Chrysoula Zerva

13 papers and 80 indexed citations i.

About

Chrysoula Zerva is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chrysoula Zerva has authored 13 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Chrysoula Zerva’s work include Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Natural Language Processing Techniques (6 papers). Chrysoula Zerva is often cited by papers focused on Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Natural Language Processing Techniques (6 papers). Chrysoula Zerva collaborates with scholars based in United Kingdom, Portugal and Vietnam. Chrysoula Zerva's co-authors include Sophia Ananiadou, Riza Batista-Navarro, Philip J. Day, Ricardo Rei, Nhung T. H. Nguyen, André F. T. Martins, José G. C. de Souza, Tânia Vaz, Beatriz Silva and Constantin Orăsan and has published in prestigious journals such as Bioinformatics, Scientometrics and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Chrysoula Zerva i

Fields of papers citing papers by Chrysoula Zerva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chrysoula Zerva

Since Specialization
Citations

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