Vladimir Kurbalija

22 papers and 255 indexed citations i.

About

Vladimir Kurbalija is a scholar working on Artificial Intelligence, Signal Processing and Psychiatry and Mental health. According to data from OpenAlex, Vladimir Kurbalija has authored 22 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Signal Processing and 3 papers in Psychiatry and Mental health. Recurrent topics in Vladimir Kurbalija’s work include Time Series Analysis and Forecasting (10 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning in Healthcare (5 papers). Vladimir Kurbalija is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning in Healthcare (5 papers). Vladimir Kurbalija collaborates with scholars based in Serbia, Slovenia and China. Vladimir Kurbalija's co-authors include Mirjana Ivanović, Miloš Radovanović, Zoran Bosnić, Weihui Dai, Hans-Dieter Burkhard, Zoran Budimac, Danilo Schmidt, Carl Hinrichs, Weidong Zhao and Dejan Mitrović and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Vladimir Kurbalija i

Fields of papers citing papers by Vladimir Kurbalija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Kurbalija

Since Specialization
Citations

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