Matjaž Kukar

30 papers and 1.1k indexed citations i.

About

Matjaž Kukar is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matjaž Kukar has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Health Information Management and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matjaž Kukar’s work include Artificial Intelligence in Healthcare (7 papers), Imbalanced Data Classification Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). Matjaž Kukar is often cited by papers focused on Artificial Intelligence in Healthcare (7 papers), Imbalanced Data Classification Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). Matjaž Kukar collaborates with scholars based in Slovenia, Italy and Greece. Matjaž Kukar's co-authors include Igor Kononenko, Gregor Gunčar, Mateja Notar, Marko Notar, Peter Černelč, Rok Rupnik, Miran Brvar, Zoran Bosnić, Ciril Grošelj and Petar Vračar and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Matjaž Kukar i

Fields of papers citing papers by Matjaž Kukar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matjaž Kukar

Since Specialization
Citations

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