The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tom Minka sits on this spectrum.
This scientist: 117 publications — 14th percentile
14% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tom Minka sits on this spectrum.
This scientist: 55 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Tom Minka is affiliated with Microsoft in the United States and has contributed to the fields of Computer Science, with specific focus on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, and Developmental and Educational Psychology. Their research spans multiple interconnected areas within these disciplines.
Their work includes exploration of Optimal Experimental Design Methods, Statistical Methods in Clinical Trials, Behavioral and Psychological Studies, Topic Modeling, Bayesian Modeling and Causal Inference, and Natural Language Processing Techniques. This diverse range of topics reflects a multidisciplinary approach within the broader domain of computer science and applied statistics.
Tom Minka has co-authored research with several frequent collaborators, including Prathiba Natesan Batley, Larry V. Hedges, Cheng Zhang, Sebastian Bauer, and Paul N. Bennett. These collaborations indicate active participation in various research projects spanning experimental design, causal inference, and language modeling.
Their recent publications cover significant topics such as experimental design and causality using modern computational methods. Among the recent papers are:
Tom Minka's contributions have appeared in venues including Behavior Research Methods and arXiv (Cornell University), reflecting engagement both with established journals and preprint archives that support rapid dissemination of research.
Thomas P. Minka
Thomas P. Minka;Rosalind Picard
J. Winn;A. Criminisi;T. Minka
I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas
Thomas P. Minka
Ralf Herbrich;Tom Minka;Thore Graepel
Thomas P. Minka;Rosalind W. Picard
C. Rother;T. Minka;A. Blake;V. Kolmogorov
Thomas P. Minka
Galit Shmueli;Thomas P. Minka;Joseph B. Kadane;Sharad Borle
Thomas Minka
Souvik Sen;Božidar Radunovic;Romit Roy Choudhury;Tom Minka
Yi Zhang;Jamie Callan;Thomas Minka
Thomas Minka;John Lafferty
P.V. Gehler;C. Rother;A. Blake;T. Minka
J.A. Lasserre;C.M. Bishop;T.P. Minka
Michael Taylor;John Guiver;Stephen Robertson;Tom Minka
Tom Minka;Rosalind W. Picard
R. W. Picard;T. P. Minka
Thomas P. Minka
C Rother;TP Minka;A Blake;Kolmogorov
Tom Minka;John Winn
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