Richard D. Boyce
- Molecular Biology
- Geriatrics and Gerontology top 1%
- Artificial Intelligence top 5%
- Pharmacology top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- John R. HornDaniel C. MaloneMatthias SamwaldSteven M. HandlerTimothy M. RosePatrick RyanSandra L. Kane‐GillPhilip E. Empey
- Topics
- Biomedical Text Mining and Ontologies (43 papers)Computational Drug Discovery Methods (22 papers)Pharmaceutical Practices and Patient Outcomes (17 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesAustriaNetherlands
In The Last Decade
Richard D. Boyce
98 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 487
- Geriatrics and Gerontology 285
- Artificial Intelligence 279
- Pharmacology 252
- Computational Theory and Mathematics 221
Countries citing papers authored by Richard D. Boyce
This map shows the geographic impact of Richard D. Boyce'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 Richard D. Boyce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D. Boyce more than expected).
Fields of papers citing papers by Richard D. Boyce
This network shows the impact of papers produced by Richard D. Boyce. 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 Richard D. Boyce. The network helps show where Richard D. Boyce may publish in the future.
Co-authorship network of co-authors of Richard D. Boyce
This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Boyce. A scholar is included among the top collaborators of Richard D. Boyce 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 Richard D. Boyce. Richard D. Boyce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 51 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning | 2 |
| 11 | Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. | 8 |
| 12 | Adverse Reactions and Drug-Drug Interaction Extraction tracks at the Text Analysis Conference (TAC). | 1 |
| 13 | 26 | |
| 14 | 69 | |
| 15 | 14 | |
| 16 | UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing | 16 |
| 17 | 32 | |
| 18 | Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts | 9 |
| 19 | 35 | |
| 20 | 20 |
About Richard D. Boyce
Richard D. Boyce is a scholar working on Geriatrics and Gerontology, Toxicology and Health Information Management, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (43 papers), Computational Drug Discovery Methods (22 papers) and Pharmaceutical Practices and Patient Outcomes (17 papers). The work is most often cited by research in Geriatrics and Gerontology (285 citations), Toxicology (181 citations) and Health Information Management (186 citations). Richard D. Boyce has collaborated with scholars based in United States, Austria and Netherlands. Frequent co-authors include John R. Horn, Daniel C. Malone, Matthias Samwald, Steven M. Handler, Timothy M. Rose, Patrick Ryan, Sandra L. Kane‐Gill, Philip E. Empey, Joseph T. Hanlon and Carol Collins. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.