Kiana Ehsani

15 papers and 362 indexed citations i.

About

Kiana Ehsani is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Kiana Ehsani has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Kiana Ehsani’s work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (8 papers) and Robot Manipulation and Learning (5 papers). Kiana Ehsani is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (8 papers) and Robot Manipulation and Learning (5 papers). Kiana Ehsani collaborates with scholars based in United States, Iran and Japan. Kiana Ehsani's co-authors include Roozbeh Mottaghi, Ali Farhadi, Mitchell Wortsman, Mohammad Rastegari, Shuran Song, Samir Yitzhak Gadre, Aniruddha Kembhavi, Winson Han, Hessam Bagherinezhad and Luca Weihs and has published in prestigious journals such as Journal of Graph Theory, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Kiana Ehsani i

Fields of papers citing papers by Kiana Ehsani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kiana Ehsani

Since Specialization
Citations

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