Sara Wade

643 total citations
20 papers, 378 citations indexed

About

Sara Wade is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Sara Wade has authored 20 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 2 papers in Computational Theory and Mathematics. Recurrent topics in Sara Wade's work include Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (6 papers) and Statistical Methods and Inference (5 papers). Sara Wade is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (6 papers) and Statistical Methods and Inference (5 papers). Sara Wade collaborates with scholars based in United Kingdom, Italy and United States. Sara Wade's co-authors include Zoubin Ghahramani, Sonia Petrone, Anja Leist, Graciela Muñiz‐Terrera, David H. Rehkopf, Stéphane Bordas, Stephen G. Walker, David B. Dunson, Lorenzo Trippa and Anna Caroli and has published in prestigious journals such as Journal of the American Statistical Association, Science Advances and Machine Learning.

In The Last Decade

Sara Wade

20 papers receiving 375 citations

Peers

Sara Wade

PMH

PHYSI

Hölger Hoefling Switzerland

Rolando de la Cruz Chile

Jianfu Li United States

Aaron Fisher United States

Monica Chiogna Italy

Huazhen Lin China

Ester Pantaleo Italy

Annaliisa Kankainen Finland

Zhigen Zhao United States

Hölger Hoefling Switzerland

Sara Wade

67 ×0.3

79 ×0.7

22 ×0.3

PMH

22 ×0.4

PHYSI

47 ×1.3

Citations per year, relative to Sara Wade Sara Wade (= 1×) peers Hölger Hoefling

Countries citing papers authored by Sara Wade

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sara Wade

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Wade. A scholar is included among the top collaborators of Sara Wade 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 Sara Wade. Sara Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wade, Sara, et al.. (2025). Bayesian Dependent Mixture Models: A Predictive Comparison and Survey. Statistical Science. 40(1). 3 indexed citations

Law, Kody J. H., et al.. (2024). Fast deep mixtures of Gaussian process experts. Machine Learning. 113(3). 1483–1508. 1 indexed citations

Wade, Sara, et al.. (2024). Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process. Econometrics and Statistics. 1 indexed citations

Wade, Sara. (2023). Bayesian cluster analysis. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2247). 20220149–20220149. 12 indexed citations

Leist, Anja, et al.. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances. 8(42). eabk1942–eabk1942. 64 indexed citations

Wade, Sara, et al.. (2022). Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. Journal of Computational and Graphical Statistics. 32(2). 588–600. 1 indexed citations

Wade, Sara, et al.. (2021). Pseudo-marginal Bayesian inference for Gaussian process latent variable models. Machine Learning. 110(6). 1105–1143. 3 indexed citations

Wade, Sara, et al.. (2020). Enriched mixtures of generalised Gaussian process experts.. Aaltodoc (Aalto University). 3144–3154. 2 indexed citations

Argiento, Raffaele, Daniele Durante, & Sara Wade. (2019). Bayesian Statistics and New Generations. Springer proceedings in mathematics & statistics. 2 indexed citations

10.

Wade, Sara, et al.. (2019). . arXiv (Cornell University). 2 indexed citations

11.

Roininen, Lassi, et al.. (2018). arXiv (Cornell University). 10 indexed citations

12.

Prestia, Annapaola, Anna Caroli, Sara Wade, et al.. (2015). Prediction of AD dementia by biomarkers following the NIA‐AA and IWG diagnostic criteria in MCI patients from three European memory clinics. Alzheimer s & Dementia. 11(10). 1191–1201. 64 indexed citations

13.

Wade, Sara & Zoubin Ghahramani. (2015). . arXiv (Cornell University). 113 indexed citations

14.

Wade, Sara, David B. Dunson, Sonia Petrone, & Lorenzo Trippa. (2014). Improving prediction from dirichlet process mixtures via enrichment. Journal of Machine Learning Research. 15(1). 1041–1071. 28 indexed citations

15.

Caroli, Anna, Annapaola Prestia, Sara Wade, et al.. (2014). Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI. Alzheimer Disease & Associated Disorders. 29(2). 101–109. 11 indexed citations

16.

Wade, Sara, et al.. (2014). A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease. Journal of the American Statistical Association. 109(506). 477–490. 11 indexed citations

17.

Wade, Sara. (2013). Bayesian Nonparametric Regression through Mixture Models. 2 indexed citations

18.

Wade, Sara, Stephen G. Walker, & Sonia Petrone. (2013). A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting. Scandinavian Journal of Statistics. 41(3). 580–605. 13 indexed citations

19.

Wade, Sara, et al.. (2011). An enriched conjugate prior for Bayesian nonparametric inference. Bayesian Analysis. 6(3). 359–385. 22 indexed citations

20.

Wade, Sara, et al.. (2011). An enriched conjugate prior for Bayesian nonparametric inference. Bayesian Analysis. 6(3). 13 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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