Tapani Raiko

About

Tapani Raiko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tapani Raiko has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Tapani Raiko’s work include Generative Adversarial Networks and Image Synthesis (12 papers), Neural Networks and Applications (9 papers) and Bayesian Methods and Mixture Models (6 papers). Tapani Raiko is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (12 papers), Neural Networks and Applications (9 papers) and Bayesian Methods and Mixture Models (6 papers). Tapani Raiko collaborates with scholars based in Finland, Denmark and Germany. Tapani Raiko's co-authors include Alexander Ilin, Kyunghyun Cho, Mathias Berglund, Casper Kaae Sønderby, Lars Maaløe, Søren Kaae Sønderby, Ole Winther, Klaus Greff, Jelena Luketina and Harri Valpola and has published in prestigious journals such as Neural Computation, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Tapani Raiko i

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Fields of papers citing papers by Tapani Raiko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tapani Raiko

Since Specialization

Citations

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