Scott A. Sisson

6.7k total citations · 1 hit paper
107 papers, 3.8k citations indexed

About

Scott A. Sisson is a scholar working on Artificial Intelligence, Statistics and Probability and Global and Planetary Change. According to data from OpenAlex, Scott A. Sisson has authored 107 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 38 papers in Statistics and Probability and 21 papers in Global and Planetary Change. Recurrent topics in Scott A. Sisson's work include Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (19 papers) and Markov Chains and Monte Carlo Methods (16 papers). Scott A. Sisson is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (19 papers) and Markov Chains and Monte Carlo Methods (16 papers). Scott A. Sisson collaborates with scholars based in Australia, United States and China. Scott A. Sisson's co-authors include Yanan Fan, Mark M. Tanaka, Seth Westra, Stuart Coles, Feifei Zheng, Simone A. Padoan, Luis R. Pericchi, Mathieu Ribatet, Gareth W. Peters and Ashish Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of the American Statistical Association.

In The Last Decade

Scott A. Sisson

104 papers receiving 3.6k citations

Hit Papers

Machine Learning in Polymer Research 2025 2026 2025 10 20 30 40
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.

  1. Machine Learning in Polymer Research
    2025 43 citations Yanan Fan, Scott A. Sisson et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Sisson Australia 29 1.2k 938 870 533 433 107 3.8k
Heikki Haario Finland 31 667 0.5× 741 0.8× 848 1.0× 424 0.8× 361 0.8× 161 5.8k
Jennifer A. Hoeting United States 22 706 0.6× 1.1k 1.2× 813 0.9× 236 0.4× 289 0.7× 54 5.2k
David Higdon United States 32 625 0.5× 790 0.8× 911 1.0× 319 0.6× 420 1.0× 71 5.3k
Hans R. Künsch Switzerland 30 784 0.6× 1.2k 1.2× 682 0.8× 606 1.1× 259 0.6× 66 4.2k
A. N. Pettitt Australia 36 2.3k 1.8× 1.7k 1.8× 1.0k 1.2× 887 1.7× 1.4k 3.1× 150 7.6k
Brian J. Reich United States 39 867 0.7× 1.3k 1.4× 774 0.9× 357 0.7× 92 0.2× 214 5.3k
Robert A. Koyak United States 5 1.1k 0.9× 1.2k 1.3× 618 0.7× 339 0.6× 130 0.3× 11 6.2k
Rana Moyeed United Kingdom 20 449 0.4× 885 0.9× 615 0.7× 182 0.3× 160 0.4× 32 4.0k
Sujit K. Ghosh United States 27 553 0.4× 763 0.8× 379 0.4× 384 0.7× 152 0.4× 159 2.6k
Robert Lund United States 32 2.9k 2.4× 1.1k 1.2× 633 0.7× 2.1k 3.9× 320 0.7× 137 7.5k

Countries citing papers authored by Scott A. Sisson

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Sisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Sisson. 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 Scott A. Sisson. The network helps show where Scott A. Sisson may publish in the future.

Co-authorship network of co-authors of Scott A. Sisson

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Sisson. A scholar is included among the top collaborators of Scott A. Sisson 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 Scott A. Sisson. Scott A. Sisson 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.
Sisson, Scott A., et al.. (2025). Modelling time series with temporal and spatial correlations in transport planning using hierarchical ARIMA-copula Model: A Bayesian approach. Expert Systems with Applications. 274. 126977–126977. 1 indexed citations
2.
Sisson, Scott A., et al.. (2022). Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries. IEEE Transactions on Signal and Information Processing over Networks. 8. 571–583.
3.
Lin, Huan, et al.. (2022). New models for symbolic data analysis. Advances in Data Analysis and Classification. 17(3). 659–699. 9 indexed citations
4.
Lin, Huan, M. Julian Caley, & Scott A. Sisson. (2022). Estimating global species richness using symbolic data meta‐analysis. Ecography. 2022(3). 5 indexed citations
5.
Man, Nicola, Agata Chrzanowska, Olivia Price, et al.. (2021). Trends in cocaine use, markets and harms in Australia, 2003–2019. Drug and Alcohol Review. 40(6). 946–956. 16 indexed citations
6.
Sisson, Scott A., et al.. (2021). Efficient Bayesian Synthetic Likelihood With Whitening Transformations. Journal of Computational and Graphical Statistics. 31(1). 50–63. 9 indexed citations
7.
Li, Bin, et al.. (2021). Continuous-time edge modelling using non-parametric point processes. Neural Information Processing Systems. 34. 1 indexed citations
8.
Ghasri, Milad, et al.. (2020). Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction. Transportmetrica A Transport Science. 16(3). 1552–1573. 91 indexed citations
9.
Xie, Hong-Bo, et al.. (2020). Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Transactions on Signal Processing. 68. 3860–3870. 11 indexed citations
10.
Nott, David J., et al.. (2020). Likelihood-free approximate Gibbs sampling. Statistics and Computing. 30(4). 1057–1073. 13 indexed citations
11.
Sisson, Scott A., et al.. (2019). Constructing likelihood functions for interval‐valued random variables. Scandinavian Journal of Statistics. 47(1). 1–35. 13 indexed citations
12.
Li, Bin, et al.. (2019). Binary Space Partitioning Forest. arXiv (Cornell University). 3022–3031. 2 indexed citations
13.
Xie, Hong-Bo, et al.. (2019). Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein’s Unbiased Risk Estimator. IEEE Transactions on Image Processing. 28(10). 4899–4911. 11 indexed citations
14.
Duong, Tarn, et al.. (2018). Tail density estimation for exploratory data analysis using kernel methods. Journal of nonparametric statistics. 31(1). 144–174. 6 indexed citations
15.
Quiroz, Matias, et al.. (2018). On some variance reduction properties of the reparameterization trick.. arXiv (Cornell University). 1 indexed citations
16.
Sisson, Scott A., David J. Roser, Ben van den Akker, et al.. (2017). Virus removal by ultrafiltration: Understanding long-term performance change by application of Bayesian analysis. Water Research. 122. 269–279. 17 indexed citations
17.
Roser, David J., et al.. (2016). Bayesian belief network modelling of chlorine disinfection for human pathogenic viruses in municipal wastewater. Water Research. 109. 144–154. 25 indexed citations
18.
Roser, David J., et al.. (2015). Modelling pathogen log10 reduction values achieved by activated sludge treatment using naïve and semi naïve Bayes network models. Water Research. 85. 304–315. 20 indexed citations
19.
Peters, Gareth W., Scott A. Sisson, & Yanan Fan. (2009). Likelihood-Free Bayesian Inference for -Stable Models. SSRN Electronic Journal. 27 indexed citations
20.
Peters, Gareth W. & Scott A. Sisson. (2006). Bayesian Inference, Monte Carlo Sampling and Operational Risk.. SSRN Electronic Journal. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Heikki Haario Breakdown of academic impact, for papers by Jennifer A. Hoeting Breakdown of academic impact, for papers by David Higdon Breakdown of academic impact, for papers by Hans R. Künsch Breakdown of academic impact, for papers by A. N. Pettitt Breakdown of academic impact, for papers by Brian J. Reich Breakdown of academic impact, for papers by Robert A. Koyak Breakdown of academic impact, for papers by Rana Moyeed Breakdown of academic impact, for papers by Sujit K. Ghosh Breakdown of academic impact, for papers by Robert Lund
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