Paul D. McNicholas
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 24
- Statistical Methods and Inference 13
- Statistical Distribution Estimation and Applications 8
- Advanced Statistical Methods and Models 7
- Artificial Intelligence top 0.5%
- Bayesian Methods and Mixture Models 68
- Advanced Clustering Algorithms Research 36
- Computational Mathematics top 5%
- Geriatrics and Gerontology top 2%
- Signal Processing top 5%
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- Gene expression and cancer classification 15
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- Sensory Analysis and Statistical Methods 6
- Co-authors
- Thomas Brendan MurphyRyan P. BrowneJeffrey L. AndrewsSanjeena SubediStuart M. PhillipsBrian C. FranczakLehana ThabaneAlexandra Mayhew
- Journals
- Bioinformatics (2 papers)PLoS ONE (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Paul D. McNicholas
102 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Statistics and Probability 984
- Artificial Intelligence 1.7k
- Computational Mathematics 21
- Geriatrics and Gerontology 137
- Signal Processing 215
Countries citing papers authored by Paul D. McNicholas
This map shows the geographic impact of Paul D. McNicholas'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 Paul D. McNicholas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. McNicholas more than expected).
Fields of papers citing papers by Paul D. McNicholas
This network shows the impact of papers produced by Paul D. McNicholas. 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 Paul D. McNicholas. The network helps show where Paul D. McNicholas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul D. McNicholas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 48 | |
| 13 | Flexible clustering of high-dimensional data via mixtures of joint generalized hyperbolic distributions: Mixtures of joint generalized hyperbolic distributions | 2018 | 3 |
| 14 | 2017 | 16 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 26 | |
| 18 | Mixtures of Multiple Scaled Generalized Hyperbolic Distributions | 2014 | 2 |
| 19 | Robust Clustering via Parsimonious Mixtures of Contaminated Gaussian Distributions | 2013 | 2 |
| 20 | On Model-Based Clustering, Classification, and Discriminant Analysis | 2011 | 7 |
About Paul D. McNicholas
Paul D. McNicholas is a scholar working on Statistics and Probability, Artificial Intelligence and Geriatrics and Gerontology, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (68 papers), Advanced Clustering Algorithms Research (36 papers), Statistical Methods and Bayesian Inference (24 papers), Gene expression and cancer classification (15 papers), Statistical Methods and Inference (13 papers), Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (7 papers) and Sensory Analysis and Statistical Methods (6 papers). The work is most often cited by research in Statistics and Probability (984 citations), Artificial Intelligence (1.7k citations) and Computational Mathematics (21 citations). Paul D. McNicholas has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Thomas Brendan Murphy, Ryan P. Browne, Jeffrey L. Andrews, Sanjeena Subedi, Stuart M. Phillips, Brian C. Franczak, Lehana Thabane, Alexandra Mayhew, Parminder Raina and Gianni Parise. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.