David Haws
Impact in
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- Computational Geometry and Mesh Generation
Papers in
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- Speech Recognition and Synthesis 8
- Natural Language Processing Techniques 4
- Bayesian Modeling and Causal Inference 4
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- Polynomial and algebraic computation 4
- Co-authors
- Ruriko Yoshida (10 shared papers)Sen-ching S. Cheung (2 shared papers)Milan Studený (4 shared papers)Peter Huggins (4 shared papers)Jesús A. De Loera (4 shared papers)Raymond Hemmecke (3 shared papers)Irina Rish (2 shared papers)James Cussens (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (1 paper)BMC Bioinformatics (1 paper)Discrete Optimization (1 paper)Discrete & Computational Geometry (1 paper)Annals of the Institute of Statistical Mathematics (1 paper)
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
David Haws
24 papers receiving 224 citations
Peers
Comparison fields: 5 of 71
- Computer Graphics and Computer-Aided Design 18
- Discrete Mathematics and Combinatorics 13
- Computational Mathematics 2
- Signal Processing 35
- Algebra and Number Theory 13
Countries citing papers authored by David Haws
This map shows the geographic impact of David Haws'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 Haws with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Haws more than expected).
Fields of papers citing papers by David Haws
This network shows the impact of papers produced by David Haws. 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 Haws. The network helps show where David Haws may publish in the future.
Co-authors
The 25 scholars most cited alongside David Haws, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 48 | |
| 2 | 2004 | 26 | |
| 3 | 2011 | 21 | |
| 4 | 2015 | 17 | |
| 5 | 2011 | 16 | |
| 6 | 2015 | 14 | |
| 7 | 2015 | 12 | |
| 8 | 2011 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2005 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2013 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2016 | 3 |
About David Haws
David Haws is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Genetics, Molecular Biology and Algebra and Number Theory, having authored 27 papers that have together received 245 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (4 papers), Bayesian Modeling and Causal Inference (4 papers), Polynomial and algebraic computation (4 papers), Genomics and Phylogenetic Studies (3 papers), Commutative Algebra and Its Applications (3 papers), Genetic diversity and population structure (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (18 citations), Discrete Mathematics and Combinatorics (13 citations), Computational Mathematics (2 citations), Signal Processing (35 citations) and Algebra and Number Theory (13 citations). David Haws has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Ruriko Yoshida, Sen-ching S. Cheung, Milan Studený, Peter Huggins, Jesús A. De Loera, Raymond Hemmecke, Irina Rish, James Cussens, Dan He and Xiaodong Cui. Their work appears in journals such as International Journal of Approximate Reasoning, BMC Bioinformatics, Discrete Optimization, Discrete & Computational Geometry and Annals of the Institute of Statistical Mathematics.
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.