collaborates with scholars based in United States, Sweden and Italy. Leonard DʼAvolio's co-authors include Louis D. Fiore, Wildon Farwell, Elizabeth Lawler, J. Michael Gaziano, Richard E. Scranton, Brian Shiner, Bradley V. Watts, Sergey Goryachev, Rani A. Desai and Paula P. Schnurr and has published in prestigious journals such as JAMA, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Leonard DʼAvolio

31 papers receiving 687 citations

Peers

Leonard DʼAvolio

GHP

EPIDE

Fernanda Polubriaginof United States

Ryan W. Woods United States

Tiffany J. Callahan United States

Neeraja B. Peterson United States

Min‐Huei Hsu Taiwan

Olga V. Patterson United States

Bilal A. Mateen United Kingdom

Danielle L. Mowery United States

Alan Bauck United States

Fernanda Polubriaginof United States

Leonard DʼAvolio

139 ×0.9

143 ×1.1

GHP

59 ×0.5

56 ×0.5

EPIDE

166 ×1.4

Citations per year, relative to Leonard DʼAvolio Leonard DʼAvolio (= 1×) peers Fernanda Polubriaginof

Countries citing papers authored by Leonard DʼAvolio

Since Specialization

Citations

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

Fields of papers citing papers by Leonard DʼAvolio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard DʼAvolio

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

All Works

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20 of 20 papers shown

Williams, David D., Diana Ferro, Susana R. Patton, et al.. (2023). An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study. JMIR Diabetes. 8. e47592–e47592. 8 indexed citations

Williams, David D., Jonathan Bass, Susana R. Patton, et al.. (2020). 1303-P: Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Postdiagnosis with Type 1 Diabetes (T1D). Diabetes. 69(Supplement_1). 2 indexed citations

Dodgion, Christopher, Stuart R. Lipsitz, Yue-Yung Hu, et al.. (2016). Institutional variation in surgical care for early-stage breast cancer at community hospitals. Journal of Surgical Research. 211. 196–205. 3 indexed citations

Brennan, Caitlin W., et al.. (2016). Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm. Journal of Nursing Measurement. 24(3). 419–427. 1 indexed citations

Cai, Xuemei, Ali Razmara, Jessica K. Paulus, et al.. (2014). Case Misclassification in Studies of Spinal Manipulation and Arterial Dissection. Journal of Stroke and Cerebrovascular Diseases. 23(8). 2031–2035. 9 indexed citations

Strymish, Judith, et al.. (2012). Natural Language Processing to Identify Foley Catheter–Days. Infection Control and Hospital Epidemiology. 33(12). 1270–1272. 4 indexed citations

DʼAvolio, Leonard, Ryan Ferguson, Sergey Goryachev, et al.. (2012). Implementation of the Department of Veterans Affairs' first point-of-care clinical trial. Journal of the American Medical Informatics Association. 19(e1). e170–e176. 46 indexed citations

Hou, Jason K., Thien Huu Nguyen, Jennifer R. Kramer, et al.. (2012). Automated Identification of Surveillance Colonoscopy in Inflammatory Bowel Disease Using Natural Language Processing. Digestive Diseases and Sciences. 58(4). 936–941. 31 indexed citations

Shiner, Brian, Leonard DʼAvolio, Yinong Young‐Xu, et al.. (2012). Measuring Use of Evidence Based Psychotherapy for Posttraumatic Stress Disorder. Administration and Policy in Mental Health and Mental Health Services Research. 40(4). 311–318. 111 indexed citations

10.

Fiore, Louis D. & Leonard DʼAvolio. (2011). Detours on the Road to Personalized Medicine. JAMA. 306(17). 1914–1914. 14 indexed citations

11.

Farwell, Wildon, Leonard DʼAvolio, Richard E. Scranton, Elizabeth Lawler, & J. Michael Gaziano. (2011). Statins and Prostate Cancer Diagnosis and Grade in a Veterans Population. JNCI Journal of the National Cancer Institute. 103(11). 885–892. 83 indexed citations

12.

Farwell, Wildon, et al.. (2011). The association between height and prostate cancer grade in the Early Stage Prostate Cancer Cohort Study. Cancer Causes & Control. 22(10). 1453–1459. 3 indexed citations

13.

Shiner, Brian, et al.. (2011). Automated classification of psychotherapy note text: implications for quality assessment in PTSD care. Journal of Evaluation in Clinical Practice. 18(3). 698–701. 27 indexed citations

14.

DʼAvolio, Leonard, et al.. (2011). Automated concept-level information extraction to reduce the need for custom software and rules development. Journal of the American Medical Informatics Association. 18(5). 607–613. 42 indexed citations

15.

DʼAvolio, Leonard, Wildon Farwell, & Louis D. Fiore. (2010). Comparative Effectiveness Research and Medical Informatics. The American Journal of Medicine. 123(12). e32–e37. 28 indexed citations

16.

DʼAvolio, Leonard, Tham Nguyen, Wildon Farwell, et al.. (2010). Evaluation of a generalizable approach to clinical information retrieval using the automated retrieval console (ARC). Journal of the American Medical Informatics Association. 17(4). 375–382. 59 indexed citations

17.

DʼAvolio, Leonard, Thien Huu Nguyen, & Louis D. Fiore. (2010). The automated retrieval console (ARC). 469–473. 2 indexed citations

18.

DʼAvolio, Leonard. (2009). Electronic Medical Records at a Crossroads. JAMA. 302(10). 1109–1109. 25 indexed citations

19.

DʼAvolio, Leonard, Mark S. Litwin, Scott O. Rogers, & Alex Bui. (2008). Facilitating Clinical Outcomes Assessment through the Automated Identification of Quality Measures for Prostate Cancer Surgery. Journal of the American Medical Informatics Association. 15(3). 341–348. 16 indexed citations

20.

DʼAvolio, Leonard, Mark S. Litwin, Selwyn O. Rogers, & Alex Bui. (2007). Automatic identification and classification of surgical margin status from pathology reports following prostate cancer surgery.. PubMed. 160–4. 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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