Yusuf Aytar

27 papers and 1.6k indexed citations i.

About

Yusuf Aytar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yusuf Aytar has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Yusuf Aytar’s work include Advanced Image and Video Retrieval Techniques (11 papers), Multimodal Machine Learning Applications (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yusuf Aytar is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Multimodal Machine Learning Applications (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yusuf Aytar collaborates with scholars based in United States, United Kingdom and Qatar. Yusuf Aytar's co-authors include Andrew Zisserman, Antonio Torralba, Carl Vondrick, Jonathan Tompson, Pierre Sermanet, Debidatta Dwibedi, Ferda Ofli, Ingmar Weber, Javier Marín and Amaia Salvador and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Yusuf Aytar i

Fields of papers citing papers by Yusuf Aytar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yusuf Aytar

Since Specialization
Citations

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