David C. Hoyle

1.8k total citations
34 papers, 1.1k citations indexed

About

David C. Hoyle is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, David C. Hoyle has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Statistics and Probability. Recurrent topics in David C. Hoyle's work include Fungal and yeast genetics research (8 papers), Gene expression and cancer classification (6 papers) and Bayesian Methods and Mixture Models (5 papers). David C. Hoyle is often cited by papers focused on Fungal and yeast genetics research (8 papers), Gene expression and cancer classification (6 papers) and Bayesian Methods and Mixture Models (5 papers). David C. Hoyle collaborates with scholars based in United Kingdom, United States and Italy. David C. Hoyle's co-authors include Magnus Rattray, Stephen G. Oliver, Paul G. Higgs, Nicholas J. Savill, Lubomira Stateva, Andy Brass, Ray Jupp, Ian Clarke, Andrew Hayes and Harish Bhaskar and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

David C. Hoyle

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David C. Hoyle United Kingdom 17 631 170 131 122 98 34 1.1k
Jean‐Jacques Daudin France 19 428 0.7× 133 0.8× 318 2.4× 184 1.5× 244 2.5× 36 1.6k
Gaëlle Lelandais France 19 806 1.3× 56 0.3× 73 0.6× 232 1.9× 53 0.5× 49 1.2k
Lun Zhang China 18 609 1.0× 90 0.5× 48 0.4× 56 0.5× 12 0.1× 61 1.1k
Carla M. Carvalho Portugal 25 596 0.9× 272 1.6× 128 1.0× 115 0.9× 327 3.3× 42 2.2k
Gilles Caraux France 8 360 0.6× 38 0.2× 127 1.0× 121 1.0× 46 0.5× 14 831
Elon Portugaly Israel 9 735 1.2× 22 0.1× 109 0.8× 221 1.8× 199 2.0× 10 1.3k
Md. Altaf‐Ul‐Amin Japan 17 1.5k 2.3× 93 0.5× 181 1.4× 310 2.5× 82 0.8× 77 2.1k
Nic M. Vega United States 11 1.5k 2.3× 69 0.4× 420 3.2× 112 0.9× 84 0.9× 27 2.0k
Georges Natsoulis United States 23 2.6k 4.1× 54 0.3× 575 4.4× 438 3.6× 68 0.7× 34 3.3k
Thomas J. Leonard United States 23 777 1.2× 67 0.4× 45 0.3× 1.1k 8.9× 134 1.4× 51 2.1k

Countries citing papers authored by David C. Hoyle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David C. Hoyle

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Hoyle. A scholar is included among the top collaborators of David C. Hoyle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David C. Hoyle. David C. Hoyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hoyle, David C., et al.. (2024). Quantum optimization with linear Ising penalty functions for customer data science. Physical Review Research. 6(4). 1 indexed citations
2.
Hoyle, David C., et al.. (2024). Experimental demonstration of improved quantum optimization with linear Ising penalties. New Journal of Physics. 1 indexed citations
3.
Aslam, Tariq, Sajjad Mahmood, Konstantinos Balaskas, & David C. Hoyle. (2021). Statistical Modelling of the Visual Impact of Subretinal Fluid and Associated Features. Ophthalmology and Therapy. 10(1). 127–135. 2 indexed citations
4.
Aslam, Tariq & David C. Hoyle. (2021). Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial Intelligence. Ophthalmology and Therapy. 11(1). 69–80. 11 indexed citations
5.
Davey, Hazel M., Daniela Delneri, David C. Hoyle, et al.. (2012). Genome‐wide analysis of longevity in nutrient‐deprived Saccharomyces cerevisiae reveals importance of recycling in maintaining cell viability. Environmental Microbiology. 14(5). 1249–1260. 21 indexed citations
6.
Hoyle, David C., Gabriella Juhász, Ester Aso, et al.. (2010). Shared changes in gene expression in frontal cortex of four genetically modified mouse models of depression. European Neuropsychopharmacology. 21(1). 3–10. 13 indexed citations
7.
Hoyle, David C., et al.. (2009). Shared Genomics: High Performance Computing for distributed insights in genomic medical research. Studies in health technology and informatics. 147. 232–41.
8.
Hoyle, David C.. (2008). Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes. Journal of Machine Learning Research. 9(92). 2733–2759. 28 indexed citations
9.
Noyes, Harry, et al.. (2008). Strong position-dependent effects of sequence mismatches on signal ratios measured using long oligonucleotide microarrays. BMC Genomics. 9(1). 317–317. 28 indexed citations
10.
Hoyle, David C. & Magnus Rattray. (2007). Statistical mechanics of learning multiple orthogonal signals: Asymptotic theory and fluctuation effects. Physical Review E. 75(1). 16101–16101. 17 indexed citations
11.
Holland, Sara L., E. M. Lodwig, Theodora Sideri, et al.. (2007). Application of the comprehensive set of heterozygous yeast deletion mutants to elucidate the molecular basis of cellular chromium toxicity. Genome biology. 8(12). R268–R268. 51 indexed citations
12.
Álam, Intikhab, Darren M. Soanes, Han Min Wong, et al.. (2005). e-Fungi: an e-science infrastructure for comparative functional genomics in fungal species. 2 indexed citations
13.
Petty, June, David C. Hoyle, Andrew Hayes, et al.. (2004). Genome‐wide analysis of the effects of heat shock on a Saccharomyces cerevisiae mutant with a constitutively activated cAMP‐dependent pathway. Comparative and Functional Genomics. 5(5). 419–431. 23 indexed citations
14.
Gent, Manda E., et al.. (2004). Comparative Genomic Hybridization Provides New Insights Into the Molecular Taxonomy of the Saccharomyces Sensu Stricto Complex. Genome Research. 14(6). 1043–1051. 57 indexed citations
15.
Hoyle, David C. & Magnus Rattray. (2004). Principal-component-analysis eigenvalue spectra from data with symmetry-breaking structure. Physical Review E. 69(2). 26124–26124. 44 indexed citations
16.
Hoyle, David C. & Magnus Rattray. (2003). Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. Research Explorer (The University of Manchester). 16. 1181–1188. 13 indexed citations
17.
Hoyle, David C. & Paul G. Higgs. (2003). Factors Affecting the Errors in the Estimation of Evolutionary Distances Between Sequences. Molecular Biology and Evolution. 20(1). 1–9. 9 indexed citations
18.
Hoyle, David C. & Magnus Rattray. (2003). PCA learning for sparse high-dimensional data. Europhysics Letters (EPL). 62(1). 117–123. 16 indexed citations
19.
Sims, Andrew H., Geoffrey D. Robson, David C. Hoyle, et al.. (2003). Use of expressed sequence tag analysis and cDNA microarrays of the filamentous fungus Aspergillus nidulans. Fungal Genetics and Biology. 41(2). 199–212. 38 indexed citations
20.
Savill, Nicholas J., David C. Hoyle, & Paul G. Higgs. (2001). RNA Sequence Evolution With Secondary Structure Constraints: Comparison of Substitution Rate Models Using Maximum-Likelihood Methods. Genetics. 157(1). 399–411. 143 indexed citations

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.

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