Nikos Vlassis

55 papers and 4.4k indexed citations i.

About

Nikos Vlassis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nikos Vlassis has authored 55 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Nikos Vlassis’s work include Reinforcement Learning in Robotics (13 papers), Bayesian Methods and Mixture Models (8 papers) and Machine Learning and Algorithms (6 papers). Nikos Vlassis is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Bayesian Methods and Mixture Models (8 papers) and Machine Learning and Algorithms (6 papers). Nikos Vlassis collaborates with scholars based in The Netherlands, Luxembourg and United States. Nikos Vlassis's co-authors include Jakob Verbeek, Aristidis Likas, Matthijs T. J. Spaan, Ben Kröse, Jelle R. Kok, Thomas Sauter, Maria Pires Pacheco, Paul Wilmes, Yoichi Motomura and Cédric C. Laczny and has published in prestigious journals such as Bioinformatics, Scientific Reports and Trends in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Nikos Vlassis i

Fields of papers citing papers by Nikos Vlassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nikos Vlassis

Since Specialization
Citations

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