William Hersh

14.3k total citations · 1 hit paper
263 papers, 8.3k citations indexed

About

William Hersh is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, William Hersh has authored 263 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 88 papers in Artificial Intelligence and 75 papers in Health Information Management. Recurrent topics in William Hersh's work include Biomedical Text Mining and Ontologies (104 papers), Electronic Health Records Systems (74 papers) and Health Sciences Research and Education (44 papers). William Hersh is often cited by papers focused on Biomedical Text Mining and Ontologies (104 papers), Electronic Health Records Systems (74 papers) and Health Sciences Research and Education (44 papers). William Hersh collaborates with scholars based in United States, Switzerland and Argentina. William Hersh's co-authors include David H. Hickam, Aaron Cohen, Ellen M. Voorhees, Mark Helfand, Paul Gorman, Elmer V. Bernstam, Andrew Turpin, James J. Cimino, Dale F. Kraemer and Kimberly Peterson and has published in prestigious journals such as Nature, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

William Hersh

254 papers receiving 7.7k citations

Hit Papers

Caveats for the Use of Op... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William Hersh 2.9k 2.7k 2.1k 2.0k 1.2k 263 8.3k
James J. Cimino 3.6k 1.2× 4.5k 1.7× 3.2k 1.5× 1.8k 0.9× 1.2k 1.0× 339 9.4k
Edward H. Shortliffe 4.6k 1.6× 2.3k 0.8× 2.9k 1.4× 956 0.5× 1.6k 1.3× 221 10.7k
George Hripcsak 5.3k 1.8× 5.2k 1.9× 3.9k 1.9× 1.7k 0.8× 1.7k 1.4× 371 17.0k
Clement J. McDonald 2.3k 0.8× 2.2k 0.8× 3.9k 1.9× 2.4k 1.2× 1.9k 1.6× 208 12.3k
Kenneth D. Mandl 1.5k 0.5× 1.2k 0.4× 1.9k 0.9× 2.5k 1.2× 2.5k 2.1× 299 12.9k
Enrico Coiera 1.8k 0.6× 741 0.3× 2.9k 1.4× 3.1k 1.5× 1.6k 1.4× 312 12.3k
Robert A. Greenes 1.4k 0.5× 1.8k 0.7× 2.1k 1.0× 759 0.4× 1.3k 1.1× 191 5.5k
Vimla L. Patel 1.0k 0.4× 936 0.3× 1.8k 0.8× 1.7k 0.8× 2.1k 1.7× 198 8.6k
Adam Wright 1.2k 0.4× 1.4k 0.5× 3.6k 1.7× 1.4k 0.7× 1.2k 1.0× 281 7.8k
J. Marc Overhage 900 0.3× 1.4k 0.5× 4.1k 1.9× 2.3k 1.1× 1.7k 1.5× 168 10.2k

Countries citing papers authored by William Hersh

Since Specialization
Citations

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

Fields of papers citing papers by William Hersh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Hersh

This figure shows the co-authorship network connecting the top 25 collaborators of William Hersh. A scholar is included among the top collaborators of William Hersh 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 William Hersh. William Hersh 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.
Hersh, William, et al.. (2024). Results and implications for generative AI in a large introductory biomedical and health informatics course. npj Digital Medicine. 7(1). 247–247. 7 indexed citations
2.
Hersh, William, et al.. (2022). Clinical study applying machine learning to detect a rare disease: results and lessons learned. JAMIA Open. 5(2). ooac053–ooac053. 9 indexed citations
3.
Maniam, Nivethietha, Benjamin Schnapp, Nicholas Genes, et al.. (2022). A Model Curriculum for an Emergency Medicine Residency Rotation in Clinical Informatics. 7(4). 1 indexed citations
4.
Bedrick, Steven, Aaron Cohen, Yanshan Wang, et al.. (2020). Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task. JAMIA Open. 3(3). 395–404. 5 indexed citations
5.
Eden, Karen, Annette M Totten, Steven Z. Kassakian, et al.. (2016). Barriers and facilitators to exchanging health information: a systematic review. International Journal of Medical Informatics. 88. 44–51. 111 indexed citations
6.
Hersh, William, Annette M Totten, Karen Eden, et al.. (2015). Outcomes From Health Information Exchange: Systematic Review and Future Research Needs. JMIR Medical Informatics. 3(4). e39–e39. 90 indexed citations
7.
Simpson, Matthew, Ellen M. Voorhees, & William Hersh. (2014). Overview of the TREC 2014 Clinical Decision Support Track. Text REtrieval Conference. 45 indexed citations
8.
Steiger, David, et al.. (2013). Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study. BMJ Open. 3(4). e002549–e002549. 48 indexed citations
9.
Borbolla, Damián, Paul Gorman, Guilherme Del Fiol, et al.. (2013). Physicians perceptions of an educational support system integrated into an electronic health record.. PubMed. 186. 125–9. 2 indexed citations
10.
Hersh, William & Adam Wright. (2008). What workforce is needed to implement the health information technology agenda? Analysis from the HIMSS analytics database.. PubMed. 303–7. 35 indexed citations
11.
Jimison, Holly, Paul Gorman, Susan Woods, et al.. (2008). Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved.. PubMed Central. 202 indexed citations
12.
Hersh, William. (2006). Who are the Informaticians?. PubMed Central. 2 indexed citations
13.
Hersh, William, et al.. (2003). Phrases, Boosting, and Query Expansion Using External Knowledge Resources for Genomic Information Retrieval.. Text REtrieval Conference. 503–509. 9 indexed citations
14.
Hersh, William, et al.. (2003). TREC 2004 Genomics Track Overview. Text REtrieval Conference. 14–23. 148 indexed citations
15.
Hersh, William, et al.. (2002). Medical Informatics and Evidence-based Medicine for Physician Assistants: Implementation and Evaluation of a Curriculum. The Journal of Physician Assistant Education. 13(1). 7–10. 6 indexed citations
16.
Hersh, William & Paul Over. (2002). TREC-2001 Interactive Track Report | NIST. 1 indexed citations
17.
Hersh, William, Andrew Turpin, Susan Price, et al.. (1999). Do Batch and User Evaluations Give the Same Results? An Analysis from the TREC-8 Interactive Track.. Text REtrieval Conference. 8 indexed citations
18.
Hersh, William, et al.. (1998). A Large-Scale Comparison of Boolean vs. Natural Language Searching for the TREC-7 Interactive Track.. Text REtrieval Conference. 429–438. 8 indexed citations
19.
Detmer, William M., G. Octo Barnett, & William Hersh. (1997). MedWeaver: Integrating Decision Support, Literature Searching, and Web Exploration using the UMLS Metathesaurus. Journal of the American Medical Informatics Association. 4. 490–494. 22 indexed citations
20.
Hersh, William & David H. Hickam. (1991). A Comparative Analysis of Retrieval Effectiveness for Three Methods of Indexing AIDS-Related Abstracts.. Proceedings of the ASIS Annual Meeting. 28. 1 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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