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

A General Natural-language Text Processor for Clinical Ra... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers

C Friedman
Comparison fields: 5 of 117
  • Molecular Biology 1.7k
  • Artificial Intelligence 1.5k
  • Health Information Management 487
  • Toxicology 453
  • Computational Theory and Mathematics 302
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Marie‐Christine Jaulent France View profile →
Citations per field, relative to C Friedman
C Friedman · 1×
Citations per year, relative to C Friedman
C Friedman · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 16
2 276
3 93
4 57
5 42
6 217
7 27
8 145
9 30
10
Automating SNOMED coding using medical language understanding: a feasibility study.
43
11 124
12 42
13 42
14
Architectural requirements for a multipurpose natural language processor in the clinical environment.
54
15 83
16
A General Natural-language Text Processor for Clinical Radiology breakdown →
578
17 38
18
UMLS as Knowledge Base-A Rule-Based Expert System Approach to Controlled Medical Vocabulary Management
10
19
Computer-Structured Narrative in Ambulatory Care: Its Use in Longitudinal Review of Clinical Data.
3
20
A Database of Computer-Structured Narrative: Methods of Computing Complex Relations.
14

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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