George Hripcsak

29.6k total citations · 6 hit papers
371 papers, 17.0k citations indexed

About

George Hripcsak is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, George Hripcsak has authored 371 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 120 papers in Artificial Intelligence and 99 papers in Health Information Management. Recurrent topics in George Hripcsak's work include Biomedical Text Mining and Ontologies (115 papers), Electronic Health Records Systems (89 papers) and Semantic Web and Ontologies (50 papers). George Hripcsak is often cited by papers focused on Biomedical Text Mining and Ontologies (115 papers), Electronic Health Records Systems (89 papers) and Semantic Web and Ontologies (50 papers). George Hripcsak collaborates with scholars based in United States, South Korea and Spain. George Hripcsak's 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 Marianthi Markatou and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

George Hripcsak

360 papers receiving 16.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19

2020 1.1k citations George Hripcsak et al. profile →
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

2015 749 citations George Hripcsak, Jon Duke et al. profile →
Agreement, the F-Measure, and Reliability in Information Retrieval

2005 651 citations George Hripcsak Journal of the American Medical Informatics Association profile →
Next-generation phenotyping of electronic health records

2012 478 citations George Hripcsak, David J. Albers Journal of the American Medical Informatics Association profile →
Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

2013 398 citations George Hripcsak et al. profile →
Design lessons from the fastest q&a site in the west

2011 390 citations Lena Mamykina, George Hripcsak et al. profile →

Peers

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-authorship network of co-authors of George Hripcsak

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model 2024 ·Computers in Biology and Medicine ·Deepak K. Agrawal, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers	2
2	Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program 2024 ·Journal of the American Medical Informatics Association ·(unknown), (unknown), (unknown), Chun Yee Lau, (unknown), George Hripcsak, (unknown), Karthik Natarajan	0
3	OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization 2024 ·Journal of the American Medical Informatics Association ·Christian Reich, Anna Ostropolets, Patrick Ryan, Peter Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak	42
4	Polygenic risk alters the penetrance of monogenic kidney disease 2023 ·Nature Communications ·Atlas Khan, Ning Shang, Jordan G. Nestor, Chunhua Weng, George Hripcsak, Peter C. Harris, Ali G. Gharavi, Krzysztof Kiryluk	23
5	Polygenic Risk Affects the Penetrance of Monogenic Kidney Disease 2023 ·Journal of the American Society of Nephrology ·Atlas Khan, Ning Shang, Jordan G. Nestor, Chunhua Weng, George Hripcsak, Peter C. Harris, Ali G. Gharavi, Krzysztof Kiryluk, (unknown)	0
6	Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data 2023 ·Journal of Biomedical Informatics ·David J. Albers, (unknown), Matthew E. Levine, Jan Claassen, Caroline Der‐Nigoghossian, George Hripcsak	3
7	A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation 2023 ·Journal of Biomedical Informatics ·(unknown), (unknown), George Hripcsak, Cecilia C. Low Wang, Tellen D. Bennett, Julia Wrobel, Caroline Der‐Nigoghossian, Scott W. Mueller, Jan Claassen, David J. Albers	3
8	Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes 2023 ·Journal of Biomedical Informatics ·(unknown), Martijn J. Schuemie, Marc A. Suchard, Patrick Ryan, George Hripcsak, Charles A. Rohde, Yong Chen	1
9	Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network 2023 ·JAMIA Open ·Rupa Makadia, Azza Shoaibi, Gowtham Rao, Anna Ostropolets, Peter R. Rijnbeek, Erica A. Voss, Talita Duarte‐Salles, Juan Manuel Ramírez‐Anguita, Miguel Ángel Mayer, (unknown), Spiros Denaxas, Fredrik Nyberg, Václav Papež, Anthony G. Sena, Thamir M. Alshammari, Lana Yin Hui Lai, (unknown), Marc A. Suchard, George Hripcsak, Patrick Ryan	1
10	Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies 2022 ·BMJ Open ·Rohan Khera, Martijn J. Schuemie, Yuan Lu, Anna Ostropolets, Ruijun Chen, George Hripcsak, Patrick Ryan, Harlan M. Krumholz, Marc A. Suchard	13
11	Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study 2021 ·Hypertension ·Ruijun Chen, Marc A. Suchard, Harlan M. Krumholz, Martijn J. Schuemie, Steven Shea, Jon Duke, Nicole Pratt, Christian Reich, David Madigan, Seng Chan You, Patrick Ryan, George Hripcsak	104
12	Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients 2021 ·Hypertension ·Seng Chan You, Harlan M. Krumholz, Marc A. Suchard, Martijn J. Schuemie, George Hripcsak, Ruijun Chen, Steven Shea, Jon Duke, Nicole Pratt, Christian Reich, David Madigan, Patrick Ryan, Rae Woong Park, Sungha Park	19
13	Outlier concepts auditing methodology for a large family of biomedical ontologies 2020 ·BMC Medical Informatics and Decision Making ·(unknown), Hua Min, Yan Chen, Vipina K. Keloth, James Geller, Yehoshua Perl, George Hripcsak	2
14	Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network 2020 ·Journal of the American Medical Informatics Association ·Mehr Kashyap, Martin Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah	20
15	Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data 2018 ·Proceedings of the National Academy of Sciences ·Martijn J. Schuemie, George Hripcsak, Patrick Ryan, David Madigan, Marc A. Suchard	85
16	Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data 2017 ·Journal of Biomedical Informatics ·Lena Mamykina, Elizabeth Heitkemper, Arlene Smaldone, Rita Kukafka, Heather Cole-Lewis, (unknown), Elizabeth D. Mynatt, Andrea Cassells, Jonathan N. Tobin, George Hripcsak	57
17	Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records 2015 ·Drug Safety ·Juan M. Banda, Alison Callahan, Rainer Winnenburg, Howard R. Strasberg, Aurel Cami, Ben Y. Reis, Santiago Vilar, George Hripcsak, Michel Dumontier, Nigam H. Shah	29
18	Interim Results of a Randomized Controlled Trial on Inpatient Engagement. 2015 ·AMIA ·Jennifer E. Prey, (unknown), Min Qian, Susan Restaino, Suzanne Bakken, Steven Feiner, Rebecca Schnall, George Hripcsak, (unknown), David K. Vawdrey	1
19	Similarity‐Based Modeling Applied to Signal Detection in Pharmacovigilance 2014 ·CPT Pharmacometrics & Systems Pharmacology ·Santiago Vilar, (unknown), David Madigan, (unknown), (unknown), C Friedman, Nicholas P. Tatonetti, George Hripcsak	16
20	The Estimation of Posterior Probabilities Using Neural Networks. 1988 ·PubMed Central ·George Hripcsak	4

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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