Janez Žibert
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Health, Toxicology and Mutagenesis
- Cardiology and Cardiovascular Medicine
- Co-authors
- France MiheličNikola PavešićVitomir ŠtrucJurij Matija KališnikSimon DobrišekJerneja Žganec GrosTheodor FischleinMatúš Pleva
- Topics
- Speech Recognition and Synthesis (11 papers)Speech and Audio Processing (8 papers)Music and Audio Processing (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
In The Last Decade
Janez Žibert
43 papers receiving 390 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 136
- Signal Processing 92
- Computer Vision and Pattern Recognition 44
- Health, Toxicology and Mutagenesis 44
- Cardiology and Cardiovascular Medicine 42
Countries citing papers authored by Janez Žibert
This map shows the geographic impact of Janez Žibert'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 Janez Žibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janez Žibert more than expected).
Fields of papers citing papers by Janez Žibert
This network shows the impact of papers produced by Janez Žibert. 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 Janez Žibert. The network helps show where Janez Žibert may publish in the future.
Co-authorship network of co-authors of Janez Žibert
This figure shows the co-authorship network connecting the top 25 collaborators of Janez Žibert. A scholar is included among the top collaborators of Janez Žibert 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 Janez Žibert. Janez Žibert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 7 | |
| 16 | Development of Slovenian Broadcast News Speech Database | 5 |
| 17 | The COST278 Pan-European Broadcast News Database. | 40 |
| 18 | Bilingual Speech Recognition for Weather Information Retrieval Dialog System | 1 |
| 19 | 9 | |
| 20 | 15 |
About Janez Žibert
Janez Žibert is a scholar working on Signal Processing, Nephrology and Artificial Intelligence, having authored 48 papers that have together received 421 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Signal Processing (92 citations), Nephrology (32 citations) and Artificial Intelligence (136 citations). Janez Žibert has collaborated with scholars based in Slovenia, Germany and Austria. Frequent co-authors include France Mihelič, Nikola Pavešić, Vitomir Štruc, Jurij Matija Kališnik, Simon Dobrišek, Jerneja Žganec Gros, Theodor Fischlein, Matúš Pleva, Giuseppe Santarpino and Milan Skitek. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.