Stevan Rudinac
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Marcel WorringMartha LarsonAlan HanjalićMasoud MazloomWillemijn van DolenBjörn Þór JónssonChristian WartenaVanessa Murdock
- Topics
- Advanced Image and Video Retrieval Techniques (26 papers)Image Retrieval and Classification Techniques (22 papers)Video Analysis and Summarization (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceOrganization StudiesIEEE Transactions on Multimedia
- Partner nations
- NetherlandsIcelandDenmark
In The Last Decade
Stevan Rudinac
45 papers receiving 440 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 289
- Artificial Intelligence 154
- Sociology and Political Science 69
- Information Systems 49
- Signal Processing 47
Countries citing papers authored by Stevan Rudinac
This map shows the geographic impact of Stevan Rudinac'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 Stevan Rudinac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stevan Rudinac more than expected).
Fields of papers citing papers by Stevan Rudinac
This network shows the impact of papers produced by Stevan Rudinac. 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 Stevan Rudinac. The network helps show where Stevan Rudinac may publish in the future.
Co-authorship network of co-authors of Stevan Rudinac
This figure shows the co-authorship network connecting the top 25 collaborators of Stevan Rudinac. A scholar is included among the top collaborators of Stevan Rudinac 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 Stevan Rudinac. Stevan Rudinac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | TUD-MIR at MediaEval 2011 Genre Tagging Task: Query Expansion from a Limited Number of Labeled Videos | 3 |
| 19 | Visual Resampling for Pseudo-Relevance Feedback during Speech-based Video Retrieval. | 0 |
| 20 | 6 |
About Stevan Rudinac
Stevan Rudinac is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 51 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (26 papers), Image Retrieval and Classification Techniques (22 papers) and Video Analysis and Summarization (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Artificial Intelligence (154 citations) and Signal Processing (47 citations). Stevan Rudinac has collaborated with scholars based in Netherlands, Iceland and Denmark. Frequent co-authors include Marcel Worring, Martha Larson, Alan Hanjalić, Masoud Mazloom, Willemijn van Dolen, Björn Þór Jónsson, Christian Wartena, Vanessa Murdock, Roeland Ordelman and Pavel Serdyukov. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Organization Studies and IEEE Transactions on Multimedia.
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.