Mark S. Erlbaum
Impact in
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- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 26
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- Semantic Web and Ontologies 18
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 2
- Machine Learning in Healthcare 2
- Co-authors
- Mark S. Tuttle (30 shared papers)David D. Sherertz (22 shared papers)Stuart J. Nelson (17 shared papers)Steven H. Brown (6 shared papers)John S. Carter (5 shared papers)Peter L. Elkin (4 shared papers)Michael Lincoln (5 shared papers)S. Trent Rosenbloom (3 shared papers)
- Journals
- Academic Psychiatry (1 paper)Methods of Information in Medicine (1 paper)Journal of Medical Systems (1 paper)International Journal of Speech Technology (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- United StatesGermanyVietnam
In The Last Decade
Mark S. Erlbaum
34 papers receiving 423 citations
Peers
Comparison fields: 5 of 53
- Health Information Management 109
- Medical Terminology 2
- Family Practice 13
- Artificial Intelligence 198
- Molecular Biology 332
Countries citing papers authored by Mark S. Erlbaum
This map shows the geographic impact of Mark S. Erlbaum'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 Mark S. Erlbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Erlbaum more than expected).
Fields of papers citing papers by Mark S. Erlbaum
This network shows the impact of papers produced by Mark S. Erlbaum. 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 Mark S. Erlbaum. The network helps show where Mark S. Erlbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Erlbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VA National Drug File Reference Terminology: a cross-institutional content coverage study. | 2004 | 68 |
| 2 | Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences. | 2002 | 48 |
| 3 | 1998 | 45 | |
| 4 | Adding your terms and relationships to the UMLS Metathesaurus. | 1991 | 29 |
| 5 | U.S. Department of Veterans Affairs Enterprise Reference Terminology strategic overview. | 2004 | 23 |
| 6 | Implementing Meta-1: The First Version of the UMLS Metathesaurus*. | 1989 | 20 |
| 7 | A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. | 2002 | 20 |
| 8 | Categorical information in pharmaceutical terminologies. | 2006 | 19 |
| 9 | 1985 | 18 | |
| 10 | From meaning to term: semantic locality in the UMLS Metathesaurus. | 1991 | 16 |
| 11 | Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications. | 2003 | 14 |
| 12 | MEME-II supports the cooperative management of terminology. | 1996 | 14 |
| 13 | Using Meta-1-The 1st Version of the UMLS Metathesaurus. | 1990 | 11 |
| 14 | Merging terminologies. | 1995 | 11 |
| 15 | Intervocabulary Mapping Within the UMLS: The Role of Lexical Matching* | 1988 | 10 |
| 16 | Lexical Mapping in the UMLS Metathesaurus | 1989 | 10 |
| 17 | The homogenization of the Metathesaurus schema and distribution format. | 1992 | 10 |
| 18 | A Preliminary Evaluation of the UMLS Metathesaurus for Patient Record Classification | 1990 | 8 |
| 19 | Biomedical database inter-connectivity: an experiment linking MIM, GENBANK, and META-1 via MEDLINE. | 1991 | 8 |
| 20 | The semantic structure of the UMLS Metathesaurus. | 1992 | 8 |
About Mark S. Erlbaum
Mark S. Erlbaum is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Language and Linguistics and Family Practice, having authored 34 papers that have together received 461 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Semantic Web and Ontologies (18 papers), Electronic Health Records Systems (6 papers), Natural Language Processing Techniques (6 papers), linguistics and terminology studies (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Advanced Text Analysis Techniques (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Information Management (109 citations), Medical Terminology (2 citations), Family Practice (13 citations), Artificial Intelligence (198 citations) and Molecular Biology (332 citations). Mark S. Erlbaum has collaborated with scholars based in United States, Germany and Vietnam. Frequent co-authors include Mark S. Tuttle, David D. Sherertz, Stuart J. Nelson, Steven H. Brown, John S. Carter, Peter L. Elkin, Michael Lincoln, S. Trent Rosenbloom, Brent A. Bauer and Casey S. Husser. Their work appears in journals such as Academic Psychiatry, Methods of Information in Medicine, Journal of Medical Systems, International Journal of Speech Technology and Studies in health technology and informatics.
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.