Mark Huber

2.2k total citations
36 papers, 434 citations indexed

About

Mark Huber is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Mark Huber has authored 36 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 13 papers in Mathematical Physics. Recurrent topics in Mark Huber's work include Markov Chains and Monte Carlo Methods (24 papers), Stochastic processes and statistical mechanics (13 papers) and Bayesian Methods and Mixture Models (11 papers). Mark Huber is often cited by papers focused on Markov Chains and Monte Carlo Methods (24 papers), Stochastic processes and statistical mechanics (13 papers) and Bayesian Methods and Mixture Models (11 papers). Mark Huber collaborates with scholars based in United States and Denmark. Mark Huber's co-authors include Dawn B. Woodard, Scott C. Schmidler, James Allen Fill, Robert L. Wolpert, David G. Schaeffer, Joshua E. S. Socolar, Jesper Möller, Brian P. Tighe, Yuguo Chen and Adrian Dobra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and Systematic Biology.

In The Last Decade

Mark Huber

34 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Huber United States 12 246 170 108 49 35 36 434
Ravi Montenegro United States 7 157 0.6× 79 0.5× 107 1.0× 23 0.5× 20 0.6× 17 322
Ronen Eldan Israel 10 109 0.4× 136 0.8× 75 0.7× 26 0.5× 25 0.7× 27 397
Pierre-André Zitt France 10 185 0.8× 54 0.3× 136 1.3× 28 0.6× 54 1.5× 23 401
Luc Rey-Bellet United States 13 107 0.4× 57 0.3× 185 1.7× 104 2.1× 35 1.0× 38 665
Nathan Ross Australia 9 132 0.5× 80 0.5× 103 1.0× 10 0.2× 17 0.5× 23 351
Raúl Gouet Chile 10 114 0.5× 73 0.4× 128 1.2× 42 0.9× 15 0.4× 32 299
Peter E. Castro United States 6 130 0.5× 73 0.4× 109 1.0× 18 0.4× 26 0.7× 7 386
Vlada Limic United States 12 244 1.0× 81 0.5× 467 4.3× 189 3.9× 74 2.1× 25 674
Peter H. Peskun Canada 7 227 0.9× 128 0.8× 58 0.5× 39 0.8× 21 0.6× 9 342
François Bolley France 13 168 0.7× 47 0.3× 171 1.6× 102 2.1× 53 1.5× 24 787

Countries citing papers authored by Mark Huber

Since Specialization
Citations

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

Fields of papers citing papers by Mark Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Huber. A scholar is included among the top collaborators of Mark Huber 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 Mark Huber. Mark Huber 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.
Huber, Mark. (2019). An optimal (ϵ,δ)‐randomized approximation scheme for the mean of random variables with bounded relative variance. Random Structures and Algorithms. 55(2). 356–370. 3 indexed citations
2.
Huber, Mark, et al.. (2017). Fast perfect simulation of Vervaat perpetuities. Journal of Complexity. 42. 19–30. 5 indexed citations
3.
Huber, Mark. (2016). Nearly Optimal Bernoulli Factories for Linear Functions. Combinatorics Probability Computing. 25(4). 577–591. 8 indexed citations
4.
Huber, Mark. (2016). Perfect Simulation. 7 indexed citations
5.
Huber, Mark. (2015). Approximation algorithms for the normalizing constant of Gibbs distributions. The Annals of Applied Probability. 25(2). 16 indexed citations
6.
Huber, Mark. (2014). Near-linear time simulation of linear extensions of a height-2 poset with bounded interaction.. 2014. 5 indexed citations
7.
Huber, Mark, et al.. (2012). Simulation reduction of the Ising model to general matchings. Electronic Journal of Probability. 17(none). 1 indexed citations
8.
Huber, Mark. (2011). Simulation Reductions for the Ising Model. Journal of Statistical Theory and Practice. 5(3). 413–424. 1 indexed citations
9.
Möller, Jesper, Mark Huber, & Robert L. Wolpert. (2010). Perfect simulation and moment properties for the Matérn type III process. Stochastic Processes and their Applications. 120(11). 2142–2158. 20 indexed citations
10.
Huber, Mark & Robert L. Wolpert. (2009). Likelihood-based inference for Matérn type-III repulsive point processes. Advances in Applied Probability. 41(4). 958–977. 7 indexed citations
11.
Woodard, Dawn B., Scott C. Schmidler, & Mark Huber. (2009). Sufficient Conditions for Torpid Mixing of Parallel and Simulated Tempering. Electronic Journal of Probability. 14(none). 30 indexed citations
12.
Huber, Mark, et al.. (2008). Fast approximation of the permanent for very dense problems. Symposium on Discrete Algorithms. 681–689. 9 indexed citations
13.
Huber, Mark. (2008). Perfect simulation with exponential tails on the running time. Random Structures and Algorithms. 33(1). 29–43.
14.
Huber, Mark. (2006). Fast perfect sampling from linear extensions. Discrete Mathematics. 306(4). 420–428. 24 indexed citations
15.
Tighe, Brian P., et al.. (2005). Force distributions in a triangular lattice of rigid bars. Physical Review E. 72(3). 31306–31306. 33 indexed citations
16.
Huber, Mark, et al.. (2005). Monte Carlo Algorithms for Hardy–Weinberg Proportions. Biometrics. 62(1). 49–53. 22 indexed citations
17.
Huber, Mark. (2005). Exact Sampling from Perfect Matchings of Dense Regular Bipartite Graphs. Algorithmica. 44(3). 183–193. 6 indexed citations
18.
Huber, Mark. (2004). Perfect sampling using bounding chains. The Annals of Applied Probability. 14(2). 43 indexed citations
19.
Huber, Mark. (2000). A faster method for sampling independent sets. Symposium on Discrete Algorithms. 625–626. 3 indexed citations
20.
Huber, Mark. (1999). Efficient exact sampling from the Ising model using Swendsen-Wang. Symposium on Discrete Algorithms. 921–922. 10 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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