Tamára L. Box

602 citations
13 papers · 366 · h-index 11

Impact in

Papers in

Tamára L. Box

13 papers receiving 359 citations

Peers

Tamára L. Box
Comparison fields: 5 of 78
  • Health Information Management 39
  • Cardiology and Cardiovascular Medicine 139
  • Internal Medicine 16
  • General Health Professions 66
  • Infectious Diseases 48
Replace Clovis Nkoké with:
Clovis Nkoké Cameroon
NR Powe United States
Alassane Mbaye Senegal
Jordan Swartz United States
Natalie Gavrielov‐Yusim Israel
Ype de Jong Netherlands
John Flanigan United States
Andrew Porter United States
Barakat Adeola Animasahun Nigeria
Christine Rutan United States
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Citations per field
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Citations per year

Countries citing papers authored by Tamára L. Box

Since Specialization
Citations

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

Fields of papers citing papers by Tamára L. Box

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamára L. Box. 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 Tamára L. Box. The network helps show where Tamára L. Box may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201491
2 201386
3 201047
4 202123
5 200120
6 200219
7 200819
8
A Natural Language Processing System for National COVID-19 Surveillance in the US Department of Veterans Affairs
202017
9 200315
10 201312
11 199510
12 20066
13 20071

About Tamára L. Box

Tamára L. Box is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management, Epidemiology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Electronic Health Records Systems (3 papers), Medical Coding and Health Information (2 papers), HIV/AIDS Research and Interventions (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Data-Driven Disease Surveillance (2 papers), Clinical practice guidelines implementation (2 papers), COVID-19 diagnosis using AI (1 paper) and Ethics and Legal Issues in Pediatric Healthcare (1 paper). The work is most often cited by research in Health Information Management (39 citations), Cardiology and Cardiovascular Medicine (139 citations), Internal Medicine (16 citations), General Health Professions (66 citations) and Infectious Diseases (48 citations). Tamára L. Box has collaborated with scholars based in United States. Frequent co-authors include John S. Rumsfeld, Thomas M. Maddox, Mary E. Plomondon, Stephan D. Fihn, Robert L. Jesse, Rebecca Vigen, James Brian Byrd, Thomas T. Tsai, Sheri A. Keitz and Mary B. McDonell. Their work appears in journals such as Journal of General Internal Medicine, The Clinical Neuropsychologist, Clinical Epidemiology, Journal of Investigative Medicine and American Journal of Obstetrics and Gynecology.

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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