C Friedman

3.8k total citations · 1 hit paper
43 papers, 2.8k citations indexed

About

C Friedman is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, C Friedman has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Molecular Biology and 6 papers in Health Information Management. Recurrent topics in C Friedman's work include Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (11 papers) and Topic Modeling (9 papers). C Friedman is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (11 papers) and Topic Modeling (9 papers). C Friedman collaborates with scholars based in United States and South Korea. C Friedman's co-authors include George Hripcsak, Stephen B. Johnson, James J. Cimino, Philip O. Alderson, John H. M. Austin, Marianthi Markatou, William DuMouchel, Nilesh Jain, Rave Harpaz and Lyudmila Shagina and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Academic Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

C Friedman

43 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

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.

A General Natural-language Text Processor for Clinical Radiology

1994 578 citations C Friedman, Philip O. Alderson et al. Journal of the American Medical Informatics Association profile →

Author Peers

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

Author						Papers	Cites
C Friedman	1.7k	1.5k	487	453	302	43	2.8k
Marie‐Christine Jaulent	594 0.4×	540 0.4×	283 0.6×	288 0.6×	212 0.7×	175	1.6k
Alan R. Aronson	3.8k 2.3×	3.6k 2.3×	340 0.7×	103 0.2×	240 0.8×	96	4.8k
Christian Reich	575 0.3×	617 0.4×	487 1.0×	303 0.7×	138 0.5×	57	3.0k
Taxiarchis Botsis	412 0.2×	569 0.4×	387 0.8×	246 0.5×	141 0.5×	59	1.9k
Jon Duke	465 0.3×	463 0.3×	490 1.0×	265 0.6×	213 0.7×	52	2.2k
Marcelo Fiszman	1.9k 1.1×	1.7k 1.1×	286 0.6×	60 0.1×	316 1.0×	72	2.6k
Abeed Sarker	746 0.4×	1.4k 0.9×	101 0.2×	633 1.4×	336 1.1×	123	3.0k
Peter Bjødstrup Jensen	817 0.5×	865 0.6×	481 1.0×	114 0.3×	66 0.2×	49	2.7k
Stuart J. Nelson	1.1k 0.7×	780 0.5×	268 0.6×	68 0.2×	239 0.8×	84	2.3k
Guoqian Jiang	714 0.4×	599 0.4×	359 0.7×	91 0.2×	155 0.5×	134	1.6k

Countries citing papers authored by C Friedman

Since Specialization

Citations

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

Fields of papers citing papers by C Friedman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Friedman

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

All Works

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20 of 20 papers shown

Vilar, Santiago, et al.. (2014). Similarity‐Based Modeling Applied to Signal Detection in Pharmacovigilance. CPT Pharmacometrics & Systems Pharmacology. 3(9). 1–9. 16 indexed citations

Harpaz, Rave, William DuMouchel, Nigam H. Shah, et al.. (2012). Novel Data-Mining Methodologies for Adverse Drug Event Discovery and Analysis. Clinical Pharmacology & Therapeutics. 91(6). 1010–1021. 276 indexed citations

Haerian, Krystl, et al.. (2012). Detection of Pharmacovigilance-Related Adverse Events Using Electronic Health Records and Automated Methods. Clinical Pharmacology & Therapeutics. 92(2). 228–234. 93 indexed citations

Harpaz, Rave, Hector R. Perez, Herbert Chase, et al.. (2010). Biclustering of Adverse Drug Events in the FDA's Spontaneous Reporting System. Clinical Pharmacology & Therapeutics. 89(2). 243–250. 57 indexed citations

Hripcsak, George, Nicholas D. Soulakis, Li Li, et al.. (2009). Syndromic Surveillance Using Ambulatory Electronic Health Records. Journal of the American Medical Informatics Association. 16(3). 354–361. 42 indexed citations

Wang, Xiaofang, George Hripcsak, Marianthi Markatou, & C Friedman. (2009). Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study. Journal of the American Medical Informatics Association. 16(3). 328–337. 217 indexed citations

Xu, Hua, Peter D. Stetson, & C Friedman. (2008). Methods for Building Sense Inventories of Abbreviations in Clinical Notes. Journal of the American Medical Informatics Association. 16(1). 103–108. 27 indexed citations

Chen, Elizabeth, George Hripcsak, Hua Xu, Marianthi Markatou, & C Friedman. (2007). Automated Acquisition of Disease-Drug Knowledge from Biomedical and Clinical Documents: An Initial Study. Journal of the American Medical Informatics Association. 15(1). 87–98. 145 indexed citations

Kukafka, Rita, et al.. (2006). Human and Automated Coding of Rehabilitation Discharge Summaries According to the International Classification of Functioning, Disability, and Health. Journal of the American Medical Informatics Association. 13(5). 508–515. 30 indexed citations

10.

Friedman, C, George Hripcsak, Lyudmila Shagina, & Hongliang Liu. (1999). Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language. Journal of the American Medical Informatics Association. 6(1). 76–87. 100 indexed citations

11.

Friedman, C & George Hripcsak. (1999). Natural language processing and its future in medicine. Academic Medicine. 74(8). 890–5. 124 indexed citations

12.

Hripcsak, George, Gilad J. Kuperman, C Friedman, & Daniel F. Heitjan. (1999). A Reliability Study for Evaluating Information Extraction from Radiology Reports. Journal of the American Medical Informatics Association. 6(2). 143–150. 42 indexed citations

13.

Friedman, C, et al.. (1999). Representing genomic knowledge in the UMLS semantic network.. PubMed. 181–5. 32 indexed citations

14.

Friedman, C, Stanley M. Huff, William Hersh, Edward Pattison-Gordon, & James J. Cimino. (1995). The Canon Group's Effort: Working Toward a Merged Model. Journal of the American Medical Informatics Association. 2(1). 4–18. 42 indexed citations

15.

Friedman, C, George Hripcsak, William DuMouchel, Stephen B. Johnson, & Paul D. Clayton. (1995). Natural language processing in an operational clinical information system. Natural Language Engineering. 1(1). 83–108. 83 indexed citations

16.

Friedman, C, James J. Cimino, & Stephen B. Johnson. (1994). A Schema for Representing Medical Language Applied to Clinical Radiology. Journal of the American Medical Informatics Association. 1(3). 233–248. 38 indexed citations

17.

Friedman, C, Philip O. Alderson, John H. M. Austin, James J. Cimino, & Stephen B. Johnson. (1994). A General Natural-language Text Processor for Clinical Radiology. Journal of the American Medical Informatics Association. 1(2). 161–174. 578 indexed citations breakdown →

18.

Cimino, James J., et al.. (1990). UMLS as Knowledge Base-A Rule-Based Expert System Approach to Controlled Medical Vocabulary Management. PubMed Central. 175–179. 10 indexed citations

19.

Lyman, Margaret S., et al.. (1985). A Database of Computer-Structured Narrative: Methods of Computing Complex Relations.. PubMed Central. 221–226. 14 indexed citations

20.

Lyman, Margaret S., et al.. (1985). Computer-Structured Narrative in Ambulatory Care: Its Use in Longitudinal Review of Clinical Data.. PubMed Central. 82–86. 3 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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