Topi Paananen

4 papers and 32 indexed citations i.

About

Topi Paananen is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Topi Paananen has authored 4 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Statistics, Probability and Uncertainty and 1 paper in Artificial Intelligence. Recurrent topics in Topi Paananen’s work include Probabilistic and Robust Engineering Design (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Topi Paananen is often cited by papers focused on Probabilistic and Robust Engineering Design (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Topi Paananen collaborates with scholars based in Finland and Germany. Topi Paananen's co-authors include Paul‐Christian Bürkner, Aki Vehtari, Juho Piironen, Mikko J. Alava, Noa Kallioinen, Markus Ovaska and Lasse Laurson and has published in prestigious journals such as Statistics and Computing, Journal of Statistical Mechanics Theory and Experiment and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Topi Paananen i

Fields of papers citing papers by Topi Paananen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Topi Paananen

Since Specialization
Citations

This map shows the geographic impact of Topi Paananen'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 Topi Paananen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Topi Paananen 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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2025