Travis R. Goodwin
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Topic Modeling 18
- Machine Learning in Healthcare 11
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 5
- Semantic Web and Ontologies 5
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- Electronic Health Records Systems 4
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- Biomedical Text Mining and Ontologies 22
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- Genomics and Rare Diseases 2
- Co-authors
- Sanda M. HarabagiuDina Demner‐FushmanChun‐Hung ChenNurçin ÇelikJie XuMichael A. SkinnerKirk RobertsBryan Rink
- Journals
- Journal of the American Medical Informatics Association (1 paper)Scientific Data (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Travis R. Goodwin
42 papers receiving 408 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 26
- Artificial Intelligence 281
- Health Information Management 40
- Issues, ethics and legal aspects 7
- Management Science and Operations Research 57
Countries citing papers authored by Travis R. Goodwin
This map shows the geographic impact of Travis R. Goodwin'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 Travis R. Goodwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis R. Goodwin more than expected).
Fields of papers citing papers by Travis R. Goodwin
This network shows the impact of papers produced by Travis R. Goodwin. 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 Travis R. Goodwin. The network helps show where Travis R. Goodwin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Travis R. Goodwin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2022 | 65 | |
| 3 | 2020 | 15 | |
| 4 | NLM at TREC 2020 Health Misinformation and Deep Learning Tracks. | 2020 | 1 |
| 5 | 2020 | 5 | |
| 6 | 2020 | 23 | |
| 7 | Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Labels. | 2019 | 2 |
| 8 | 2019 | 21 | |
| 9 | Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. | 2018 | 8 |
| 10 | UTD HLTRI at TREC 2017: Precision Medicine Track. | 2017 | 7 |
| 11 | 2017 | 11 | |
| 12 | 2017 | 6 | |
| 13 | Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification. | 2017 | 8 |
| 14 | Deep Learning from EEG Reports for Inferring Underspecified Information. | 2017 | 6 |
| 15 | 2016 | 47 | |
| 16 | UTD at TREC 2014: Query Expansion for Clinical Decision Support | 2014 | 17 |
| 17 | UTDHLT: COPACETIC System for Choosing Plausible Alternatives | 2012 | 11 |
| 18 | 1968 | 1 | |
| 19 | 1966 | 1 | |
| 20 | 1956 | 7 |
About Travis R. Goodwin
Travis R. Goodwin is a scholar working on Health Information Management, Artificial Intelligence and Issues, ethics and legal aspects, having authored 42 papers that have together received 428 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Topic Modeling (18 papers), Machine Learning in Healthcare (11 papers), Natural Language Processing Techniques (10 papers), Advanced Text Analysis Techniques (5 papers), Semantic Web and Ontologies (5 papers), Electronic Health Records Systems (4 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Health Informatics (26 citations), Artificial Intelligence (281 citations) and Health Information Management (40 citations). Travis R. Goodwin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sanda M. Harabagiu, Dina Demner‐Fushman, Chun‐Hung Chen, Nurçin Çelik, Jie Xu, Michael A. Skinner, Kirk Roberts, Bryan Rink, Yassine Mrabet and Asma Ben Abacha. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Data and Journal of Biomedical 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.