Tomi Silander

37 papers and 744 indexed citations i.

About

Tomi Silander is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomi Silander has authored 37 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomi Silander’s work include Bayesian Modeling and Causal Inference (11 papers), Reinforcement Learning in Robotics (5 papers) and Machine Learning and Data Classification (5 papers). Tomi Silander is often cited by papers focused on Bayesian Modeling and Causal Inference (11 papers), Reinforcement Learning in Robotics (5 papers) and Machine Learning and Data Classification (5 papers). Tomi Silander collaborates with scholars based in Finland, Singapore and United States. Tomi Silander's co-authors include Petri Myllymäki, Kirsi Tirri, Petri Kontkanen, Tze-Yun Leong, Russell S. Thomas, Stevan Jovanovich, Sharron G. Penn, David R. Rank, Kevin Hayes and Janardan K. Reddy and has published in prestigious journals such as Bioinformatics, Scientific Reports and Molecular Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Tomi Silander i

Fields of papers citing papers by Tomi Silander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomi Silander

Since Specialization
Citations

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