Mark S. Erlbaum

576 citations
34 papers · 461 · h-index 12

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 26
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Semantic Web and Ontologies 19
    • Natural Language Processing Techniques 6
    • Advanced Text Analysis Techniques 2
    • Speech and dialogue systems 2

Mark S. Erlbaum

34 papers receiving 421 citations

Peers

Mark S. Erlbaum
Comparison fields: 5 of 56
  • Health Information Management 148
  • Medical Terminology 6
  • Artificial Intelligence 255
  • Issues, ethics and legal aspects 8
  • Family Practice 12
Replace Casey S. Husser with:
Casey S. Husser United States
N E Olson United States
Fred E. Masarie United States
John S. Carter United States
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A M Rassinoux Switzerland
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Citations per year

Countries citing papers authored by Mark S. Erlbaum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark S. Erlbaum Line = papers co-authored together Mark S. Erlbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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.
200468
2
Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences.
200247
3 199845
4
Adding your terms and relationships to the UMLS Metathesaurus.
199129
5
U.S. Department of Veterans Affairs Enterprise Reference Terminology strategic overview.
200423
6
A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF.
200220
7
Implementing Meta-1: The First Version of the UMLS Metathesaurus*.
198920
8
Categorical information in pharmaceutical terminologies.
200619
9 198518
10
From meaning to term: semantic locality in the UMLS Metathesaurus.
199117
11
Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.
200314
12
MEME-II supports the cooperative management of terminology.
199614
13
Using Meta-1-The 1st Version of the UMLS Metathesaurus.
199011
14
Merging terminologies.
199511
15
Intervocabulary Mapping Within the UMLS: The Role of Lexical Matching*
198810
16
Lexical Mapping in the UMLS Metathesaurus
198910
17
The homogenization of the Metathesaurus schema and distribution format.
199210
18
A Preliminary Evaluation of the UMLS Metathesaurus for Patient Record Classification
19908
19
The semantic structure of the UMLS Metathesaurus.
19928
20
Biomedical database inter-connectivity: an experiment linking MIM, GENBANK, and META-1 via MEDLINE.
19918

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 (19 papers), Electronic Health Records Systems (7 papers), Natural Language Processing Techniques (6 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Advanced Text Analysis Techniques (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Health Information Management (148 citations), Medical Terminology (6 citations), Artificial Intelligence (255 citations), Issues, ethics and legal aspects (8 citations) and Family Practice (12 citations). Mark S. Erlbaum has collaborated with scholars based in United States, Vietnam and Germany. Frequent co-authors include Mark S. Tuttle, David D. Sherertz, N E Olson, Stuart J. Nelson, Steven H. Brown, John S. Carter, Peter L. Elkin, Michael Lincoln, S. Trent Rosenbloom and Brent A. Bauer. Their work appears in journals such as Academic Psychiatry, International Journal of Speech Technology, Journal of Medical Systems, Methods of Information in Medicine 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.

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