David C. Hoyle
Impact in
- Statistics and Probability top 5%
- Food Science top 5%
- Probiotics and Fermented Foods
- Fermentation and Sensory Analysis
Papers in
-
- Fungal and yeast genetics research 7
- Gene expression and cancer classification 5
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 4
- Genomics and Phylogenetic Studies 4
-
- Bayesian Methods and Mixture Models 5
- Co-authors
- Magnus Rattray (6 shared papers)Stephen G. Oliver (9 shared papers)Paul G. Higgs (3 shared papers)Nicholas J. Savill (2 shared papers)Lubomira Stateva (4 shared papers)Andy Brass (3 shared papers)Ian Clarke (3 shared papers)Ray Jupp (1 shared paper)
- Journals
- Ophthalmology and Therapy (2 papers)Genome biology (2 papers)Genetics (1 paper)Translational Vision Science & Technology (1 paper)Physical Review Research (1 paper)
- Partner nations
- United KingdomItalySpain
In The Last Decade
David C. Hoyle
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 135
- Statistics and Probability 93
- Food Science 160
- Molecular Biology 573
- Biotechnology 53
- Acoustics and Ultrasonics 5
Countries citing papers authored by David C. Hoyle
This map shows the geographic impact of David C. Hoyle'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 C. Hoyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hoyle more than expected).
Fields of papers citing papers by David C. Hoyle
This network shows the impact of papers produced by David C. Hoyle. 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 C. Hoyle. The network helps show where David C. Hoyle may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Hoyle, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 165 | |
| 2 | 2001 | 143 | |
| 3 | 2002 | 108 | |
| 4 | 2007 | 81 | |
| 5 | 2005 | 69 | |
| 6 | 2004 | 57 | |
| 7 | 2007 | 51 | |
| 8 | 2004 | 44 | |
| 9 | 2003 | 41 | |
| 10 | 2003 | 38 | |
| 11 | Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes | 2008 | 28 |
| 12 | 2008 | 28 | |
| 13 | 2010 | 28 | |
| 14 | 2004 | 23 | |
| 15 | 2009 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2007 | 17 | |
| 18 | 2003 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2010 | 13 |
About David C. Hoyle
David C. Hoyle is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Genetics and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Gene expression and cancer classification (5 papers), Bayesian Methods and Mixture Models (5 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers), Random Matrices and Applications (4 papers) and Fermentation and Sensory Analysis (3 papers). The work is most often cited by research in Statistics and Probability (93 citations), Food Science (160 citations), Molecular Biology (573 citations), Biotechnology (53 citations) and Acoustics and Ultrasonics (5 citations). David C. Hoyle has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Magnus Rattray, Stephen G. Oliver, Paul G. Higgs, Nicholas J. Savill, Lubomira Stateva, Andy Brass, Ian Clarke, Ray Jupp, Andrew Hayes and Harish Bhaskar. Their work appears in journals such as Ophthalmology and Therapy, Genome biology, Genetics, Translational Vision Science & Technology and Physical Review Research.
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.