David Levine

13.3k citations
55 papers · 3.3k · 1 hit paper · h-index 24

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
    • Parallel Computing and Optimization Techniques

Papers in

David Levine

51 papers receiving 3.2k citations

David Levine's Hit Papers

A high-performance computing toolset for relatedness and principal component analysis of SNP data 2012 · 1.6k citations
1.6k0+4+9Years since publication50010001.5k

Peers

David Levine
Comparison fields: 5 of 181
  • Genetics 1.1k
  • Hardware and Architecture 156
  • Condensed Matter Physics 231
  • Ecological Modeling 85
  • Nephrology 112
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David Martin United States
Ivo Große Germany
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Avi Mayo Israel
T. Kawahara Japan
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Hans G. Othmer United States
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Countries citing papers authored by David Levine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Levine Line = papers co-authored together David Levine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 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 →
20121641
2 1996197
3 2012123
4 1995104
5 199683
6 201783
7 201782
8 200680
9 201676
10 199670
11 201770
12 200961
13 198857
14 199341
15 199740
16 201140
17
Community health survey in an urban African-American neighborhood: distribution and correlates of elevated blood pressure.
200039
18 199631
19 200329
20
A Genetic Algorithm for the Set Partitioning Problem
199328

About David Levine

David Levine is a scholar working on Computational Theory and Mathematics, Surgery, Molecular Biology, Hematology and Immunology, having authored 55 papers that have together received 3.3k 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), Helicobacter pylori-related gastroenterology studies (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Electromagnetic Scattering and Analysis (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Video Coding and Compression Technologies (3 papers). The work is most often cited by research in Genetics (1.1k citations), Hardware and Architecture (156 citations), Condensed Matter Physics (231 citations), Ecological Modeling (85 citations) and Nephrology (112 citations). David Levine has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Xiuwen Zheng, Cathy C. Laurie, Bruce S. Weir, Stephanie M. Gogarten, Jess Shen, William Gropp, Jack Dongarra, David Callahan, G. K. Leaf and Hans G. Kaper. Their work appears in journals such as Blood, Bioinformatics, Blood Advances, Parallel Computing 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.

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