George Hripcsak

366 papers receiving 16.6k citations

George Hripcsak's Hit Papers

OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization 2024 · 53 citations
530+7+14Years since publication2505007501000

Peers

George Hripcsak
Comparison fields: 5 of 209
  • Health Information Management 2.8k
  • Health Informatics 310
  • Toxicology 701
  • Issues, ethics and legal aspects 160
  • Artificial Intelligence 4.0k
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Citations per year

Countries citing papers authored by George Hripcsak

Since Specialization
Citations

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

Fields of papers citing papers by George Hripcsak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside George Hripcsak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George Hripcsak Line = papers co-authored together George Hripcsak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 374 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19
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20201108
2
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers
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2015759
3
Agreement, the F-Measure, and Reliability in Information Retrieval
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2005659
4
Next-generation phenotyping of electronic health records
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2012486
5
Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research
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2013409
6
Design lessons from the fastest q&a site in the west
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2011399
7 2004398
8 2003361
9 1995265
10 2003256
11
Defining and measuring completeness of electronic health records for secondary use
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2013255
12 1994244
13 2005234
14 2009220
15 2019217
16 2013204
17 2016203
18 1994202
19 2014201
20 2002178

About George Hripcsak

George Hripcsak is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Epidemiology and General Health Professions, having authored 374 papers that have together received 17.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (99 papers), Electronic Health Records Systems (73 papers), Semantic Web and Ontologies (40 papers), Machine Learning in Healthcare (28 papers), Topic Modeling (24 papers), Pharmacovigilance and Adverse Drug Reactions (16 papers), Computational Drug Discovery Methods (15 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Health Information Management (2.8k citations), Health Informatics (310 citations), Toxicology (701 citations), Issues, ethics and legal aspects (160 citations) and Artificial Intelligence (4.0k citations). George Hripcsak has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include David J. Albers, Carol Friedman, C Friedman, James J. Cimino, Paul D. Clayton, Patrick Ryan, Stephen B. Johnson, Genevieve B. Melton, Chunhua Weng and Martijn J. Schuemie. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Applied Clinical Informatics, Computers in Biology and Medicine and Methods of Information in Medicine.

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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