Andrew Redd

49 papers receiving 683 citations

Peers

Andrew Redd
Comparison fields: 5 of 102
  • Health Informatics 22
  • Health Information Management 35
  • Issues, ethics and legal aspects 8
  • General Health Professions 158
  • Nephrology 36
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Countries citing papers authored by Andrew Redd

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Redd, 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 Andrew Redd Line = papers co-authored together Andrew Redd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201453
3
Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans.
201347
4 201636
5 201831
6 201626
7 201725
8 201724
9
Automated Extraction and Classification of Cancer Stage Mentions fromUnstructured Text Fields in a Central Cancer Registry.
201823
10 201322
11
"Sitting on pins and needles": characterization of symptom descriptions in clinical notes".
201321
12 201720
13 202018
14
Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records.
201417
15 201916
16 202316
17
Exploration of ICD-9-CM coding of chronic disease within the Elixhauser Comorbidity Measure in patients with chronic heart failure.
201316
18 201515
19 201114
20
Using Structured and Unstructured Data to Refine Estimates of Military Sexual Trauma Status Among US Military Veterans.
201712

About Andrew Redd

Andrew Redd is a scholar working on General Health Professions, Artificial Intelligence, Molecular Biology, Health Information Management and Clinical Psychology, having authored 50 papers that have together received 698 indexed citations. Recurring topics across this work include Homelessness and Social Issues (13 papers), Topic Modeling (8 papers), Food Security and Health in Diverse Populations (6 papers), Biomedical Text Mining and Ontologies (6 papers), Natural Language Processing Techniques (5 papers), Emergency and Acute Care Studies (4 papers), Data-Driven Disease Surveillance (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Health Informatics (22 citations), Health Information Management (35 citations), Issues, ethics and legal aspects (8 citations), General Health Professions (158 citations) and Nephrology (36 citations). Andrew Redd has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Adi V. Gundlapalli, Matthew H. Samore, Marjorie E. Carter, Miland Palmer, Guy Divita, Jamison D. Fargo, Jennifer H. Garvin, Warren Pettey, Ying Suo and Shuying Shen. Their work appears in journals such as Journal of Biomedical Informatics, Medical Care, Journal of the American Medical Informatics Association, Open Forum Infectious Diseases and Mathematical Medicine and Biology A Journal of the IMA.

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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