Andrew Redd

49 papers receiving 644 citations

Peers

Andrew Redd
Comparison fields: 5 of 113
  • Health Informatics 23
  • Health Information Management 73
  • Issues, ethics and legal aspects 14
  • Emergency Medicine 93
  • General Health Professions 198
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Citations per year

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 201581
2 201451
3
Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans.
201345
4 201632
5 201828
6 201626
7 201322
8 201722
9 201722
10
Automated Extraction and Classification of Cancer Stage Mentions fromUnstructured Text Fields in a Central Cancer Registry.
201820
11
"Sitting on pins and needles": characterization of symptom descriptions in clinical notes".
201319
12 202018
13 201718
14
Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records.
201417
15 201515
16
Exploration of ICD-9-CM coding of chronic disease within the Elixhauser Comorbidity Measure in patients with chronic heart failure.
201315
17 201915
18 202314
19 201113
20 201811

About Andrew Redd

Andrew Redd is a scholar working on General Health Professions, Artificial Intelligence, Emergency Medicine, Molecular Biology and Health Information Management, having authored 50 papers that have together received 658 indexed citations. Recurring topics across this work include Homelessness and Social Issues (13 papers), Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (8 papers), Food Security and Health in Diverse Populations (6 papers), Emergency and Acute Care Studies (6 papers), Natural Language Processing Techniques (5 papers), Trauma and Emergency Care Studies (4 papers) and Migration, Health and Trauma (4 papers). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (73 citations), Issues, ethics and legal aspects (14 citations), Emergency Medicine (93 citations) and General Health Professions (198 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, Shuying Shen, Stéphane M. Meystre and Warren Pettey. Their work appears in journals such as Journal of Biomedical Informatics, Medical Care, Mathematical Medicine and Biology A Journal of the IMA, Open Forum Infectious Diseases and Journal of the American Medical Informatics Association.

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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