Guy Divita

1.0k total citations
54 papers, 748 citations indexed

About

Guy Divita is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Guy Divita has authored 54 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 30 papers in Molecular Biology and 9 papers in Health Information Management. Recurrent topics in Guy Divita's work include Biomedical Text Mining and Ontologies (30 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (15 papers). Guy Divita is often cited by papers focused on Biomedical Text Mining and Ontologies (30 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (15 papers). Guy Divita collaborates with scholars based in United States, Australia and Austria. Guy Divita's co-authors include Allen C. Browne, Adi V. Gundlapalli, Matthew H. Samore, Qing Zeng‐Treitler, Andrew Redd, Qing Zeng, Alan R. Aronson, Alla Keselman, Tony Tse and Marjorie E. Carter and has published in prestigious journals such as Medical Care, Journal of Medical Internet Research and Gastrointestinal Endoscopy.

In The Last Decade

Guy Divita

53 papers receiving 709 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guy Divita United States 16 409 406 155 132 70 54 748
Margarita Sordo United States 10 336 0.8× 321 0.8× 96 0.6× 171 1.3× 69 1.0× 26 745
Roberto A. Rocha United States 17 264 0.6× 209 0.5× 184 1.2× 293 2.2× 61 0.9× 65 752
Meliha Yetişgen United States 13 206 0.5× 348 0.9× 85 0.5× 119 0.9× 50 0.7× 53 641
Emily Alsentzer United States 9 333 0.8× 827 2.0× 47 0.3× 109 0.8× 58 0.8× 22 1.2k
Lee M. Christensen United States 11 324 0.8× 377 0.9× 59 0.4× 83 0.6× 96 1.4× 18 564
Allen C. Browne United States 18 785 1.9× 802 2.0× 274 1.8× 143 1.1× 29 0.4× 55 1.2k
Leonard DʼAvolio United States 15 149 0.4× 118 0.3× 136 0.9× 90 0.7× 119 1.7× 32 707
William Goossen Netherlands 14 173 0.4× 107 0.3× 258 1.7× 325 2.5× 48 0.7× 50 727
Sandra F. Jones United States 7 122 0.3× 209 0.5× 44 0.3× 71 0.5× 55 0.8× 11 588
James C. McClay United States 12 119 0.3× 87 0.2× 103 0.7× 205 1.6× 41 0.6× 41 555

Countries citing papers authored by Guy Divita

Since Specialization
Citations

This map shows the geographic impact of Guy Divita'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 Guy Divita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Divita more than expected).

Fields of papers citing papers by Guy Divita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Divita. 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 Guy Divita. The network helps show where Guy Divita may publish in the future.

Co-authorship network of co-authors of Guy Divita

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

All Works

20 of 20 papers shown
1.
Divita, Guy, et al.. (2023). Development of an ontology to characterize mental functioning. Disability and Rehabilitation. 46(16). 3739–3748. 2 indexed citations
2.
Workman, T. Elizabeth, Guy Divita, Yijun Shao, & Qing Zeng‐Treitler. (2019). A Proficient Spelling Analysis Method Applied to a Pharmacovigilance Task. Studies in health technology and informatics. 264. 452–456. 2 indexed citations
3.
Gawron, Andrew J., William K. Thompson, Olga V. Patterson, et al.. (2018). 771 A NATIONAL US HEALTHCARE SYSTEM WEB-BASED COLONOSCOPY QUALITY REPORT CARD: ACCURATE, USABLE, AND ROBUST. Gastrointestinal Endoscopy. 87(6). AB114–AB115. 1 indexed citations
4.
Gundlapalli, Adi V., Emily Brignone, Guy Divita, et al.. (2017). Using Structured and Unstructured Data to Refine Estimates of Military Sexual Trauma Status Among US Military Veterans.. PubMed. 238. 128–131. 10 indexed citations
5.
Garvin, Jennifer H., et al.. (2017). An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs. Journal of Medical Systems. 41(2). 32–32. 3 indexed citations
6.
Gundlapalli, Adi V., Guy Divita, Andrew Redd, et al.. (2016). Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing. Journal of Biomedical Informatics. 71. S39–S45. 26 indexed citations
7.
Redd, Andrew, et al.. (2016). A pilot study of a heuristic algorithm for novel template identification from VA electronic medical record text. Journal of Biomedical Informatics. 71. S68–S76. 1 indexed citations
8.
Divita, Guy, et al.. (2015). Exploiting the UMLS Metathesaurus for extracting and categorizing concepts representing signs and symptoms to anatomically related organ systems. Journal of Biomedical Informatics. 58. 19–27. 16 indexed citations
9.
Divita, Guy, Shuying Shen, Marjorie E. Carter, et al.. (2014). Recognizing Questions and Answers in EMR Templates Using Natural Language Processing. Studies in health technology and informatics. 202. 149–52. 8 indexed citations
10.
Gundlapalli, Adi V., Andrew Redd, Guy Divita, et al.. (2013). Validating a strategy for psychosocial phenotyping using a large corpus of clinical text. Journal of the American Medical Informatics Association. 20(e2). e355–e364. 22 indexed citations
11.
Kayaalp, Mehmet, et al.. (2013). The pattern of name tokens in narrative clinical text and a comparison of five systems for redacting them. Journal of the American Medical Informatics Association. 21(3). 423–431. 13 indexed citations
12.
Goryachev, Sergey, Qing Zeng‐Treitler, Catherine Arnott Smith, et al.. (2008). Making primarily professional terms more comprehensible to the lay audience.. PubMed. 956–956. 3 indexed citations
13.
Keselman, Ana, Catherine Arnott Smith, Guy Divita, et al.. (2008). Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?. Journal of the American Medical Informatics Association. 15(4). 496–505. 48 indexed citations
14.
Divita, Guy, et al.. (2007). Automatic Categorization of Google Search Results for Medical Queries Using JDI. 2253. 1 indexed citations
15.
Zeng, Qing, Tony Tse, Guy Divita, et al.. (2007). Term Identification Methods for Consumer Health Vocabulary Development. Journal of Medical Internet Research. 9(1). e4–e4. 52 indexed citations
16.
Divita, Guy, et al.. (2007). A normalized lexical lookup approach to identifying UMLS concepts in free text.. PubMed. 129(Pt 1). 545–9. 11 indexed citations
17.
Browne, Allen C., Guy Divita, Alan R. Aronson, & Alexa T. McCray. (2003). UMLS Language and Vocabulary Tools: AMIA 2003 Open Source Expo. Europe PMC (PubMed Central). 2003. 798. 2 indexed citations
18.
Wilbur, W. John, et al.. (1999). Analysis of biomedical text for chemical names: a comparison of three methods.. PubMed Central. 176–80. 42 indexed citations
19.
Browne, Allen C., et al.. (1998). Modular Text Processing System Based on the SPECIALIST Lexicon and Lexical Tools. PubMed Central. 982–982. 1 indexed citations
20.
McCray, Alexa T., et al.. (1997). Conducting the NLM/AHCPR Large Scale Vocabulary Test: a distributed Internet-based experiment.. PubMed Central. 2 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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