Sami Sieranoja

About

Sami Sieranoja is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Sami Sieranoja has authored 7 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Sami Sieranoja’s work include Advanced Clustering Algorithms Research (5 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Sami Sieranoja is often cited by papers focused on Advanced Clustering Algorithms Research (5 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Sami Sieranoja collaborates with scholars based in Finland. Sami Sieranoja's co-authors include Pasi Fränti, Tiina Laatikainen and Katja Wikström and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Applied Intelligence.

In The Last Decade

Co-authorship network of co-authors of Sami Sieranoja i

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Fields of papers citing papers by Sami Sieranoja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sami Sieranoja

Since Specialization

Citations

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