Travis R. Goodwin

743 total citations
42 papers, 428 citations indexed

About

Travis R. Goodwin is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Travis R. Goodwin has authored 42 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 22 papers in Molecular Biology and 6 papers in Health Information Management. Recurrent topics in Travis R. Goodwin's work include Biomedical Text Mining and Ontologies (22 papers), Topic Modeling (18 papers) and Machine Learning in Healthcare (11 papers). Travis R. Goodwin is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Topic Modeling (18 papers) and Machine Learning in Healthcare (11 papers). Travis R. Goodwin collaborates with scholars based in United States, United Kingdom and Canada. Travis R. Goodwin's 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 and has published in prestigious journals such as Journal of the American Medical Informatics Association, Scientific Data and Journal of Biomedical Informatics.

In The Last Decade

Travis R. Goodwin

42 papers receiving 408 citations

Peers

Travis R. Goodwin

MSOR

HIM

IME

Giorgio Leonardi Italy

Oladimeji Farri United States

Wencheng Sun China

Cindy Marling United States

Janice S. Aikins United States

M. Mostafizur Rahman United Kingdom

Heba Mamdouh Farghaly Egypt

Shweta Yadav India

Mengyue Liu China

Martin Hassel Sweden

Giorgio Leonardi Italy

Travis R. Goodwin

187 ×0.7

53 ×0.3

42 ×0.7

MSOR

32 ×0.8

HIM

21 ×0.6

IME

Citations per year, relative to Travis R. Goodwin Travis R. Goodwin (= 1×) peers Giorgio Leonardi

Countries citing papers authored by Travis R. Goodwin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Travis R. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Travis R. Goodwin. A scholar is included among the top collaborators of Travis R. Goodwin 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 Travis R. Goodwin. Travis R. Goodwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goodwin, Travis R., Dina Demner‐Fushman, Kyle Lo, et al.. (2022). Automatic question answering for multiple stakeholders, the epidemic question answering dataset. Scientific Data. 9(1). 432–432. 2 indexed citations

Goodwin, Travis R., Jie Xu, Nurçin Çelik, & Chun‐Hung Chen. (2022). Real-time digital twin-based optimization with predictive simulation learning. Journal of Simulation. 18(1). 47–64. 65 indexed citations

Goodwin, Travis R., et al.. (2020). Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning. PubMed. 2020. 3215–3226. 15 indexed citations

Mrabet, Yassine, Mourad Sarrouti, Asma Ben Abacha, et al.. (2020). NLM at TREC 2020 Health Misinformation and Deep Learning Tracks.. Text REtrieval Conference. 1 indexed citations

Goodwin, Travis R. & Dina Demner‐Fushman. (2020). Enhancing Question Answering by Injecting Ontological Knowledge through Regularization. PubMed. 2020. 56–63. 5 indexed citations

Goodwin, Travis R., et al.. (2020). Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization. PubMed. 2020. 5640–5646. 23 indexed citations

Goodwin, Travis R., et al.. (2019). Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Labels.. Theory and applications of categories. 2 indexed citations

Abacha, Asma Ben, et al.. (2019). Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers. Studies in health technology and informatics. 264. 25–29. 21 indexed citations

Demner‐Fushman, Dina, et al.. (2018). Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track.. Theory and applications of categories. 8 indexed citations

10.

Goodwin, Travis R., Michael A. Skinner, & Sanda M. Harabagiu. (2017). UTD HLTRI at TREC 2017: Precision Medicine Track.. Text REtrieval Conference. 7 indexed citations

11.

Goodwin, Travis R., et al.. (2017). Automatic recognition of symptom severity from psychiatric evaluation records. Journal of Biomedical Informatics. 75. S71–S84. 11 indexed citations

12.

Brocklehurst, Paul, Lynne Williams, Christopher R Burton, Travis R. Goodwin, & Jo Rycroft‐Malone. (2017). Implementation and trial evidence: a plea for fore-thought. BDJ. 222(5). 331–335. 6 indexed citations

13.

Goodwin, Travis R., et al.. (2017). Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification.. PubMed. 2017. 229–238. 8 indexed citations

14.

Goodwin, Travis R. & Sanda M. Harabagiu. (2017). Deep Learning from EEG Reports for Inferring Underspecified Information.. PubMed. 2017. 112–121. 6 indexed citations

15.

Goodwin, Travis R. & Sanda M. Harabagiu. (2016). Medical Question Answering for Clinical Decision Support. PubMed. 2016. 297–306. 47 indexed citations

16.

Goodwin, Travis R. & Sanda M. Harabagiu. (2014). UTD at TREC 2014: Query Expansion for Clinical Decision Support. 17 indexed citations

17.

Goodwin, Travis R., Bryan Rink, Kirk Roberts, & Sanda M. Harabagiu. (2012). UTDHLT: COPACETIC System for Choosing Plausible Alternatives. Joint Conference on Lexical and Computational Semantics. 461–466. 11 indexed citations

18.

Cannon, Mark, et al.. (1968). Proceedings of the Biochemical Society. Biochemical Journal. 108(3). 17P–28P. 1 indexed citations

19.

Whistance, G.R., et al.. (1966). Proceedings of The Biochemical Society. Biochemical Journal. 101(2). 1P–22P. 1 indexed citations

20.

Brown, Eleanor, et al.. (1956). Proceedings of the Biochemical Society. Biochemical Journal. 64(3). 37P–47P. 7 indexed citations

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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