Elpida Keravnou

35 papers and 435 indexed citations i.

About

Elpida Keravnou is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Elpida Keravnou has authored 35 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Elpida Keravnou’s work include AI-based Problem Solving and Planning (18 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (8 papers). Elpida Keravnou is often cited by papers focused on AI-based Problem Solving and Planning (18 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (8 papers). Elpida Keravnou collaborates with scholars based in Cyprus, United Kingdom and Italy. Elpida Keravnou's co-authors include John Washbrook, Athena Stassopoulou, Carlo Combi, Klaus-Peter Adlassnig, Giuseppe Pozzi, Amar K. Das, Leslie Main Johnson, Arianna Dagliati, Riccardo Bellazzi and Lucia Sacchi and has published in prestigious journals such as Computer Physics Communications, Knowledge-Based Systems and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Elpida Keravnou i

Fields of papers citing papers by Elpida Keravnou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elpida Keravnou

Since Specialization
Citations

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