H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 67 Citations 15,798 227 World Ranking 991 National Ranking 586

Research.com Recognitions

Awards & Achievements

2012 - Member of the National Academy of Medicine (NAM)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Internal medicine

The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Health informatics, Information retrieval and Data science. His Artificial intelligence study combines topics from a wide range of disciplines, such as Event, Predictive value, Event reporting and Confidence interval. His Natural language processing research is multidisciplinary, incorporating elements of Event type, Clinical information and Coding.

His Health informatics study combines topics in areas such as Decision support system, Clinical trial, Cohort and Knowledge management. His Information retrieval research includes themes of Gold standard, Data warehouse, Completeness and MEDLINE. His studies deal with areas such as Domain, Health Administration Informatics, World Wide Web and Observational Studies as Topic as well as Data science.

His most cited work include:

  • Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19. (887 citations)
  • Agreement, the F-Measure, and Reliability in Information Retrieval (521 citations)
  • Next-generation phenotyping of electronic health records (443 citations)

What are the main themes of his work throughout his whole career to date?

George Hripcsak mainly investigates Artificial intelligence, Observational study, Data science, Natural language processing and MEDLINE. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Vocabulary, Data mining and Process. George Hripcsak performs integrative Observational study and Informatics research in his work.

His Natural language processing research is multidisciplinary, incorporating perspectives in Terminology and Information retrieval.

He most often published in these fields:

  • Artificial intelligence (17.94%)
  • Observational study (16.73%)
  • Data science (11.49%)

What were the highlights of his more recent work (between 2017-2021)?

  • Observational study (16.73%)
  • Internal medicine (13.91%)
  • Cohort study (9.07%)

In recent papers he was focusing on the following fields of study:

Observational study, Internal medicine, Cohort study, MEDLINE and Cohort are his primary areas of study. George Hripcsak combines subjects such as Machine learning, Scale, Database and Artificial intelligence with his study of Observational study. His work deals with themes such as Vocabulary, Set and Natural language processing, which intersect with Artificial intelligence.

His Cohort study study incorporates themes from Kidney disease, Hydroxychloroquine, Adverse effect, Rheumatoid arthritis and Veterans Affairs. The MEDLINE study combines topics in areas such as Electronic health record, Coronavirus disease 2019, Emergency medicine and Comorbidity. George Hripcsak has researched Cohort in several fields, including Odds ratio, Breast cancer and Retrospective cohort study.

Between 2017 and 2021, his most popular works were:

  • Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19. (887 citations)
  • Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. (255 citations)
  • Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis. (79 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Internal medicine

His primary areas of study are Observational study, Internal medicine, Cohort study, MEDLINE and Hazard ratio. His studies in Observational study integrate themes in fields like Machine learning, Database, Healthcare Cost and Utilization Project, Artificial intelligence and Data quality. The study incorporates disciplines such as Consistency, Reliability and Process in addition to Artificial intelligence.

His biological study spans a wide range of topics, including Hydroxychloroquine, Adverse effect, Retrospective cohort study, Rheumatoid arthritis and Veterans Affairs. George Hripcsak has included themes like SNOMED CT, Source data, Natural language processing, Emergency medicine and Coronavirus disease 2019 in his MEDLINE study. His Data science research integrates issues from Precision medicine, Health informatics and Data sharing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19.

Joshua Geleris;Yifei Sun;Jonathan Platt;Jason Zucker.
The New England Journal of Medicine (2020)

1228 Citations

Agreement, the F-Measure, and Reliability in Information Retrieval

George Hripcsak;Adam S. Rothschild.
Journal of the American Medical Informatics Association (2005)

707 Citations

Next-generation phenotyping of electronic health records

George Hripcsak;David J Albers.
Journal of the American Medical Informatics Association (2013)

596 Citations

Detecting adverse events using information technology.

David W. Bates;R. Scott Evans;Harvey J. Murff;Peter D. Stetson.
Journal of the American Medical Informatics Association (2003)

593 Citations

Automated encoding of clinical documents based on natural language processing.

Carol Friedman;Lyudmila Shagina;Yves A. Lussier;George Hripcsak.
Journal of the American Medical Informatics Association (2004)

582 Citations

Design lessons from the fastest q&a site in the west

Lena Mamykina;Bella Manoim;Manas Mittal;George Hripcsak.
human factors in computing systems (2011)

580 Citations

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

George Hripcsak;Jon D. Duke;Nigam H. Shah;Christian G. Reich.
Studies in health technology and informatics (2015)

529 Citations

Knowledge-based approaches to the maintenance of a large controlled medical terminology.

James J. Cimino;Paul D. Clayton;George Hripcsak;Stephen B. Johnson.
Journal of the American Medical Informatics Association (1994)

443 Citations

Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

George Hripcsak;Carol Friedman;Philip O. Alderson;William DuMouchel.
Annals of Internal Medicine (1995)

435 Citations

Caveats for the use of operational electronic health record data in comparative effectiveness research.

William R. Hersh;Mark G. Weiner;Peter J. Embi;Judith R. Logan.
Medical Care (2013)

415 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing George Hripcsak

Joshua C. Denny

Joshua C. Denny

Vanderbilt University Medical Center

Publications: 93

James J. Cimino

James J. Cimino

University of Alabama at Birmingham

Publications: 91

Carol Friedman

Carol Friedman

Columbia University

Publications: 81

David W. Bates

David W. Bates

Brigham and Women's Hospital

Publications: 70

Hua Xu

Hua Xu

The University of Texas Health Science Center at Houston

Publications: 68

Yehoshua Perl

Yehoshua Perl

New Jersey Institute of Technology

Publications: 65

Hongfang Liu

Hongfang Liu

Mayo Clinic

Publications: 51

Ruth S. Weinstock

Ruth S. Weinstock

SUNY Upstate Medical University

Publications: 51

Guergana Savova

Guergana Savova

Harvard University

Publications: 48

Adam Wright

Adam Wright

Vanderbilt University Medical Center

Publications: 47

Christopher G. Chute

Christopher G. Chute

Johns Hopkins University

Publications: 46

Wendy W. Chapman

Wendy W. Chapman

University of Melbourne

Publications: 45

Nigam H. Shah

Nigam H. Shah

Stanford University

Publications: 43

Noémie Elhadad

Noémie Elhadad

Columbia University

Publications: 43

Steven Shea

Steven Shea

Oregon Health & Science University

Publications: 42

Something went wrong. Please try again later.