Steven H. Brown
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Health Information Management top 0.1%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Peter L. ElkinS. Trent RosenbloomDietlind L. Wahner‐RoedlerTheodore SperoffBrent A. BauerMichael E. MathenyCasey S. HusserFern FitzHenry
- Topics
- Biomedical Text Mining and Ontologies (45 papers)Semantic Web and Ontologies (24 papers)Electronic Health Records Systems (24 papers)
- Partner nations
- United StatesVietnamAustralia
In The Last Decade
Steven H. Brown
93 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 926
- Artificial Intelligence 750
- Health Information Management 664
- Public Health, Environmental and Occupational Health 259
- Epidemiology 206
Countries citing papers authored by Steven H. Brown
This map shows the geographic impact of Steven H. Brown'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 Steven H. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven H. Brown more than expected).
Fields of papers citing papers by Steven H. Brown
This network shows the impact of papers produced by Steven H. Brown. 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 Steven H. Brown. The network helps show where Steven H. Brown may publish in the future.
Co-authorship network of co-authors of Steven H. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Steven H. Brown. A scholar is included among the top collaborators of Steven H. Brown 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 Steven H. Brown. Steven H. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processingbreakdown → | 346 |
| 8 | 28 | |
| 9 | 38 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 28 | |
| 13 | 145 | |
| 14 | 153 | |
| 15 | 102 | |
| 16 | A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. | 20 |
| 17 | 12 | |
| 18 | Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators. | 8 |
| 19 | The Creation and Use of a Reference Terminology for Inter-agency Computer-based Patient Records: The GCPR RTM Demonstration Project | 1 |
| 20 | Development of a Structured Problem-List Management System at Vanderbilt | 6 |
About Steven H. Brown
Steven H. Brown is a scholar working on Medical Terminology, Health Information Management and Chemical Health and Safety, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (45 papers), Semantic Web and Ontologies (24 papers) and Electronic Health Records Systems (24 papers). The work is most often cited by research in Health Information Management (664 citations), Medical Terminology (24 citations) and Health Informatics (103 citations). Steven H. Brown has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Peter L. Elkin, S. Trent Rosenbloom, Dietlind L. Wahner‐Roedler, Theodore Speroff, Brent A. Bauer, Michael E. Matheny, Casey S. Husser, Fern FitzHenry, Kevin B. Johnson and Harvey J. Murff. Their work appears in journals such as JAMA, Annals of Internal Medicine and Journal of Applied Psychology.
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.