Barış Can Çam

About

Barış Can Çam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Barış Can Çam has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Barış Can Çam’s work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Barış Can Çam is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Barış Can Çam collaborates with scholars based in Türkiye. Barış Can Çam's co-authors include Kemal Öksüz, Sinan Kalkan and Emre Akbaş and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Barış Can Çam i

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Fields of papers citing papers by Barış Can Çam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barış Can Çam. 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 Barış Can Çam. The network helps show where Barış Can Çam may publish in the future.

Countries citing papers authored by Barış Can Çam

Since Specialization

Citations

This map shows the geographic impact of Barış Can Çam'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 Barış Can Çam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barış Can Çam 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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