David Levine
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
- Co-authors
- Xiuwen Zheng (5 shared papers)Cathy C. Laurie (4 shared papers)Bruce S. Weir (3 shared papers)Stephanie M. Gogarten (3 shared papers)Jess Shen (2 shared papers)William Gropp (7 shared papers)Jack Dongarra (4 shared papers)David Callahan (4 shared papers)
- Journals
- Blood (5 papers)Bioinformatics (3 papers)Blood Advances (3 papers)Physical Review Letters (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David Levine
54 papers receiving 3.4k citations
David Levine's Hit Papers
Peers
Comparison fields: 5 of 185
- Genetics 1.1k
- Hardware and Architecture 183
- Condensed Matter Physics 243
- Ecological Modeling 83
- Nephrology 112
Countries citing papers authored by David Levine
This map shows the geographic impact of David Levine'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 David Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Levine more than expected).
Fields of papers citing papers by David Levine
This network shows the impact of papers produced by David Levine. 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 David Levine. The network helps show where David Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside David Levine, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A high-performance computing toolset for relatedness and principal component analysis of SNP data Hit paper breakdown → | 2012 | 1701 |
| 2 | 1996 | 202 | |
| 3 | 2012 | 128 | |
| 4 | 1995 | 110 | |
| 5 | 1996 | 95 | |
| 6 | 1996 | 94 | |
| 7 | 2017 | 87 | |
| 8 | 2017 | 86 | |
| 9 | 2006 | 84 | |
| 10 | 2016 | 81 | |
| 11 | 1996 | 76 | |
| 12 | 2017 | 71 | |
| 13 | 2009 | 68 | |
| 14 | 1988 | 65 | |
| 15 | 1993 | 47 | |
| 16 | 1997 | 47 | |
| 17 | 2011 | 42 | |
| 18 | Community health survey in an urban African-American neighborhood: distribution and correlates of elevated blood pressure. | 2000 | 38 |
| 19 | A Genetic Algorithm for the Set Partitioning Problem | 1993 | 36 |
| 20 | 1996 | 33 |
About David Levine
David Levine is a scholar working on Computational Theory and Mathematics, Molecular Biology, Hematology, Immunology and Electrical and Electronic Engineering, having authored 60 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Parallel Computing and Optimization Techniques (6 papers), T-cell and B-cell Immunology (5 papers), Electromagnetic Scattering and Analysis (4 papers), Scheduling and Optimization Algorithms (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Physics of Superconductivity and Magnetism (4 papers). The work is most often cited by research in Genetics (1.1k citations), Hardware and Architecture (183 citations), Condensed Matter Physics (243 citations), Ecological Modeling (83 citations) and Nephrology (112 citations). David Levine has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Xiuwen Zheng, Cathy C. Laurie, Bruce S. Weir, Stephanie M. Gogarten, Jess Shen, William Gropp, Jack Dongarra, David Callahan, Hans G. Kaper and G. K. Leaf. Their work appears in journals such as Blood, Bioinformatics, Blood Advances, Physical Review Letters and Cancer Epidemiology Biomarkers & Prevention.
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.