Peter L. Elkin

4.7k total citations · 1 hit paper
159 papers, 3.0k citations indexed

About

Peter L. Elkin is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Peter L. Elkin has authored 159 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 43 papers in Artificial Intelligence and 40 papers in Health Information Management. Recurrent topics in Peter L. Elkin's work include Biomedical Text Mining and Ontologies (53 papers), Electronic Health Records Systems (34 papers) and Semantic Web and Ontologies (29 papers). Peter L. Elkin is often cited by papers focused on Biomedical Text Mining and Ontologies (53 papers), Electronic Health Records Systems (34 papers) and Semantic Web and Ontologies (29 papers). Peter L. Elkin collaborates with scholars based in United States, Denmark and Vietnam. Peter L. Elkin's co-authors include Steven H. Brown, Dietlind L. Wahner‐Roedler, Brent A. Bauer, Theodore Speroff, S. Trent Rosenbloom, Casey S. Husser, Michael E. Matheny, Fern FitzHenry, Harvey J. Murff and Laura L. Loehrer and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Peter L. Elkin

152 papers receiving 2.8k citations

Hit Papers

Automated Identification of Postoperative Complications W... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter L. Elkin United States 26 1.0k 814 792 394 394 159 3.0k
Elmer V. Bernstam United States 29 897 0.9× 714 0.9× 696 0.9× 896 2.3× 554 1.4× 139 3.7k
Li Zhou United States 34 541 0.5× 558 0.7× 842 1.1× 389 1.0× 364 0.9× 172 3.4k
Jyotishman Pathak United States 40 1.3k 1.3× 905 1.1× 1.8k 2.3× 443 1.1× 625 1.6× 232 5.6k
Serguei Pakhomov United States 28 1.4k 1.4× 357 0.4× 1.6k 2.1× 167 0.4× 235 0.6× 135 3.6k
Guilherme Del Fiol United States 30 635 0.6× 921 1.1× 708 0.9× 816 2.1× 495 1.3× 202 3.2k
Ida Sim United States 35 1.0k 1.0× 1.2k 1.4× 790 1.0× 963 2.4× 917 2.3× 112 4.9k
John H. Holmes United States 41 975 0.9× 381 0.5× 432 0.5× 775 2.0× 842 2.1× 158 6.3k
Qing Zeng United States 28 1.2k 1.2× 618 0.8× 866 1.1× 331 0.8× 417 1.1× 96 2.5k
Lucia Sacchi Italy 26 587 0.6× 455 0.6× 593 0.7× 112 0.3× 259 0.7× 129 2.5k
Harold P. Lehmann United States 30 567 0.6× 759 0.9× 572 0.7× 645 1.6× 611 1.6× 214 5.2k

Countries citing papers authored by Peter L. Elkin

Since Specialization
Citations

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

Fields of papers citing papers by Peter L. Elkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter L. Elkin

This figure shows the co-authorship network connecting the top 25 collaborators of Peter L. Elkin. A scholar is included among the top collaborators of Peter L. Elkin 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 Peter L. Elkin. Peter L. Elkin 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.
Farinelli, Franco, Maurício Barcellos Almeida, Peter L. Elkin, & Barry Smith. (2025). OntONeo: The Obstetric and Neonatal Ontology. PhilPapers (PhilPapers Foundation).
2.
Lu, Chi‐Hua, Zackary Falls, Walter Gibson, et al.. (2024). High-risk use of prescription opioids among patients treated for alcohol problems in New York State. A repeated cross-sectional study, 2005–2018. SHILAP Revista de lepidopterología. 12. 100278–100278. 1 indexed citations
3.
Falls, Zackary, et al.. (2024). The implications of APOBEC3-mediated C-to-U RNA editing for human disease. Communications Biology. 7(1). 529–529. 3 indexed citations
4.
Resnick, Melissa, et al.. (2024). ACORN SDOH survey: Terminological representation for use with NLP and CDS. Journal of Clinical and Translational Science. 8(1). e39–e39. 1 indexed citations
6.
Falls, Zackary, et al.. (2020). Association of C>U RNA Editing with Human Disease Variants. Studies in health technology and informatics. 270. 1205–1206. 1 indexed citations
7.
Elkin, Peter L., et al.. (2020). Rosacea Patients Are at Higher Risk for Obstructive Sleep Apnea: Automated Retrospective Research. Studies in health technology and informatics. 270. 1381–1382. 3 indexed citations
8.
Elkin, Peter L., et al.. (2019). Can Solo Practitioners Survive in Value-Based Healthcare? Validating a Predicative Model for ED Utilization. Studies in health technology and informatics. 264. 1682–1683. 1 indexed citations
9.
Nøhr, Christian, Craig Kuziemsky, Peter L. Elkin, Romaric Marcilly, & Sylvia Pelayo. (2019). Sustainable Health Informatics: Health Informaticians as Alchemists. Studies in health technology and informatics. 265. 3–11. 5 indexed citations
10.
Ball, Marion J., Célia Boyer, Peter L. Elkin, et al.. (2011). Hospital and Health Information Systems – Current Perspectives. Yearbook of Medical Informatics. 20(1). 73–82. 3 indexed citations
11.
Brown, Steven H., Theodore Speroff, Elliot M. Fielstein, et al.. (2006). eQuality: Electronic Quality Assessment From Narrative Clinical Reports. Mayo Clinic Proceedings. 81(11). 1472–1481. 28 indexed citations
12.
Ceusters, Werner, Peter L. Elkin, & Barry Smith. (2006). Referent tracking: the problem of negative findings.. PhilPapers (PhilPapers Foundation). 124. 741–6. 17 indexed citations
13.
Elkin, Peter L., Steven H. Brown, Casey S. Husser, et al.. (2006). Evaluation of the Content Coverage of SNOMED CT: Ability of SNOMED Clinical Terms to Represent Clinical Problem Lists. Mayo Clinic Proceedings. 81(6). 741–748. 145 indexed citations
14.
Elkin, Peter L., Steven H. Brown, & C. G. Chute. (2001). Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators.. PubMed. 84(Pt 1). 191–5. 8 indexed citations
15.
Elkin, Peter L., et al.. (2001). Expression of a domain ontology model in unified modeling language for the World Health Organization International classification of impairment, disability, and handicap, version 2.. PubMed. 573–7. 5 indexed citations
16.
Campbell, James R. & Peter L. Elkin. (1999). Human Interfaces: Face-to-Face with the Problem List. PubMed Central. 1204–1204. 5 indexed citations
17.
Elkin, Peter L., et al.. (1998). The role of compositionality in standardized problem list generation.. PubMed. 52 Pt 1. 660–4. 25 indexed citations
18.
Campbell, Keith E., et al.. (1997). Supporting Postcoordination in an Electronic Problem List. Europe PMC (PubMed Central). 4. 955–955. 2 indexed citations
19.
Barnett, GO, et al.. (1990). DXplain-Important Issues in the Development of a Computer-Based Decision Support System.. PubMed Central. 1013–1013. 2 indexed citations
20.
Rubenstein, Laurence Z., et al.. (1975). Determinants of the choice of rural practice: a study of Yugoslav general practitioners.. PubMed. 50(6). 615–23. 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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