Zeynep Akata

70 papers and 5.2k indexed citations i.

About

Zeynep Akata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zeynep Akata has authored 70 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 51 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zeynep Akata’s work include Domain Adaptation and Few-Shot Learning (46 papers), Multimodal Machine Learning Applications (39 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Zeynep Akata is often cited by papers focused on Domain Adaptation and Few-Shot Learning (46 papers), Multimodal Machine Learning Applications (39 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Zeynep Akata collaborates with scholars based in Germany, United States and United Kingdom. Zeynep Akata's co-authors include Bernt Schiele, Yongqin Xian, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid, Christoph H. Lampert, Andreas Geiger, Torsten Sattler, Honglak Lee and Scott Reed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Zeynep Akata i

Fields of papers citing papers by Zeynep Akata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zeynep Akata

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025