Ruth Reeves

1.6k total citations
29 papers, 319 citations indexed

About

Ruth Reeves is a scholar working on Artificial Intelligence, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ruth Reeves has authored 29 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ruth Reeves's work include Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (4 papers) and Insect and Pesticide Research (4 papers). Ruth Reeves is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (4 papers) and Insect and Pesticide Research (4 papers). Ruth Reeves collaborates with scholars based in United States and Australia. Ruth Reeves's co-authors include Michael E. Matheny, Deborah A. Cory‐Slechta, Mona Thiruchelvam, Theodore Speroff, Steven H. Brown, Glenn T. Gobbel, Dominik Aronsky, Eric K. Richfield, Peter L. Elkin and Harvey J. Murff and has published in prestigious journals such as Brain Research, Medical Care and Journal of Medical Internet Research.

In The Last Decade

Ruth Reeves

22 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth Reeves United States 10 99 88 46 43 29 29 319
Worrawat Engchuan Canada 11 50 0.5× 125 1.4× 49 1.1× 53 1.2× 25 0.9× 28 391
Ehsan Ullah Qatar 12 69 0.7× 139 1.6× 33 0.7× 29 0.7× 5 0.2× 49 468
Jiehuan Sun United States 11 63 0.6× 170 1.9× 18 0.4× 19 0.4× 7 0.2× 29 461
Clair Blacketer United States 10 39 0.4× 63 0.7× 31 0.7× 33 0.8× 4 0.1× 20 368
Yikang Wang China 13 71 0.7× 49 0.6× 40 0.9× 82 1.9× 3 0.1× 29 404
Scott Kaplin United States 9 95 1.0× 39 0.4× 143 3.1× 136 3.2× 4 0.1× 17 510
Augusto Anguita‐Ruiz Spain 14 83 0.8× 71 0.8× 20 0.4× 11 0.3× 3 0.1× 38 532
Josip Vrdoljak Croatia 13 31 0.3× 95 1.1× 34 0.7× 7 0.2× 7 0.2× 45 477
Alexander Blood United States 13 25 0.3× 50 0.6× 182 4.0× 17 0.4× 46 1.6× 36 455
Łukasz Roguski United Kingdom 9 166 1.7× 124 1.4× 32 0.7× 17 0.4× 2 0.1× 10 383

Countries citing papers authored by Ruth Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Reeves

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Reeves. A scholar is included among the top collaborators of Ruth Reeves 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 Ruth Reeves. Ruth Reeves 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
2.
Al-Garadi, Mohammed Ali, Michele L. Lenoue-Newton, Michael E. Matheny, et al.. (2025). Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study. Journal of Medical Internet Research. 27. e71113–e71113.
3.
Meerwijk, Esther L., Andrea K. Finlay, Ruth Reeves, et al.. (2025). Computing 3‐Step Theory of Suicide Factor Scores From Veterans Health Administration Clinical Progress Notes. Suicide and Life-Threatening Behavior. 55(1). e70004–e70004.
4.
Jeffery, Alvin D., Daniel Fabbri, Ruth Reeves, & Michael E. Matheny. (2024). Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression. Heliyon. 10(5). e26434–e26434.
5.
Meerwijk, Esther L., et al.. (2023). Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes. Journal of Biomedical Informatics. 150. 104582–104582. 3 indexed citations
6.
Reeves, Ruth, et al.. (2023). Team-Based Text Analytics for Health Information Systems Learning. AHFE international.
7.
Meerwijk, Esther L., Suzanne Tamang, Andrea K. Finlay, et al.. (2022). Suicide theory-guided natural language processing of clinical progress notes to improve prediction of veteran suicide risk: protocol for a mixed-method study. BMJ Open. 12(8). e065088–e065088. 7 indexed citations
8.
Reeves, Ruth, Lee M. Christensen, Jeremiah R. Brown, et al.. (2021). Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. Journal of Biomedical Informatics. 120. 103851–103851. 27 indexed citations
9.
Wrenn, Jesse O., David Westerman, Ruth Reeves, & Michael J. Ward. (2020). 221EMF Development and Validation of a Text Rendering and Data Retrieval System for Extracting Clinical Information from Paper Medical Records. Annals of Emergency Medicine. 76(4). S86–S86. 1 indexed citations
10.
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
11.
Reeves, Ruth, Brett R. South, Glenn T. Gobbel, et al.. (2018). Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora.. AMIA. 1 indexed citations
12.
Levy, Andrew, Nishant R. Shah, Michael E. Matheny, et al.. (2018). Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools. Journal of Nuclear Cardiology. 26(6). 1878–1885. 6 indexed citations
13.
Gobbel, Glenn T., et al.. (2015). RapTAT: A Tool for Assisted Annotation and Reviewer Training via Online Machine Learning.. AMIA. 1 indexed citations
14.
Gobbel, Glenn T., Jennifer H. Garvin, Ruth Reeves, et al.. (2014). Assisted annotation of medical free text using RapTAT. Journal of the American Medical Informatics Association. 21(5). 833–841. 29 indexed citations
15.
Gobbel, Glenn T., Ruth Reeves, Dario A. Giuse, et al.. (2013). Development and evaluation of RapTAT: A machine learning system for concept mapping of phrases from medical narratives. Journal of Biomedical Informatics. 48. 54–65. 19 indexed citations
16.
Reeves, Ruth, Mona Thiruchelvam, & Deborah A. Cory‐Slechta. (2004). Expression of behavioral sensitization to the cocaine-like fungicide triadimefon is blocked by pretreatment with AMPA, NMDA and DA D1 receptor antagonists. Brain Research. 1008(2). 155–167. 12 indexed citations
17.
Reeves, Ruth, Mona Thiruchelvam, Eric K. Richfield, & Deborah A. Cory‐Slechta. (2004). The effect of developmental exposure to the fungicide triadimefon on behavioral sensitization to triadimefon during adulthood. Toxicology and Applied Pharmacology. 200(1). 54–63. 13 indexed citations
19.
Reeves, Ruth, Mona Thiruchelvam, Eric K. Richfield, & Deborah A. Cory‐Slechta. (2003). Behavioral sensitization and long-term neurochemical alterations associated with the fungicide triadimefon. Pharmacology Biochemistry and Behavior. 76(2). 315–326. 23 indexed citations
20.
Kawanishi, David T., J A Brinker, Ruth Reeves, et al.. (1998). Spontaneous Versus Extraction Related Injuries Associated With Accufix J‐wire Atrial Pacemaker Lead: Tracking Changes in Patient Management. Pacing and Clinical Electrophysiology. 21(11). 2314–2317. 8 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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