Emre Aksan

11 papers and 525 indexed citations i.

About

Emre Aksan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Emre Aksan has authored 11 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Emre Aksan’s work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (2 papers). Emre Aksan is often cited by papers focused on Human Motion and Animation (7 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (2 papers). Emre Aksan collaborates with scholars based in Switzerland, United States and Germany. Emre Aksan's co-authors include Otmar Hilliges, Manuel Kaufmann, Partha Ghosh, Jie Song, Gerard Pons‐Moll, Michael J. Black, Yinghao Huang, Muhammed Kocabas, Jemin Hwangbo and Lukáš Jendele and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Emre Aksan i

Fields of papers citing papers by Emre Aksan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emre Aksan

Since Specialization
Citations

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