Peter Huggins
- Computational Mathematics top 10%
- Periodontics top 5%
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- Commutative Algebra and Its Applications 3
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- Genomics and Phylogenetic Studies 8
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
- Machine Learning in Bioinformatics 1
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- Genetic diversity and population structure 5
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- Polynomial and algebraic computation 3
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- Data-Driven Disease Surveillance 1
- Co-authors
- Ziv Bar‐JosephRuriko YoshidaYong LuBernd SturmfelsArnold J. StrombergLior PachterOctavio A. GonzálezM. John Novak
- Journals
- Bioinformatics (3 papers)PLoS Computational Biology (2 papers)Bulletin of Mathematical Biology (2 papers)
- Partner nations
- United StatesPuerto RicoGermany
In The Last Decade
Peter Huggins
21 papers receiving 443 citations
Peers
Comparison fields: 5 of 115
- Computational Mathematics 11
- Periodontics 45
- Discrete Mathematics and Combinatorics 16
- Orthodontics 16
- Algebra and Number Theory 16
Countries citing papers authored by Peter Huggins
This map shows the geographic impact of Peter Huggins'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 Peter Huggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Huggins more than expected).
Fields of papers citing papers by Peter Huggins
This network shows the impact of papers produced by Peter Huggins. 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 Peter Huggins. The network helps show where Peter Huggins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Huggins, 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 | 2019 | 5 | |
| 2 | 2016 | 6 | |
| 3 | 2015 | 33 | |
| 4 | 2014 | 35 | |
| 5 | 2012 | 7 | |
| 6 | 2012 | 6 | |
| 7 | 2011 | 11 | |
| 8 | 2011 | 1 | |
| 9 | 2011 | 75 | |
| 10 | 2011 | 32 | |
| 11 | 2011 | 30 | |
| 12 | 2009 | 68 | |
| 13 | 2008 | 28 | |
| 14 | 2008 | 28 | |
| 15 | 2007 | 11 | |
| 16 | 2006 | 28 | |
| 17 | 2005 | 10 | |
| 18 | 2005 | 3 | |
| 19 | 2004 | 26 | |
| 20 | 1955 | 3 |
About Peter Huggins
Peter Huggins is a scholar working on Computational Mathematics, Algebra and Number Theory, Genetics, Radiological and Ultrasound Technology and Computational Theory and Mathematics, having authored 21 papers that have together received 464 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (5 papers), Polynomial and algebraic computation (3 papers), Commutative Algebra and Its Applications (3 papers), Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (2 papers), Data-Driven Disease Surveillance (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Periodontics (45 citations), Discrete Mathematics and Combinatorics (16 citations), Orthodontics (16 citations) and Algebra and Number Theory (16 citations). Peter Huggins has collaborated with scholars based in United States, Puerto Rico and Germany. Frequent co-authors include Ziv Bar‐Joseph, Ruriko Yoshida, Yong Lu, Bernd Sturmfels, Arnold J. Stromberg, Lior Pachter, Octavio A. González, M. John Novak, Janis González‐Martínez and Jeffrey L. Ebersole. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Bulletin of Mathematical Biology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology and BMC Bioinformatics.
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.