Scott A. Sisson

7.1k citations
122 papers · 4.9k · 1 hit paper · h-index 34

Impact in

Papers in

Scott A. Sisson

117 papers receiving 4.7k citations

Scott A. Sisson's Hit Papers

Machine Learning in Polymer Research 2025 · 92 citations
920Years since publication255075

Peers

Scott A. Sisson
Comparison fields: 5 of 154
  • Statistics and Probability 1.5k
  • Global and Planetary Change 918
  • Water Science and Technology 489
  • Applied Mathematics 312
  • Management Science and Operations Research 344
Replace Clifford M. Hurvich with:
Clifford M. Hurvich United States
Anthony N. Pettitt Australia
Hans Rudolf Künsch Switzerland
Robert Lund United States
David Higdon United States
Juan José Egozcue Spain
Christopher K. Wikle United States
Kung‐Sik Chan United States
Toleti Subba Rao India
Brian J. Reich United States
Scott A. Sisson relative to Clifford M. Hurvich United States Clifford M. Hurvich's profile →
Citations per field
00.5×2×2.6×
Clifford M. Hurvich · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Scott A. Sisson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott A. Sisson Line = papers co-authored together Scott A. Sisson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007555
2 2018289
3 2010286
4 2013237
5 2003229
6 2004186
7 2013172
8 2014151
9 2011144
10 2010140
11 2009124
12 2005116
13 2013115
14 2020109
15 2006106
16
Machine Learning in Polymer Research
Hit paper breakdown →
202592
17 200788
18 201088
19 201161
20 202055

About Scott A. Sisson

Scott A. Sisson is a scholar working on Statistics and Probability, Global and Planetary Change, Artificial Intelligence, Management Science and Operations Research and Water Science and Technology, having authored 122 papers that have together received 4.9k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (33 papers), Statistical Distribution Estimation and Applications (14 papers), Probability and Risk Models (9 papers), Climate variability and models (7 papers), Hydrology and Watershed Management Studies (6 papers), Point processes and geometric inequalities (6 papers), Bayesian Methods and Mixture Models (6 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Global and Planetary Change (918 citations), Water Science and Technology (489 citations), Applied Mathematics (312 citations) and Management Science and Operations Research (344 citations). Scott A. Sisson has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Yanan Fan, Mark M. Tanaka, Seth Westra, Stuart Coles, Simone A. Padoan, Feifei Zheng, Mathieu Ribatet, Luis R. Pericchi, Dennis Prangle and Ashish Sharma. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics and Computing, Journal of Computational and Graphical Statistics, Water Research and Water Resources Research.

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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