Mark S. Tuttle
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
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- Ethics in Business and Education
Papers in
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- Biomedical Text Mining and Ontologies 56
- Genetics, Bioinformatics, and Biomedical Research 4
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- Semantic Web and Ontologies 39
- Natural Language Processing Techniques 9
- Co-authors
- Jerry Gravander (1 shared paper)Michael Bommer (1 shared paper)David D. Sherertz (34 shared papers)Mark S. Erlbaum (30 shared papers)Stuart J. Nelson (29 shared papers)N E Olson (27 shared papers)William T. Hole (6 shared papers)Steven H. Brown (12 shared papers)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Diabetes Technology & Therapeutics (2 papers)Methods of Information in Medicine (2 papers)Cancer (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Mark S. Tuttle
81 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Health Information Management 306
- Information Systems and Management 373
- Medical Terminology 10
- Artificial Intelligence 680
- Molecular Biology 896
Countries citing papers authored by Mark S. Tuttle
This map shows the geographic impact of Mark S. Tuttle'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. Tuttle 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. Tuttle more than expected).
Fields of papers citing papers by Mark S. Tuttle
This network shows the impact of papers produced by Mark S. Tuttle. 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. Tuttle. The network helps show where Mark S. Tuttle may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Tuttle, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 403 | |
| 2 | The UMLS Metathesaurus: representing different views of biomedical concepts. | 1993 | 131 |
| 3 | NCI Thesaurus: using science-based terminology to integrate cancer research results. | 2004 | 106 |
| 4 | 2009 | 83 | |
| 5 | 1983 | 78 | |
| 6 | VA National Drug File Reference Terminology: a cross-institutional content coverage study. | 2004 | 68 |
| 7 | Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences. | 2002 | 47 |
| 8 | Desiderata for a clinical terminology server. | 1999 | 47 |
| 9 | 1998 | 45 | |
| 10 | Standardized problem list generation, utilizing the Mayo canonical vocabulary embedded within the Unified Medical Language System. | 1997 | 42 |
| 11 | Adding your terms and relationships to the UMLS Metathesaurus. | 1991 | 29 |
| 12 | 1995 | 28 | |
| 13 | The role of compositionality in standardized problem list generation. | 1998 | 25 |
| 14 | Categorization of free-text problem lists: an effective method of capturing clinical data. | 1995 | 24 |
| 15 | U.S. Department of Veterans Affairs Enterprise Reference Terminology strategic overview. | 2004 | 23 |
| 16 | Secondary use of clinical data. | 2010 | 22 |
| 17 | RECONSIDER: A Program for Generating Differential Diagnoses * | 1981 | 21 |
| 18 | 1983 | 21 | |
| 19 | A "lexically-suggested logical closure" metric for medical terminology maturity. | 1998 | 21 |
| 20 | A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. | 2002 | 20 |
About Mark S. Tuttle
Mark S. Tuttle is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Management and Language and Linguistics, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (56 papers), Semantic Web and Ontologies (39 papers), Electronic Health Records Systems (12 papers), Natural Language Processing Techniques (9 papers), Genomics and Rare Diseases (6 papers), Scientific Computing and Data Management (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and linguistics and terminology studies (4 papers). The work is most often cited by research in Health Information Management (306 citations), Information Systems and Management (373 citations), Medical Terminology (10 citations), Artificial Intelligence (680 citations) and Molecular Biology (896 citations). Mark S. Tuttle has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Jerry Gravander, Michael Bommer, David D. Sherertz, Mark S. Erlbaum, Stuart J. Nelson, N E Olson, William T. Hole, Steven H. Brown, Peter L. Elkin and Christopher G. Chute. Their work appears in journals such as Journal of the American Medical Informatics Association, Diabetes Technology & Therapeutics, Methods of Information in Medicine, Cancer and BMC Bioinformatics.
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.