Vassilina Nikoulina

14 papers and 59 indexed citations i.

About

Vassilina Nikoulina is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Vassilina Nikoulina has authored 14 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Vassilina Nikoulina’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (5 papers). Vassilina Nikoulina is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (5 papers). Vassilina Nikoulina collaborates with scholars based in South Korea, France and Switzerland. Vassilina Nikoulina's co-authors include Alexandre Bérard, Christof Monz, Marc Dymetman, Caroline Brun, James Henderson, Laurent Besacier, Vilijandas Bagdonavičius, Matthias Gallé, Jean-Luc Meunier and Attila D. Sándor and has published in prestigious journals such as Journal of Artificial Intelligence Research, UCL Discovery (University College London) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Vassilina Nikoulina i

Fields of papers citing papers by Vassilina Nikoulina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vassilina Nikoulina

Since Specialization
Citations

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