France Mihelič
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Co-authors
- Vitomir ŠtrucSimon DobrišekNikola PavešićJanez ŽibertJerneja Žganec GrosSanda Martinčić-IpšićAnja PodlešekGregor Sočan
- Topics
- Speech and Audio Processing (19 papers)Speech Recognition and Synthesis (18 papers)Music and Audio Processing (13 papers)
In The Last Decade
France Mihelič
34 papers receiving 316 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 195
- Signal Processing 141
- Computer Vision and Pattern Recognition 103
- Experimental and Cognitive Psychology 98
- Social Psychology 38
Countries citing papers authored by France Mihelič
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).
Fields of papers citing papers by France Mihelič
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.
Co-authorship network of co-authors of France Mihelič
This figure shows the co-authorship network connecting the top 25 collaborators of France Mihelič. A scholar is included among the top collaborators of France Mihelič based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with France Mihelič. France Mihelič is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 30 | |
| 4 | 10 | |
| 5 | Multi-Modal Emotional Database: AvID | 12 |
| 6 | 0 | |
| 7 | 7 | |
| 8 | A System for Speaker Detection and Tracking in Audio Broadcast News | 7 |
| 9 | 7 | |
| 10 | 37 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About France Mihelič
France Mihelič is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 36 papers that have together received 347 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (18 papers) and Music and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (141 citations), Experimental and Cognitive Psychology (98 citations) and Artificial Intelligence (195 citations). France Mihelič has collaborated with scholars based in Slovenia and Croatia. Frequent co-authors include Vitomir Štruc, Simon Dobrišek, Nikola Pavešić, Janez Žibert, Jerneja Žganec Gros, Sanda Martinčić-Ipšić, Anja Podlešek, Gregor Sočan, Matúš Pleva and Andrej Žgank. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Computational Linguistics.
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.