Matthew Alpert
Impact in
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- Computational Geometry and Mesh Generation
Papers in
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- Genomics and Phylogenetic Studies 2
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- Agricultural pest management studies 1
- Chromosomal and Genetic Variations 1
- Plant Disease Resistance and Genetics 1
- Soybean genetics and cultivation 1
- Co-authors
- Stefano Lonardi (3 shared papers)Steve Wanamaker (3 shared papers)Denisa Duma (3 shared papers)Gianfranco Ciardo (2 shared papers)Timothy J. Close (3 shared papers)Hamid Mirebrahim (1 shared paper)Marco Beccuti (1 shared paper)Yaqin Ma (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)The Electronic Journal of Combinatorics (1 paper)Bioinformatics (1 paper)e-Publications@Marquette (Marquette University) (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Matthew Alpert
3 papers receiving 41 citations
Peers
Comparison fields: 5 of 38
- Computer Graphics and Computer-Aided Design 3
- Medical Laboratory Technology 1
- Ecology 12
- Molecular Biology 24
- Microbiology 2
Countries citing papers authored by Matthew Alpert
This map shows the geographic impact of Matthew Alpert'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 Matthew Alpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Alpert more than expected).
Fields of papers citing papers by Matthew Alpert
This network shows the impact of papers produced by Matthew Alpert. 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 Matthew Alpert. The network helps show where Matthew Alpert may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Alpert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 23 | |
| 2 | 2015 | 18 | |
| 3 | 2009 | 3 | |
| 4 | Genome Resources For Cowpea Genotype IT97K-499-35 | 2011 | 1 |
About Matthew Alpert
Matthew Alpert is a scholar working on Molecular Biology, Plant Science, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 4 papers that have together received 45 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Agricultural pest management studies (1 paper), Advanced Graph Theory Research (1 paper), Chromosomal and Genetic Variations (1 paper), Plant Disease Resistance and Genetics (1 paper), Digital Image Processing Techniques (1 paper), Soybean genetics and cultivation (1 paper) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3 citations), Medical Laboratory Technology (1 citation), Ecology (12 citations), Molecular Biology (24 citations) and Microbiology (2 citations). Matthew Alpert has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Stefano Lonardi, Steve Wanamaker, Denisa Duma, Gianfranco Ciardo, Timothy J. Close, Hamid Mirebrahim, Marco Beccuti, Yaqin Ma, Prasanna R. Bhat and Burair Alsaihati. Their work appears in journals such as PLoS Computational Biology, The Electronic Journal of Combinatorics, Bioinformatics and e-Publications@Marquette (Marquette University).
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.