Aki Vehtari

131 papers and 13.1k indexed citations i.

About

Aki Vehtari is a scholar working on Artificial Intelligence, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Aki Vehtari has authored 131 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 54 papers in Statistics and Probability and 15 papers in Control and Systems Engineering. Recurrent topics in Aki Vehtari’s work include Gaussian Processes and Bayesian Inference (42 papers), Statistical Methods and Inference (35 papers) and Statistical Methods and Bayesian Inference (31 papers). Aki Vehtari is often cited by papers focused on Gaussian Processes and Bayesian Inference (42 papers), Statistical Methods and Inference (35 papers) and Statistical Methods and Bayesian Inference (31 papers). Aki Vehtari collaborates with scholars based in Finland, United States and Germany. Aki Vehtari's co-authors include Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson, Jonah Gabry, Jessica Hwang, Jouko Lampinen, Juho Piironen and Ben Goodrich and has published in prestigious journals such as The Journal of Chemical Physics, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Aki Vehtari i

Fields of papers citing papers by Aki Vehtari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aki Vehtari

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025