Tom Minka

4.1k total citations · 1 hit paper
48 papers, 2.2k citations indexed

About

Tom Minka is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Tom Minka has authored 48 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 7 papers in Computer Networks and Communications. Recurrent topics in Tom Minka's work include Bayesian Modeling and Causal Inference (12 papers), Bayesian Methods and Mixture Models (8 papers) and Gaussian Processes and Bayesian Inference (8 papers). Tom Minka is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Bayesian Methods and Mixture Models (8 papers) and Gaussian Processes and Bayesian Inference (8 papers). Tom Minka collaborates with scholars based in United States, United Kingdom and Germany. Tom Minka's co-authors include Božidar Radunović, Romit Roy Choudhury, Souvik Sen, Rosalind W. Picard, John Guiver, Michael Taylor, Stephen Robertson, Peter Gehler, Carsten Rother and Andrew Blake and has published in prestigious journals such as Frontiers in Psychology, Behavior Research Methods and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Tom Minka

46 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

You are facing the Mona Lisa

2012 403 citations Souvik Sen, Božidar Radunović et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Minka United States	24	753	745	547	340	327	48	2.2k
Ian Davidson United States	33	925 1.2×	1.9k 2.5×	963 1.8×	351 1.0×	564 1.7×	201	3.9k
Patrice Simard United States	25	1.4k 1.8×	1.5k 2.0×	198 0.4×	316 0.9×	339 1.0×	35	3.1k
Éric Dubois Canada	31	2.1k 2.7×	561 0.8×	233 0.4×	588 1.7×	627 1.9×	241	3.9k
Maya R. Gupta United States	22	618 0.8×	811 1.1×	113 0.2×	105 0.3×	275 0.8×	93	1.9k
Tianqi Chen China	19	554 0.7×	717 1.0×	279 0.5×	574 1.7×	312 1.0×	61	1.8k
C.A. Murthy India	25	1.4k 1.8×	1.6k 2.2×	94 0.2×	326 1.0×	252 0.8×	104	3.1k
Abdullah M. Iliyasu Saudi Arabia	32	1.2k 1.6×	2.3k 3.1×	304 0.6×	413 1.2×	156 0.5×	105	3.8k
Rui Mao China	21	257 0.3×	556 0.7×	213 0.4×	222 0.7×	286 0.9×	138	1.5k
Jatin Chhugani United States	23	721 1.0×	644 0.9×	267 0.5×	483 1.4×	297 0.9×	39	3.0k
Sushil J. Louis United States	24	436 0.6×	990 1.3×	114 0.2×	100 0.3×	124 0.4×	135	1.9k

Countries citing papers authored by Tom Minka

Since Specialization

Citations

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

Fields of papers citing papers by Tom Minka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Minka

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Minka. A scholar is included among the top collaborators of Tom Minka 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 Tom Minka. Tom Minka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Winn, John, Matteo Venanzi, Tom Minka, et al.. (2021). Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities. 1 indexed citations

2.

Minka, Tom, et al.. (2020). Investigating immediacy in multiple-phase-change single-case experimental designs using a Bayesian unknown change-points model. Behavior Research Methods. 52(4). 1714–1728. 11 indexed citations

3.

Minka, Tom, et al.. (2017). Belief Propagation with Strings. 1 indexed citations

4.

Natesan, Prathiba, Ratna Nandakumar, Tom Minka, & Jonathan D. Rubright. (2016). Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes. Frontiers in Psychology. 7. 1422–1422. 42 indexed citations

5.

Maddison, Chris J., Daniel Tarlow, & Tom Minka. (2014). A* Sampling. Neural Information Processing Systems. 27. 3086–3094. 57 indexed citations

6.

Sen, Souvik, Božidar Radunović, Romit Roy Choudhury, & Tom Minka. (2012). Spot Localization using PHY Layer Information. 38 indexed citations

7.

Knowles, David A. & Tom Minka. (2011). Non-conjugate Variational Message Passing for Multinomial and Binary Regression. Neural Information Processing Systems. 24. 1701–1709. 43 indexed citations

8.

Zhu, Zeyuan Allen, et al.. (2010). A novel click model and its applications to online advertising. 321–330. 72 indexed citations

9.

Winn, John & Tom Minka. (2009). Probabilistic Programming with Infer.NET. 3 indexed citations

10.

Minka, Tom & John Winn. (2008). Gates: A Graphical Notation for Mixture Models. 18(6-7). 412–24. 17 indexed citations

11.

Taylor, Michael, John Guiver, Stephen Robertson, & Tom Minka. (2008). SoftRank. 77–77. 205 indexed citations

12.

Herbrich, Ralf, et al.. (2007). TrueSkill Through Time: Revisiting the History of Chess. HAL (Le Centre pour la Communication Scientifique Directe). 20. 337–344. 58 indexed citations

13.

Sutton, Charles & Tom Minka. (2006). Local Training and Belief Propagation. 10. 8 indexed citations

14.

Minka, Tom. (2006). The Dirichlet-tree distribution. 20 indexed citations

15.

Minka, Tom & Zoubin Ghahramani. (2004). Expectation Propagation for Infinite Mixtures. Neural Information Processing Systems. 9 indexed citations

16.

Rosenberg, Charles, et al.. (2003). Bayesian Color Constancy with Non-Gaussian Models. Neural Information Processing Systems. 16. 1595–1602. 52 indexed citations

17.

Qi, Yuan & Tom Minka. (2003). Tree-structured Approximations by Expectation Propagation. Neural Information Processing Systems. 16. 193–200. 44 indexed citations

18.

Minka, Tom. (2001). Using Lower Bounds to Approximate Integrals. 18 indexed citations

19.

Minka, Tom. (2000). Empirical Risk Minimization is an Incomplete Inductive Principle. 8 indexed citations

20.

Minka, Tom. (1998). Independence Diagrams. 2 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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