Svebor Karaman
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Biomedical Engineering
- Human-Computer Interaction
- Co-authors
- Shih‐Fu ChangFelix X. YuAlberto Del BimboGiuseppe LisantiXu ZhangShih-Fu ChangAndrew D. BagdanovAlireza Zareian
- Topics
- Video Surveillance and Tracking Methods (8 papers)Advanced Image and Video Retrieval Techniques (5 papers)Human Pose and Action Recognition (5 papers)
- Journals
- Pattern RecognitionAlzheimer s & DementiaIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- United StatesItalySpain
In The Last Decade
Svebor Karaman
21 papers receiving 343 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 282
- Artificial Intelligence 110
- Aerospace Engineering 54
- Biomedical Engineering 33
- Human-Computer Interaction 20
Countries citing papers authored by Svebor Karaman
This map shows the geographic impact of Svebor Karaman'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 Svebor Karaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svebor Karaman more than expected).
Fields of papers citing papers by Svebor Karaman
This network shows the impact of papers produced by Svebor Karaman. 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 Svebor Karaman. The network helps show where Svebor Karaman may publish in the future.
Co-authorship network of co-authors of Svebor Karaman
This figure shows the co-authorship network connecting the top 25 collaborators of Svebor Karaman. A scholar is included among the top collaborators of Svebor Karaman 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 Svebor Karaman. Svebor Karaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 38 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 35 | |
| 8 | 84 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 34 | |
| 18 | L1-regularized Logistic Regression Stacking and Transductive CRF Smoothing for Action Recognition in Video | 15 |
| 19 | 2 | |
| 20 | 15 |
About Svebor Karaman
Svebor Karaman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Communication, having authored 21 papers that have together received 357 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (282 citations), Human-Computer Interaction (20 citations) and Artificial Intelligence (110 citations). Svebor Karaman has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Shih‐Fu Chang, Felix X. Yu, Alberto Del Bimbo, Giuseppe Lisanti, Xu Zhang, Shih-Fu Chang, Andrew D. Bagdanov, Alireza Zareian, Iacopo Masi and Lorenzo Seidenari. Their work appears in journals such as Pattern Recognition, Alzheimer s & Dementia and IEEE Journal of Selected Topics in Signal Processing.
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.