Vladimir Perović

47 papers and 581 indexed citations i.

About

Vladimir Perović is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Vladimir Perović has authored 47 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Vladimir Perović’s work include Computational Drug Discovery Methods (11 papers), Influenza Virus Research Studies (8 papers) and Machine Learning in Bioinformatics (7 papers). Vladimir Perović is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Influenza Virus Research Studies (8 papers) and Machine Learning in Bioinformatics (7 papers). Vladimir Perović collaborates with scholars based in Serbia, United States and Italy. Vladimir Perović's co-authors include Sanja Glišić, Nevena Veljković, Veljko Veljković, Milan Senćanski, Slobodan Paessler, Claude P. Muller, Branislava Gemović, Tijana Bojić, S. Raičević and Neven Šumonja and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Vladimir Perović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Perović

Since Specialization
Citations

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