Michail Papathomas

570 total citations
25 papers, 353 citations indexed

About

Michail Papathomas is a scholar working on Statistics and Probability, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Michail Papathomas has authored 25 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 3 papers in Astronomy and Astrophysics. Recurrent topics in Michail Papathomas's work include Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Michail Papathomas is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Michail Papathomas collaborates with scholars based in United Kingdom, United States and Australia. Michail Papathomas's co-authors include Sylvia Richardson, John Molitor, Michael Jerrett, David I. Hastie, Silvia Liverani, Lamiae Azizi, Paolo Vineis, Elio Ríboli, Clive Hoggart and Queenie Chan and has published in prestigious journals such as Biometrics, Environmental Health Perspectives and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Michail Papathomas

24 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michail Papathomas United Kingdom 6 120 96 82 41 36 25 353
David I. Hastie United Kingdom 9 136 1.1× 108 1.1× 72 0.9× 20 0.5× 33 0.9× 10 382
Sara Geneletti United Kingdom 9 47 0.4× 206 2.1× 91 1.1× 26 0.6× 38 1.1× 17 509
Chanmin Kim South Korea 10 25 0.2× 85 0.9× 43 0.5× 20 0.5× 12 0.3× 28 268
Jean-Marie Monnez France 7 31 0.3× 34 0.4× 42 0.5× 11 0.3× 24 0.7× 21 309
Matthieu Marbac France 9 90 0.8× 33 0.3× 23 0.3× 19 0.5× 6 0.2× 21 236
Carla Moreira Portugal 15 58 0.5× 139 1.4× 43 0.5× 14 0.3× 10 0.3× 28 388
Rachael V. Phillips United States 11 86 0.7× 75 0.8× 48 0.6× 29 0.7× 2 0.1× 20 444
Angelica Neisa Canada 10 107 0.9× 13 0.1× 163 2.0× 24 0.6× 60 1.7× 10 418
Glòria Mateu‐Figueras Spain 13 187 1.6× 43 0.4× 13 0.2× 32 0.8× 13 0.4× 33 496
Mahmoud Torabi Canada 13 48 0.4× 206 2.1× 25 0.3× 115 2.8× 25 0.7× 76 690

Countries citing papers authored by Michail Papathomas

Since Specialization
Citations

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

Fields of papers citing papers by Michail Papathomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michail Papathomas

This figure shows the co-authorship network connecting the top 25 collaborators of Michail Papathomas. A scholar is included among the top collaborators of Michail Papathomas 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 Michail Papathomas. Michail Papathomas 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.
Wild, Vivienne, et al.. (2025). The diverse quenching pathways of post-starburst galaxies in SDSS-IV MaNGA. Monthly Notices of the Royal Astronomical Society. 543(1). 738–760.
2.
Papathomas, Michail, et al.. (2024). Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels. International Statistical Review. 1 indexed citations
3.
Papathomas, Michail, Ben C. Stevenson, Rachel M. Fewster, et al.. (2024). A flexible framework for spatial capture-recapture with unknown identities. Biometrics. 80(1). 1 indexed citations
4.
Wild, Vivienne, et al.. (2024). Chemical evolution of local post-starburst galaxies: implications for the mass–metallicity relation. Monthly Notices of the Royal Astronomical Society. 528(3). 4029–4052. 3 indexed citations
5.
Crawford, Fay, et al.. (2023). The 10‐year follow‐up of a community‐based cohort of people with diabetes: The incidence of foot ulceration and death. Endocrinology Diabetes & Metabolism. 7(1). e459–e459. 1 indexed citations
6.
Wild, Vivienne, et al.. (2021). Introducing a Real-time Interactive GUI Tool for Visualization of Galaxy Spectra. Research Notes of the AAS. 5(7). 171–171. 2 indexed citations
7.
Cruyff, Maarten, Antony M. Overstall, Michail Papathomas, & Rachel S. McCrea. (2020). Multiple System Estimation of Victims of Human Trafficking: Model Assessment and Selection. Crime & Delinquency. 67(13-14). 2237–2253. 3 indexed citations
8.
Papathomas, Michail, et al.. (2020). Common Methodological Challenges Encountered With Multiple Systems Estimation Studies. Crime & Delinquency. 69(12). 2561–2573. 2 indexed citations
9.
Papathomas, Michail, et al.. (2019). Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models. Edinburgh Research Explorer. 5 indexed citations
10.
Nguyen, Quynh T., R.N.G. Naguib, Michail Papathomas, et al.. (2018). Primary education in Vietnam and pupil online engagement. International Journal of Educational Management. 32(1). 71–83. 9 indexed citations
11.
Papathomas, Michail. (2017). On the correspondence from Bayesian log-linear modelling to logistic regression modelling with g-priors. Test. 27(1). 197–220. 4 indexed citations
12.
Papathomas, Michail & Sylvia Richardson. (2016). Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms. Journal of Statistical Planning and Inference. 173. 47–63. 3 indexed citations
13.
Liverani, Silvia, David I. Hastie, Lamiae Azizi, Michail Papathomas, & Sylvia Richardson. (2015). PReMiuM: AnRPackage for Profile Regression Mixture Models Using Dirichlet Processes. Journal of Statistical Software. 64(7). 1–30. 87 indexed citations
14.
Papathomas, Michail. (2014). On the correspondence between Bayesian log-linear and logistic regression models with unit information priors. arXiv (Cornell University). 1 indexed citations
15.
Molitor, John, Ian Brown, Queenie Chan, et al.. (2014). Blood Pressure Differences Associated With Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART)–Like Diet Compared With a Typical American Diet. Hypertension. 64(6). 1198–1204. 20 indexed citations
16.
Papathomas, Michail, John Molitor, Clive Hoggart, David I. Hastie, & Sylvia Richardson. (2012). Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns. Genetic Epidemiology. 36(6). 663–674. 34 indexed citations
17.
Nguyen, Quynh T., et al.. (2012). Multinomial logistic regression modelling of cardiologists' awareness of the impact of air pollution on cardiovascular disease in Vietnam and the Philippines. International Journal of Biomedical Engineering and Technology. 10(1). 38–38. 1 indexed citations
18.
Papathomas, Michail, John Molitor, Sylvia Richardson, Elio Ríboli, & Paolo Vineis. (2010). Examining the Joint Effect of Multiple Risk Factors Using Exposure Risk Profiles: Lung Cancer in Nonsmokers. Environmental Health Perspectives. 119(1). 84–91. 43 indexed citations
19.
Molitor, John, Michail Papathomas, Michael Jerrett, & Sylvia Richardson. (2010). Bayesian profile regression with an application to the National survey of children's health. Biostatistics. 11(3). 484–498. 116 indexed citations
20.
Papathomas, Michail, Πέτρος Δελλαπόρτας, & Vassilis Vasdekis. (2009). A general proposal construction for reversible jump MCMC. 1 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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