Milan Ružić

7 papers and 107 indexed citations i.

About

Milan Ružić is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Milan Ružić has authored 7 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Milan Ružić’s work include Algorithms and Data Compression (6 papers), Cryptography and Data Security (3 papers) and Caching and Content Delivery (2 papers). Milan Ružić is often cited by papers focused on Algorithms and Data Compression (6 papers), Cryptography and Data Security (3 papers) and Caching and Content Delivery (2 papers). Milan Ružić collaborates with scholars based in Denmark, Slovakia and Serbia. Milan Ružić's co-authors include Anna Pagh, Rasmus Pagh and Ján Obuch and has published in prestigious journals such as SIAM Review, SIAM Journal on Computing and ACM Transactions on Algorithms.

In The Last Decade

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

Fields of papers citing papers by Milan Ružić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milan Ružić

Since Specialization
Citations

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