Thomas Colthurst
Impact in
- Health Informatics top 5%
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Speech and Audio Processing 6
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- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 1
- Co-authors
- Cory Y. McLean (2 shared papers)Nam V. Nguyen (1 shared paper)Sam Gross (1 shared paper)David H. Alexander (1 shared paper)Scott Schwartz (1 shared paper)Alexander Ku (1 shared paper)Ryan Poplin (1 shared paper)Pi-Chuan Chang (1 shared paper)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (1 paper)Nature Communications (1 paper)Nature Biotechnology (1 paper)Conference of the International Speech Communication Association (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Thomas Colthurst
10 papers receiving 1.0k citations
Thomas Colthurst's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 24
- Signal Processing 182
- Artificial Intelligence 365
- Genetics 313
- Cancer Research 147
Countries citing papers authored by Thomas Colthurst
This map shows the geographic impact of Thomas Colthurst'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 Thomas Colthurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Colthurst more than expected).
Fields of papers citing papers by Thomas Colthurst
This network shows the impact of papers produced by Thomas Colthurst. 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 Thomas Colthurst. The network helps show where Thomas Colthurst may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Colthurst, 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 | A universal SNP and small-indel variant caller using deep neural networks Hit paper breakdown → | 2018 | 757 |
| 2 | 2007 | 191 | |
| 3 | 2005 | 31 | |
| 4 | 2006 | 27 | |
| 5 | 1998 | 27 | |
| 6 | 2022 | 18 | |
| 7 | 2002 | 6 | |
| 8 | BBN CTS English System | 2003 | 6 |
| 9 | 2000 | 4 | |
| 10 | 2007 | 4 |
About Thomas Colthurst
Thomas Colthurst is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Genetics and Molecular Biology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Advanced Data Compression Techniques (4 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic Associations and Epidemiology (1 paper), Genetic and phenotypic traits in livestock (1 paper), Genomics and Rare Diseases (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (24 citations), Signal Processing (182 citations), Artificial Intelligence (365 citations), Genetics (313 citations) and Cancer Research (147 citations). Thomas Colthurst has collaborated with scholars based in United States and France. Frequent co-authors include Cory Y. McLean, Nam V. Nguyen, Sam Gross, David H. Alexander, Scott Schwartz, Alexander Ku, Ryan Poplin, Pi-Chuan Chang, Pegah Tootoonchi Afshar and Mark A. DePristo. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Nature Communications, Nature Biotechnology, Conference of the International Speech Communication Association and IEEE International Conference on Acoustics Speech and Signal Processing.
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.