Svebor Karaman

18 papers and 261 indexed citations i.

About

Svebor Karaman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Svebor Karaman has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Svebor Karaman’s work include Video Surveillance and Tracking Methods (7 papers), Video Analysis and Summarization (5 papers) and Multimodal Machine Learning Applications (4 papers). Svebor Karaman is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Video Analysis and Summarization (5 papers) and Multimodal Machine Learning Applications (4 papers). Svebor Karaman collaborates with scholars based in United States, Italy and France. Svebor Karaman's co-authors include Giuseppe Lisanti, Shih-Fu Chang, Alberto Del Bimbo, Iacopo Masi, Alireza Zareian, Andrew D. Bagdanov, Shih‐Fu Chang, Carl Vondrick, Brian Chen and Hassan Akbari and has published in prestigious journals such as Pattern Recognition, Alzheimer s & Dementia and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Svebor Karaman i

Fields of papers citing papers by Svebor Karaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Svebor Karaman

Since Specialization
Citations

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).

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.

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