Zdravko Markov

23 papers and 134 indexed citations i.

About

Zdravko Markov is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Zdravko Markov has authored 23 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Zdravko Markov’s work include Data Mining Algorithms and Applications (6 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (5 papers). Zdravko Markov is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (5 papers). Zdravko Markov collaborates with scholars based in United States, Czechia and Bulgaria. Zdravko Markov's co-authors include Ingrid Russell, Susan Coleman, Lawrence B. Holder, Wolfgang Hübner, Scott Wallace, Tony Pipe, Brian Carse, Roman Barták, Keith Brawner and Vasile Rus and has published in prestigious journals such as Computer Graphics Forum, AI Magazine and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Zdravko Markov i

Fields of papers citing papers by Zdravko Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zdravko Markov

Since Specialization
Citations

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