Nada Lavrač

138 papers and 3.1k indexed citations i.

About

Nada Lavrač is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Nada Lavrač has authored 138 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 38 papers in Molecular Biology and 37 papers in Information Systems. Recurrent topics in Nada Lavrač’s work include Data Mining Algorithms and Applications (32 papers), Semantic Web and Ontologies (20 papers) and Bioinformatics and Genomic Networks (19 papers). Nada Lavrač is often cited by papers focused on Data Mining Algorithms and Applications (32 papers), Semantic Web and Ontologies (20 papers) and Bioinformatics and Genomic Networks (19 papers). Nada Lavrač collaborates with scholars based in Slovenia, Croatia and United States. Nada Lavrač's co-authors include Sašo Džeroski, Dragan Gamberger, Igor Mozetič, Ryszard S. Michalski, Jiarong Hong, Branko Kavšek, Petra Kralj Novak, Peter Flach, Geoffrey I. Webb and Miha Grćar and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Nada Lavrač i

Fields of papers citing papers by Nada Lavrač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nada Lavrač

Since Specialization
Citations

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