Milan Rajković

25 papers and 465 indexed citations i.

About

Milan Rajković is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Milan Rajković has authored 25 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 9 papers in Economics and Econometrics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Milan Rajković’s work include Complex Systems and Time Series Analysis (9 papers), Complex Network Analysis Techniques (7 papers) and Topological and Geometric Data Analysis (6 papers). Milan Rajković is often cited by papers focused on Complex Systems and Time Series Analysis (9 papers), Complex Network Analysis Techniques (7 papers) and Topological and Geometric Data Analysis (6 papers). Milan Rajković collaborates with scholars based in Serbia, Japan and United States. Milan Rajković's co-authors include Slobodan Maletić, Danijela Horak, Miloš M. Škorić, Yi Zhao, Bosiljka Tadić, Roderick Melnik, Marija Mitrović Dankulov, T. Watanabe, G. Antar and Jovica Riznic and has published in prestigious journals such as PLoS ONE, Energy and Buildings and EPL (Europhysics Letters).

In The Last Decade

Co-authorship network of co-authors of Milan Rajković i

Fields of papers citing papers by Milan Rajković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milan Rajković

Since Specialization
Citations

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