Topi Paananen

611 total citations
5 papers, 89 citations indexed

About

Topi Paananen is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Topi Paananen has authored 5 papers receiving a total of 89 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 Statistical and Nonlinear Physics. Recurrent topics in Topi Paananen's work include Statistical Methods and Bayesian Inference (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Statistical Methods and Inference (2 papers). Topi Paananen is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Probabilistic and Robust Engineering Design (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 Aki Vehtari, Paul‐Christian Bürkner, Yuling Yao, Jonah Gabry, Andrew Gelman, Måns Magnusson, Juho Piironen, Markus Ovaska, Noa Kallioinen 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

Topi Paananen

5 papers receiving 88 citations

Peers

Topi Paananen
Comparison fields: 5 of 66
  • Ecology 21
  • Statistics and Probability 18
  • Nature and Landscape Conservation 14
  • Global and Planetary Change 14
  • Artificial Intelligence 13
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Citations per field, relative to Topi Paananen
Topi Paananen · 1×
Citations per year, relative to Topi Paananen
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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).

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.

Co-authorship network of co-authors of Topi Paananen

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 9
2 20
3
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models [R package loo version 2.4.1]
53
4
Pushing the Limits of Importance Sampling through Iterative Moment Matching
1
5 6

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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