Jurica Levatić

About

Jurica Levatić is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jurica Levatić has authored 14 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Jurica Levatić’s work include Machine Learning and Data Classification (4 papers), Computational Drug Discovery Methods (3 papers) and Text and Document Classification Technologies (3 papers). Jurica Levatić is often cited by papers focused on Machine Learning and Data Classification (4 papers), Computational Drug Discovery Methods (3 papers) and Text and Document Classification Technologies (3 papers). Jurica Levatić collaborates with scholars based in Slovenia, Italy and Spain. Jurica Levatić's co-authors include Sašo Džeroski, Dragi Kocev, Michelangelo Ceci, Fran Supek, Tomislav Šmuc, Marijeta Kralj, Maja Osmak, Jasna Ćurak, Matej Petković and Nikola Simidjievski and has published in prestigious journals such as Journal of Medicinal Chemistry, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jurica Levatić i

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Fields of papers citing papers by Jurica Levatić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jurica Levatić

Since Specialization

Citations

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