Chris Sherlock

1.4k total citations
44 papers, 802 citations indexed

About

Chris Sherlock is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Chris Sherlock has authored 44 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 7 papers in Infectious Diseases. Recurrent topics in Chris Sherlock's work include Markov Chains and Monte Carlo Methods (19 papers), Bayesian Methods and Mixture Models (12 papers) and Stochastic processes and statistical mechanics (7 papers). Chris Sherlock is often cited by papers focused on Markov Chains and Monte Carlo Methods (19 papers), Bayesian Methods and Mixture Models (12 papers) and Stochastic processes and statistical mechanics (7 papers). Chris Sherlock collaborates with scholars based in United Kingdom, Canada and United States. Chris Sherlock's co-authors include Gareth O. Roberts, Paul Fearnhead, Alexandre H. Thiéry, Andrew Golightly, Jeffrey S. Rosenthal, Martin T. Schechter, Benita Yip, Robert S. Hogg, M. V. O'Shaughnessy and Julio Montaner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biometrics.

In The Last Decade

Chris Sherlock

44 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Sherlock United Kingdom 17 202 193 181 167 144 44 802
Natalja Strelkowa Germany 6 243 1.2× 249 1.3× 101 0.6× 142 0.9× 20 0.1× 12 1.1k
Mehmet Yavuz Türkiye 37 83 0.4× 83 0.4× 146 0.8× 77 0.5× 21 0.1× 102 3.7k
David Greenhalgh United Kingdom 29 51 0.3× 59 0.3× 201 1.1× 458 2.7× 76 0.5× 121 2.9k
Kolade M. Owolabi South Africa 36 46 0.2× 51 0.3× 153 0.8× 69 0.4× 65 0.5× 118 3.7k
Sania Qureshi Pakistan 33 50 0.2× 60 0.3× 222 1.2× 96 0.6× 48 0.3× 111 3.7k
Muhammad Farman Pakistan 27 40 0.2× 97 0.5× 181 1.0× 98 0.6× 37 0.3× 215 2.8k
Andreas Ipsen United Kingdom 7 243 1.2× 243 1.3× 75 0.4× 91 0.5× 11 0.1× 9 1.0k
Frederik Graw Germany 22 78 0.4× 28 0.1× 328 1.8× 339 2.0× 234 1.6× 54 1.1k
Philip D. O’Neill United Kingdom 23 249 1.2× 202 1.0× 259 1.4× 483 2.9× 21 0.1× 78 1.7k
Patrick W. Nelson United States 22 33 0.2× 36 0.2× 315 1.7× 277 1.7× 920 6.4× 46 3.3k

Countries citing papers authored by Chris Sherlock

Since Specialization
Citations

This map shows the geographic impact of Chris Sherlock'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 Chris Sherlock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Sherlock more than expected).

Fields of papers citing papers by Chris Sherlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Sherlock. 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 Chris Sherlock. The network helps show where Chris Sherlock may publish in the future.

Co-authorship network of co-authors of Chris Sherlock

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Sherlock. A scholar is included among the top collaborators of Chris Sherlock 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 Chris Sherlock. Chris Sherlock 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.
Golightly, Andrew, et al.. (2023). Accelerating inference for stochastic kinetic models. Computational Statistics & Data Analysis. 185. 107760–107760. 2 indexed citations
2.
Golightly, Andrew & Chris Sherlock. (2022). Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes. Statistics and Computing. 32(1). 1 indexed citations
3.
4.
Tawn, Jonathan A., et al.. (2019). Model‐based inference of conditional extreme value distributions with hydrological applications. Environmetrics. 30(8). 10 indexed citations
5.
Sherlock, Chris. (2018). Simple, fast and accurate evaluation of the action of the exponential of a rate matrix on a probability vector. arXiv (Cornell University). 1 indexed citations
6.
Sherlock, Chris, et al.. (2014). Langevin diffusions and the Metropolis-adjusted Langevin algorithm. Statistics & Probability Letters. 91. 14–19. 50 indexed citations
7.
8.
Sherlock, Chris, et al.. (2013). A Coupled Hidden Markov Model for Disease Interactions. Journal of the Royal Statistical Society Series C (Applied Statistics). 62(4). 609–627. 21 indexed citations
9.
Sherlock, Chris. (2013). Optimal Scaling of the Random Walk Metropolis: General Criteria for the 0.234 Acceptance Rule. Journal of Applied Probability. 50(1). 1–15. 1 indexed citations
10.
Cox, Ruth, Ting‐Li Su, Helen E. Clough, M.J. Woodward, & Chris Sherlock. (2012). Spatial and temporal patterns in antimicrobial resistance ofSalmonellaTyphimurium in cattle in England and Wales. Epidemiology and Infection. 140(11). 2062–2073. 6 indexed citations
11.
Williams, Nicola, Chris Sherlock, Trevor R. Jones, et al.. (2011). The prevalence of antimicrobial-resistantEscherichia coliin sympatric wild rodents varies by season and host. Journal of Applied Microbiology. 110(4). 962–970. 28 indexed citations
12.
Ogilvie, Gina, Mel Krajden, Judith L. Isaac‐Renton, et al.. (2007). Feasibility of self-collection of specimens for human papillomavirus testing in hard-to-reach women. Canadian Medical Association Journal. 177(5). 480–483. 46 indexed citations
13.
Steel, Mark F. J., et al.. (2005). Bayesian analysis of single-molecule experimental data - Discussion. 3 indexed citations
14.
Money, Deborah, Valencia P. Remple, Chris Sherlock, et al.. (2003). Genital tract and plasma human immunodeficiency virus viral load throughout the menstrual cycle in women who are infected with ovulatory human immunodeficiency virus. American Journal of Obstetrics and Gynecology. 188(1). 122–128. 23 indexed citations
15.
Comanor, Lorraine, Mel Krajden, Kathryn E. Kronquist, et al.. (2002). Successful HCV genotyping of previously failed and low viral load specimens using an HCV RNA qualitative assay based on transcription-mediated amplification in conjunction with the line probe assay. Journal of Clinical Virology. 28(1). 14–26. 19 indexed citations
16.
Comanor, Lorraine, Frank Anderson, Marc G. Ghany, et al.. (2001). Transcription-mediated amplification is more sensitive than conventional PCR-based assays for detecting residual serum HCV RNA at end of treatment. The American Journal of Gastroenterology. 96(10). 2968–2972. 55 indexed citations
17.
Hogg, Robert S., Benita Yip, Chris Sherlock, et al.. (1998). Antiviral effect of double and triple drug combinations amongst HIV-infected adults. AIDS. 12(3). 279–284. 77 indexed citations
18.
Hoz, Rafael E. de la, Seán Byrne, Shizu Hayashi, et al.. (1998). Diagnosis of cytomegalovirus infection in HIV-infected patients with respiratory disease. Clinical and Diagnostic Virology. 10(1). 1–7. 1 indexed citations
19.
Hogg, Robert S., Benita Yip, Chris Sherlock, et al.. (1998). The antiviral effect of ritonavir and saquinavir incombination amongst HIV-infected adults. AIDS. 12(6). 619–624. 47 indexed citations
20.
Hogg, Robert S., Benita Yip, Chris Sherlock, et al.. (1998). Do Dual Nucleoside Regimens Have a Role in an Era of Plasma Viral Load‐Driven Antiretroviral Therapy?. The Journal of Infectious Diseases. 178(3). 662–668. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Natalja Strelkowa Breakdown of academic impact, for papers by Mehmet Yavuz Breakdown of academic impact, for papers by David Greenhalgh Breakdown of academic impact, for papers by Kolade M. Owolabi Breakdown of academic impact, for papers by Sania Qureshi Breakdown of academic impact, for papers by Muhammad Farman Breakdown of academic impact, for papers by Andreas Ipsen Breakdown of academic impact, for papers by Frederik Graw Breakdown of academic impact, for papers by Philip D. O’Neill Breakdown of academic impact, for papers by Patrick W. Nelson
Rankless by CCL
2026