Andrew Redd

946 total citations
50 papers, 658 citations indexed

About

Andrew Redd is a scholar working on General Health Professions, Artificial Intelligence and Emergency Medicine. According to data from OpenAlex, Andrew Redd has authored 50 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Health Professions, 13 papers in Artificial Intelligence and 10 papers in Emergency Medicine. Recurrent topics in Andrew Redd's work include Homelessness and Social Issues (13 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Andrew Redd is often cited by papers focused on Homelessness and Social Issues (13 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Andrew Redd collaborates with scholars based in United States, Australia and China. Andrew Redd's co-authors include Adi V. Gundlapalli, Matthew H. Samore, Marjorie E. Carter, Miland Palmer, Guy Divita, Jamison D. Fargo, Shuying Shen, Jennifer H. Garvin, Stéphane M. Meystre and Warren Pettey and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Medical Care.

In The Last Decade

Andrew Redd

49 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Redd United States 16 198 142 107 106 93 50 658
Brian W. Patterson United States 17 153 0.8× 84 0.6× 59 0.6× 106 1.0× 254 2.7× 90 935
Timothy H. Hartzog United States 7 134 0.7× 121 0.9× 72 0.7× 127 1.2× 115 1.2× 7 822
Fernanda Polubriaginof United States 16 143 0.7× 166 1.2× 139 1.3× 56 0.5× 26 0.3× 39 867
Derk L. Arts Netherlands 12 184 0.9× 57 0.4× 52 0.5× 156 1.5× 74 0.8× 25 713
Cathy A. Eastwood Canada 15 104 0.5× 59 0.4× 40 0.4× 164 1.5× 56 0.6× 56 677
Tanya Mashiach Israel 14 136 0.7× 50 0.4× 33 0.3× 137 1.3× 53 0.6× 33 695
Allison R. Wilcox United States 14 123 0.6× 48 0.3× 60 0.6× 101 1.0× 20 0.2× 35 618
Zahir Kanjee United States 10 72 0.4× 190 1.3× 35 0.3× 86 0.8× 37 0.4× 32 713
Santiago Romero‐Brufau United States 16 71 0.4× 168 1.2× 28 0.3× 291 2.7× 173 1.9× 39 817
Frank Stearns United States 11 86 0.4× 158 1.1× 18 0.2× 148 1.4× 87 0.9× 14 579

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-authorship network of co-authors of Andrew Redd

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Redd. A scholar is included among the top collaborators of Andrew Redd 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 Andrew Redd. Andrew Redd 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.
Yoon, Jean, Ciaran S. Phibbs, Michael Ong, et al.. (2024). Acute hospitalizations and outcomes in Veterans Affairs Hospitals 2011 to 2017. Medicine. 103(30). e38934–e38934.
2.
Stewart, Ian J., Eduard Poltavskiy, Jeffrey T. Howard, et al.. (2020). The Enduring Health Consequences of Combat Trauma: a Legacy of Chronic Disease. Journal of General Internal Medicine. 36(3). 713–721. 18 indexed citations
3.
Garvin, Jennifer H., Young-Jun Kim, Glenn T. Gobbel, et al.. (2018). Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR Medical Informatics. 6(1). e5–e5. 28 indexed citations
4.
Hanrahan, Christopher J., Michelle Mueller, Daniel Kim, et al.. (2018). Diagnostic Accuracy of Noncontrast MR Angiography Protocols at 3T for the Detection and Characterization of Lower Extremity Peripheral Arterial Disease. Journal of Vascular and Interventional Radiology. 29(11). 1585–1594.e2. 11 indexed citations
5.
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
6.
Gawron, Lori M., Warren Pettey, Andrew Redd, Ying Suo, & Adi V. Gundlapalli. (2017). Distance to Veterans Administration Medical Centers as a Barrier to Specialty Care for Homeless Women Veterans.. PubMed. 238. 112–115. 6 indexed citations
7.
Gundlapalli, Adi V., Audrey L. Jones, Andrew Redd, et al.. (2017). Characteristics of the Highest Users of Emergency Services in Veterans Affairs Hospitals: Homeless and Non-Homeless.. PubMed. 238. 24–27. 8 indexed citations
8.
Kim, Young-Jun, Jennifer H. Garvin, Mary K. Goldstein, et al.. (2017). Extraction of left ventricular ejection fraction information from various types of clinical reports. Journal of Biomedical Informatics. 67. 42–48. 22 indexed citations
9.
Fargo, Jamison D., Emily Brignone, Stephen Metraux, et al.. (2017). Homelessness following disability-related discharges from active duty military service in Afghanistan and Iraq. Disability and health journal. 10(4). 592–599. 4 indexed citations
10.
Gawron, Lori M., et al.. (2016). Uptake of long-acting reversible contraception among homeless versus housed women veterans. Contraception. 94(4). 411–411. 2 indexed citations
11.
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
12.
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
13.
Pettey, Warren, Damon Toth, Andrew Redd, et al.. (2016). Using network projections to explore co-incidence and context in large clinical datasets: Application to homelessness among U.S. Veterans. Journal of Biomedical Informatics. 61. 203–213. 3 indexed citations
14.
Peterson, Rachel K., Adi V. Gundlapalli, Stephen Metraux, et al.. (2015). Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria. PLoS ONE. 10(7). e0132664–e0132664. 81 indexed citations
15.
Carter, Michael, Andrew Redd, Kalpana Gupta, et al.. (2015). Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes. Methods of Information in Medicine. 54(6). 548–552. 15 indexed citations
16.
Gundlapalli, Adi V., et al.. (2014). Exploring patterns in resource utilization prior to the formal identification of homelessness in recently returned veterans.. PubMed. 202. 265–8. 3 indexed citations
17.
Meystre, Stéphane M., Young-Jun Kim, Andrew Redd, & Jennifer H. Garvin. (2014). Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation.. AMIA. 2 indexed citations
18.
Greene, Tom, Chia‐Chen Teng, Lesley A. Inker, et al.. (2014). Utility and Validity of Estimated GFR–Based Surrogate Time-to-Event End Points in CKD: A Simulation Study. American Journal of Kidney Diseases. 64(6). 867–879. 51 indexed citations
19.
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
20.
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

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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