The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Mark F. J. Steel sits on this spectrum.
This scientist: 177 publications — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Mark F. J. Steel sits on this spectrum.
This scientist: 43 D-Index — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Mark F. J. Steel is affiliated with the University of Warwick in the United Kingdom. Their research primarily spans the field of Mathematics, with a focused contribution to Statistics and Probability. Additional subfields include Artificial Intelligence, Statistical and Nonlinear Physics, General Economics, Econometrics and Finance, and Finance.
The scientist's work covers a variety of key topics, notably Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference, Statistical Methods and Inference, Statistical Distribution Estimation and Applications, Monetary Policy and Economic Impact, Financial Risk and Volatility Modeling, and Market Dynamics and Volatility.
Frequent coauthors collaborating with Mark F. J. Steel include:
Publications featuring Mark F. J. Steel show contributions to several notable venues. The most common is arXiv (Cornell University), with six publications. Other venues include the Journal of the Royal Statistical Society Series B (Statistical Methodology), the Journal of Economic Literature, Biometrika, and Significance.
Recent papers authored or coauthored by Mark F. J. Steel include:
Other papers in the dataset, though not authored by Steel, provide context on topics relevant to their field, indicating a broad engagement with statistical methodologies and inference techniques.
Mark F. J. Steel's publications and collaborations suggest an active engagement with advanced methodologies in Bayesian inference and model uncertainty, contributing to interdisciplinary applications across economics, finance, and statistical physical sciences.
Carmen Fernández;Mark F. J. Steel
Carmen Fernández;Eduardo Ley;Mark F.J. Steel
Carmen Fernández;Eduardo Ley;Mark F. J. Steel
Eduardo Ley;Mark F. J. Steel
Julien van den Broeck;Gary Koop;Jacek Osiewalski;Mark F.J Steel;Mark F.J Steel
Jim E. Griffin;Mark F. J. Steel
Gary Koop;Jacek Osiewalski;Mark F.J. Steel
Mark F. J. Steel
Carmen Fernández;Jacek Osiewalski;Mark F. J. Steel
Gary Koop;Mark F. Steel;Jacek Osiewalski
C. Fernández;M.F.J. Steel
Jim E. Griffin;Mark F. J. Steel
Carmen Fernández;Jacek Osiewalski;Mark F.J. Steel
Gary Koop;Jacek Osiewalski;Mark F. J. Steel
José T. A. S Ferreira;Mark F. J Steel
Gary Koop;Jacek Osiewalski;Mark F. J. Steel
Eduardo Ley;Mark F.J. Steel
Eduardo Ley;Mark F. J. Steel
Miguel A. Juárez;Mark F. J. Steel
Eduardo Ley;Mark F. J. Steel
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