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.
Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
2014734 citationsSuchi Saria et al.Health Affairsprofile →
Do no harm: a roadmap for responsible machine learning for health care
This map shows the geographic impact of Suchi Saria'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 Suchi Saria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suchi Saria more than expected).
This network shows the impact of papers produced by Suchi Saria. 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 Suchi Saria. The network helps show where Suchi Saria may publish in the future.
Co-authorship network of co-authors of Suchi Saria
This figure shows the co-authorship network connecting the top 25 collaborators of Suchi Saria.
A scholar is included among the top collaborators of Suchi Saria 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 Suchi Saria. Suchi Saria is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Subbaswamy, Adarsh, Roy J. Adams, & Suchi Saria. (2021). Evaluating Model Robustness and Stability to Dataset Shift. International Conference on Artificial Intelligence and Statistics. 2611–2619.2 indexed citations
Schulam, Peter & Suchi Saria. (2017). What-If Reasoning with Counterfactual Gaussian Processes. arXiv (Cornell University).1 indexed citations
16.
Schulam, Peter & Suchi Saria. (2017). What-If Reasoning using Counterfactual Gaussian Processes. arXiv (Cornell University). 1696–1706.1 indexed citations
17.
Xu, Yanbo, et al.. (2016). A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves. 282–300.5 indexed citations
18.
Schulam, Peter & Suchi Saria. (2016). Integrative analysis using coupled latent variable models for individualizing prognoses. Journal of Machine Learning Research. 17(1). 8244–8278.6 indexed citations
19.
Jojic, Vladimir, Suchi Saria, & Daphne Koller. (2011). Convex envelopes of complexity controlling penalties: the case against premature envelopment. International Conference on Artificial Intelligence and Statistics. 15. 399–406.12 indexed citations
20.
Saria, Suchi & Sridhar Mahadevan. (2004). Probabilistic plan recognition in multiagent systems. International Conference on Automated Planning and Scheduling. 287–296.29 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.