Victoria Nebot

13 papers and 209 indexed citations i.

About

Victoria Nebot is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Victoria Nebot has authored 13 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Victoria Nebot’s work include Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Data Quality and Management (4 papers). Victoria Nebot is often cited by papers focused on Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Data Quality and Management (4 papers). Victoria Nebot collaborates with scholars based in Spain, Denmark and United States. Victoria Nebot's co-authors include Rafael Berlanga, María José Aramburu, Alberto Abelló, Alkis Simitsis, Oscar Romero, Torben Bach Pedersen, Ernesto Jiménez-Ruiz and Ismael Sanz and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Victoria Nebot i

Fields of papers citing papers by Victoria Nebot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victoria Nebot

Since Specialization
Citations

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