Jurica Ševa

About

Jurica Ševa is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jurica Ševa has authored 13 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Jurica Ševa’s work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (4 papers) and Genomics and Rare Diseases (3 papers). Jurica Ševa is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (4 papers) and Genomics and Rare Diseases (3 papers). Jurica Ševa collaborates with scholars based in Germany, United Kingdom and Croatia. Jurica Ševa's co-authors include Mariana Neves, Ulf Leser, Markus Schatten, Johannes Starlinger, Damian Rieke, Ulrich Keilholz, Mario Sänger, Reinhold Schäfer, Christine Sers and David Luis Wiegandt and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Briefings in Bioinformatics.

In The Last Decade

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

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Fields of papers citing papers by Jurica Ševa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jurica Ševa

Since Specialization

Citations

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