Ante Odić
Impact in
- Computational Mathematics top 10%
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Image Retrieval and Classification Techniques 8
- Video Analysis and Summarization 4
- Advanced Data Compression Techniques 3
- Face and Expression Recognition 1
- Data Visualization and Analytics 1
-
- Recommender Systems and Techniques 8
- Co-authors
- Marko Tkalčič (15 shared papers)Andrej Košir (15 shared papers)Jurij Franc Tasič (10 shared papers)Matevž Kunaver (2 shared papers)Marco de Gemmis (2 shared papers)Cynthia C. S. Liem (1 shared paper)Berardina Nadja De Carolis (2 shared papers)Markus Schedl (1 shared paper)
In The Last Decade
Ante Odić
15 papers receiving 354 citations
Peers
Comparison fields: 5 of 49
- Computational Mathematics 14
- Information Systems 258
- Computer Vision and Pattern Recognition 137
- Transportation 31
- Signal Processing 51
Countries citing papers authored by Ante Odić
This map shows the geographic impact of Ante Odić'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 Ante Odić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ante Odić more than expected).
Fields of papers citing papers by Ante Odić
This network shows the impact of papers produced by Ante Odić. 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 Ante Odić. The network helps show where Ante Odić may publish in the future.
Co-authors
The 11 scholars most cited alongside Ante Odić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | Database for contextual personalization | 2011 | 79 |
| 3 | 2012 | 64 | |
| 4 | Relevant Context in a Movie Recommender System: Users' Opinion vs. Statistical Detection | 2012 | 57 |
| 5 | 2013 | 15 | |
| 6 | 2013 | 15 | |
| 7 | Personality and social context: Impact on emotion induction from movies | 2013 | 14 |
| 8 | 2013 | 13 | |
| 9 | 2012 | 7 | |
| 10 | 2016 | 6 | |
| 11 | LDOS-CoMoDa dataset | 2012 | 6 |
| 12 | Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. | 2014 | 5 |
| 13 | 2013 | 4 | |
| 14 | 2012 | 1 | |
| 15 | 2015 | 1 |
About Ante Odić
Ante Odić is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Signal Processing, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Recommender Systems and Techniques (8 papers), Video Analysis and Summarization (4 papers), Advanced Data Compression Techniques (3 papers), Emotion and Mood Recognition (2 papers), Data Management and Algorithms (2 papers), Face and Expression Recognition (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computational Mathematics (14 citations), Information Systems (258 citations), Computer Vision and Pattern Recognition (137 citations), Transportation (31 citations) and Signal Processing (51 citations). Ante Odić has collaborated with scholars based in Slovenia, Austria and Italy. Frequent co-authors include Marko Tkalčič, Andrej Košir, Jurij Franc Tasič, Matevž Kunaver, Marco de Gemmis, Cynthia C. S. Liem, Berardina Nadja De Carolis, Markus Schedl, Bruce Ferwerda and Mark Melenhorst. Their work appears in journals such as IEEE Transactions on Multimedia, Information Sciences, Interacting with Computers, Automatika and Lecture notes in computer science.
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.