Alessio Spantini

8 papers and 214 indexed citations i.

About

Alessio Spantini is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Alessio Spantini has authored 8 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Alessio Spantini’s work include Gaussian Processes and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (3 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). Alessio Spantini is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (3 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). Alessio Spantini collaborates with scholars based in United States, Finland and Australia. Alessio Spantini's co-authors include Youssef Marzouk, Tiangang Cui, Luis Tenorio, J. L. Martín, James L. Martin, Antti Solonen, Olivier Zahm, Kody J. H. Law, Robert Scheichl and Karen Willcox and has published in prestigious journals such as Mathematics of Computation, SIAM Review and SIAM Journal on Scientific Computing.

In The Last Decade

Co-authorship network of co-authors of Alessio Spantini i

Fields of papers citing papers by Alessio Spantini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessio Spantini. 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 Alessio Spantini. The network helps show where Alessio Spantini may publish in the future.

Countries citing papers authored by Alessio Spantini

Since Specialization
Citations

This map shows the geographic impact of Alessio Spantini'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 Alessio Spantini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio Spantini more than expected).

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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