Guy Divita

1.0k citations
57 papers · 807 · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 17
    • Topic Modeling 13
    • Semantic Web and Ontologies 6
    • Text Readability and Simplification 3
    • Biomedical Text Mining and Ontologies 24

Guy Divita

54 papers receiving 764 citations

Peers

Guy Divita
Comparison fields: 5 of 82
  • Health Information Management 73
  • Artificial Intelligence 318
  • Health Informatics 11
  • General Health Professions 112
  • Molecular Biology 316
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Guy Divita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Divita Line = papers co-authored together Guy Divita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Towards consumer-friendly PHRs: patients' experience with reviewing their health records.
200774
2 200757
3 200852
4
UMLS language and vocabulary tools.
200349
5
Identifying consumer-friendly display (CFD) names for health concepts.
200548
6
Analysis of biomedical text for chemical names: a comparison of three methods.
199947
7
Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans.
201347
8 200439
9 201626
10
Sophia: A Expedient UMLS Concept Extraction Annotator.
201425
11
Evaluating lexical variant generation to improve information retrieval.
199823
12 201322
13
"Sitting on pins and needles": characterization of symptom descriptions in clinical notes".
201321
14
Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records.
201417
15 201516
16 201315
17 201515
18
Exploring lexical forms: first-generation consumer health vocabularies.
200615
19 201714
20 201613

About Guy Divita

Guy Divita is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Language and Linguistics and General Health Professions, having authored 57 papers that have together received 807 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (24 papers), Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers), Electronic Health Records Systems (6 papers), Semantic Web and Ontologies (6 papers), linguistics and terminology studies (5 papers), Text Readability and Simplification (3 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Health Information Management (73 citations), Artificial Intelligence (318 citations), Health Informatics (11 citations), General Health Professions (112 citations) and Molecular Biology (316 citations). Guy Divita has collaborated with scholars based in United States, Austria and Australia. Frequent 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 Hyeoneui Kim. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Journal of Medical Internet Research, Open Forum Infectious Diseases and Methods of Information in Medicine.

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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