Dijana Oreški

25 papers and 312 indexed citations i.

About

Dijana Oreški is a scholar working on Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Dijana Oreški has authored 25 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Dijana Oreški’s work include Digital Transformation in Industry (6 papers), Imbalanced Data Classification Techniques (4 papers) and Data Mining Algorithms and Applications (4 papers). Dijana Oreški is often cited by papers focused on Digital Transformation in Industry (6 papers), Imbalanced Data Classification Techniques (4 papers) and Data Mining Algorithms and Applications (4 papers). Dijana Oreški collaborates with scholars based in Croatia and Slovenia. Dijana Oreški's co-authors include Stjepan Oreški, Goran Oreški, Maja Rožman, Polona Tominc, Tomislav Novosel, Vesna Čančer and Nikola Kadoić and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Dijana Oreški i

Fields of papers citing papers by Dijana Oreški

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dijana Oreški

Since Specialization
Citations

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