William E. Byrd
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Genetics top 10%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
Papers in
- Genetics 32
- Genomics and Rare Diseases 20
- Genetics and Neurodevelopmental Disorders 18
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- Logic, programming, and type systems 15
- Co-authors
- Daniel P. Friedman (11 shared papers)Oleg Kiselyov (3 shared papers)Matthew Might (7 shared papers)Chung-chieh Shan (2 shared papers)Jeremiah James Willcock (3 shared papers)Arun Chauhan (3 shared papers)Nada Amin (2 shared papers)Andrew Lumsdaine (3 shared papers)
- Journals
- Genetics in Medicine (19 papers)The American Journal of Human Genetics (5 papers)Clinical and Translational Science (3 papers)Brain (3 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesItalySaudi Arabia
In The Last Decade
William E. Byrd
62 papers receiving 678 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 18
- Genetics 168
- Artificial Intelligence 145
- Clinical Biochemistry 20
- Drug Discovery 1
Countries citing papers authored by William E. Byrd
This map shows the geographic impact of William E. Byrd'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 William E. Byrd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Byrd more than expected).
Fields of papers citing papers by William E. Byrd
This network shows the impact of papers produced by William E. Byrd. 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 William E. Byrd. The network helps show where William E. Byrd may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Byrd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2020 | 42 | |
| 3 | 2005 | 40 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 32 | |
| 6 | 2024 | 31 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 25 | |
| 12 | Relational programming in minikanren: techniques, applications, and implementations | 2009 | 20 |
| 13 | 2021 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2023 | 16 | |
| 17 | Pure, Declarative, and Constructive Arithmetic Relations (Declarative Pearl) ⋆ | 2008 | 14 |
| 18 | 2012 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2012 | 13 |
About William E. Byrd
William E. Byrd is a scholar working on Genetics, Artificial Intelligence, Molecular Biology, Hardware and Architecture and Cell Biology, having authored 66 papers that have together received 706 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (20 papers), Genetics and Neurodevelopmental Disorders (18 papers), Logic, programming, and type systems (15 papers), Biomedical Text Mining and Ontologies (5 papers), Parallel Computing and Optimization Techniques (3 papers), Cellular transport and secretion (3 papers), Hereditary Neurological Disorders (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Health Informatics (18 citations), Genetics (168 citations), Artificial Intelligence (145 citations), Clinical Biochemistry (20 citations) and Drug Discovery (1 citation). William E. Byrd has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include Daniel P. Friedman, Oleg Kiselyov, Matthew Might, Chung-chieh Shan, Jeremiah James Willcock, Arun Chauhan, Nada Amin, Andrew Lumsdaine, Michael John Patton and John D. Osborne. Their work appears in journals such as Genetics in Medicine, The American Journal of Human Genetics, Clinical and Translational Science, Brain and Human Molecular Genetics.
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.