Sara Wade
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
-
- Bayesian Methods and Mixture Models 10
- Gaussian Processes and Bayesian Inference 6
-
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 4
- Markov Chains and Monte Carlo Methods 2
- Co-authors
- Zoubin Ghahramani (1 shared paper)Sonia Petrone (4 shared papers)Graciela Muñiz‐Terrera (1 shared paper)David H. Rehkopf (1 shared paper)Anja Leist (1 shared paper)Stéphane Bordas (1 shared paper)Stephen G. Walker (2 shared papers)David B. Dunson (1 shared paper)
- Journals
- Machine Learning (2 papers)Bayesian Analysis (2 papers)Alzheimer s & Dementia (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Scandinavian Journal of Statistics (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Sara Wade
20 papers receiving 375 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 109
- Health Informatics 9
- Artificial Intelligence 194
- Psychiatry and Mental health 63
- Geriatrics and Gerontology 9
Countries citing papers authored by Sara Wade
This map shows the geographic impact of Sara Wade'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 Sara Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Wade more than expected).
Fields of papers citing papers by Sara Wade
This network shows the impact of papers produced by Sara Wade. 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 Sara Wade. The network helps show where Sara Wade may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Wade, 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 | 2015 | 113 | |
| 2 | 2022 | 64 | |
| 3 | 2015 | 64 | |
| 4 | Improving prediction from dirichlet process mixtures via enrichment | 2014 | 28 |
| 5 | 2011 | 22 | |
| 6 | 2013 | 13 | |
| 7 | 2011 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2014 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2025 | 3 | |
| 13 | 2021 | 3 | |
| 14 | Enriched mixtures of generalised Gaussian process experts. | 2020 | 2 |
| 15 | Bayesian Nonparametric Regression through Mixture Models | 2013 | 2 |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Sara Wade
Sara Wade is a scholar working on Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics, Physiology and Psychiatry and Mental health, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers), Alzheimer's disease research and treatments (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Statistics and Probability (109 citations), Health Informatics (9 citations), Artificial Intelligence (194 citations), Psychiatry and Mental health (63 citations) and Geriatrics and Gerontology (9 citations). Sara Wade has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Zoubin Ghahramani, Sonia Petrone, Graciela Muñiz‐Terrera, David H. Rehkopf, Anja Leist, Stéphane Bordas, Stephen G. Walker, David B. Dunson, Lorenzo Trippa and Anna Caroli. Their work appears in journals such as Machine Learning, Bayesian Analysis, Alzheimer s & Dementia, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Scandinavian Journal of Statistics.
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.