Andrej Košir
Impact in
- Computational Mathematics top 10%
-
- Emotion and Mood Recognition
Papers in
-
- Image Retrieval and Classification Techniques 14
- Video Analysis and Summarization 11
- Advanced Data Compression Techniques 4
- Medical Image Segmentation Techniques 3
-
- Recommender Systems and Techniques 16
- Co-authors
- Marko Tkalčič (25 shared papers)J.F. Tasič (25 shared papers)Ante Odić (16 shared papers)Janez Zaletelj (4 shared papers)Ping Lü (1 shared paper)Yaxiong Ma (1 shared paper)Min Chen (1 shared paper)Jincai Chen (1 shared paper)
In The Last Decade
Andrej Košir
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Computational Mathematics 14
- Experimental and Cognitive Psychology 234
- Information Systems 377
- Computer Vision and Pattern Recognition 343
- Human-Computer Interaction 94
Countries citing papers authored by Andrej Košir
This map shows the geographic impact of Andrej Košir'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 Andrej Košir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Košir more than expected).
Fields of papers citing papers by Andrej Košir
This network shows the impact of papers produced by Andrej Košir. 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 Andrej Košir. The network helps show where Andrej Košir may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrej Košir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2018 | 131 | |
| 3 | 2013 | 89 | |
| 4 | 2014 | 86 | |
| 5 | 2010 | 82 | |
| 6 | Database for contextual personalization | 2011 | 78 |
| 7 | 2012 | 62 | |
| 8 | 2011 | 61 | |
| 9 | Relevant Context in a Movie Recommender System: Users' Opinion vs. Statistical Detection | 2012 | 57 |
| 10 | 2013 | 36 | |
| 11 | 2016 | 34 | |
| 12 | 2012 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2012 | 24 | |
| 15 | 2005 | 23 | |
| 16 | 2005 | 19 | |
| 17 | 2013 | 17 | |
| 18 | 2013 | 17 | |
| 19 | 2012 | 16 | |
| 20 | 2013 | 14 |
About Andrej Košir
Andrej Košir is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Experimental and Cognitive Psychology, Artificial Intelligence and Social Psychology, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Image Retrieval and Classification Techniques (14 papers), Video Analysis and Summarization (11 papers), Emotion and Mood Recognition (9 papers), Color perception and design (4 papers), Human-Automation Interaction and Safety (4 papers), Advanced Data Compression Techniques (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computational Mathematics (14 citations), Experimental and Cognitive Psychology (234 citations), Information Systems (377 citations), Computer Vision and Pattern Recognition (343 citations) and Human-Computer Interaction (94 citations). Andrej Košir has collaborated with scholars based in Slovenia, Austria and Italy. Frequent co-authors include Marko Tkalčič, J.F. Tasič, Ante Odić, Janez Zaletelj, Ping Lü, Yaxiong Ma, Min Chen, Jincai Chen, Tomaž Javornik and Mihael Mohorčič. Their work appears in journals such as IEEE Access, Sensors, Multimedia Tools and Applications, User Modeling and User-Adapted Interaction and Information Sciences.
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.