Ivan Lorencin

46 papers and 645 indexed citations i.

About

Ivan Lorencin is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Ivan Lorencin has authored 46 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Mechanical Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Ivan Lorencin’s work include COVID-19 diagnosis using AI (6 papers), COVID-19 epidemiological studies (6 papers) and Evolutionary Algorithms and Applications (6 papers). Ivan Lorencin is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), COVID-19 epidemiological studies (6 papers) and Evolutionary Algorithms and Applications (6 papers). Ivan Lorencin collaborates with scholars based in Croatia, Serbia and Slovakia. Ivan Lorencin's co-authors include Nikola Anđelić, Zlatan Car, Vedran Mrzljak, Sandi Baressi Šegota, Josip Španjol, Milan Sága, Tomislav Ćabov, Nenad Filipović, Tijana Šušteršič and Paolo Blecich and has published in prestigious journals such as IEEE Transactions on Power Systems, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Ivan Lorencin i

Fields of papers citing papers by Ivan Lorencin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ivan Lorencin

Since Specialization
Citations

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