Kiana Ehsani
Impact in
-
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
-
- Domain Adaptation and Few-Shot Learning
Papers in ⓘ
-
- Human Pose and Action Recognition 6
- Multimodal Machine Learning Applications 5
- Video Surveillance and Tracking Methods 1
-
- Reinforcement Learning in Robotics 4
- Artificial Intelligence in Games 1
- Co-authors
- Roozbeh Mottaghi (4 shared papers)Ali Farhadi (4 shared papers)Samir Yitzhak Gadre (3 shared papers)Shuran Song (3 shared papers)Ludwig Schmidt (1 shared paper)Gabriel Ilharco (1 shared paper)Aniruddha Kembhavi (6 shared papers)Luca Weihs (4 shared papers)
- Journals
- Journal of Graph Theory (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSouth KoreaIran
In The Last Decade
Kiana Ehsani
12 papers receiving 193 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 69
- Human-Computer Interaction 9
- Control and Systems Engineering 33
- Industrial and Manufacturing Engineering 9
Countries citing papers authored by Kiana Ehsani
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).
Fields of papers citing papers by Kiana Ehsani
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.
Co-authors
The 25 scholars most cited alongside Kiana Ehsani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 2022 | 24 | |
| 3 | 2021 | 24 | |
| 4 | 2021 | 19 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2024 | 0 |
About Kiana Ehsani
Kiana Ehsani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Discrete Mathematics and Combinatorics and Computational Mechanics, having authored 13 papers that have together received 200 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (5 papers), Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (3 papers), Human Motion and Animation (2 papers), Video Surveillance and Tracking Methods (1 paper), 3D Shape Modeling and Analysis (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Artificial Intelligence (69 citations), Human-Computer Interaction (9 citations), Control and Systems Engineering (33 citations) and Industrial and Manufacturing Engineering (9 citations). Kiana Ehsani has collaborated with scholars based in United States, South Korea and Iran. Frequent co-authors include Roozbeh Mottaghi, Ali Farhadi, Samir Yitzhak Gadre, Shuran Song, Ludwig Schmidt, Gabriel Ilharco, Aniruddha Kembhavi, Luca Weihs, Rose Hendrix and Tanmay Gupta. Their work appears in journals such as Journal of Graph Theory, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).
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.