France Mihelič

23 papers and 229 indexed citations i.

About

France Mihelič is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, France Mihelič has authored 23 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in France Mihelič’s work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (10 papers). France Mihelič is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (10 papers). France Mihelič collaborates with scholars based in Slovenia and Croatia. France Mihelič's co-authors include Vitomir Štruc, Simon Dobrišek, Nikola Pavešić, Janez Žibert, Anton Čižmár, Laura Docío-Fernández, João P. Neto, Anja Podlešek, Gregor Sočan and Hugo Meinedo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of France Mihelič i

Fields of papers citing papers by France Mihelič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by France Mihelič

Since Specialization
Citations

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