Adil Karjauv

8 papers and 174 indexed citations i.

About

Adil Karjauv is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Adil Karjauv has authored 8 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Adil Karjauv’s work include Adversarial Robustness in Machine Learning (5 papers), Digital Media Forensic Detection (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Adil Karjauv is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Digital Media Forensic Detection (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Adil Karjauv collaborates with scholars based in South Korea. Adil Karjauv's co-authors include Chaoning Zhang, Philipp Benz, In So Kweon, Geng Sun and Jean‐Charles Bazin and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Adil Karjauv i

Fields of papers citing papers by Adil Karjauv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adil Karjauv. 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 Adil Karjauv. The network helps show where Adil Karjauv may publish in the future.

Countries citing papers authored by Adil Karjauv

Since Specialization
Citations

This map shows the geographic impact of Adil Karjauv'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 Adil Karjauv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adil Karjauv 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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2025