The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kristen Grauman sits on this spectrum.
This scientist: 281 publications — 70th percentile
70% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kristen Grauman sits on this spectrum.
This scientist: 100 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kristen Grauman is affiliated with The University of Texas at Austin in the United States. Their research primarily focuses on the field of Computer Science, with a specialization in Computer Vision and Pattern Recognition. The work spans several subfields including Signal Processing, Artificial Intelligence, Cognitive Neuroscience, and Control and Systems Engineering.
The scientist has published extensively, with a total of 216 publications within Computer Science. Among these, notable contributions have been made in topics such as Human Pose and Action Recognition, Multimodal Machine Learning Applications, Music and Audio Processing, Speech and Audio Processing, Video Analysis and Summarization, Video Surveillance and Tracking Methods, and Advanced Vision and Imaging.
Recent research papers authored or co-authored by Kristen Grauman include:
Frequent co-authors in their research collaborations include Ziad Al-Halah, Santhosh Kumar Ramakrishnan, Changan Chen, Tushar Nagarajan, and Zihui Xue.
Kristen Grauman's publications have appeared predominantly in the following venues:
The scientist has received recognition through several awards including being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2019 for contributions in visual recognition and search, the IAPR J. K. Aggarwal Prize in 2018 for work related to image matching and retrieval, and Fellowship of the Alfred P. Sloan Foundation in 2012.
Boqing Gong;Yuan Shi;Fei Sha;Kristen Grauman
K. Grauman;T. Darrell
Devi Parikh;Kristen Grauman
Brian Kulis;Kristen Grauman
Jaechul Kim;Kristen Grauman
Yong Jae Lee;Joydeep Ghosh;Kristen Grauman
Ke Zhang;Wei-Lun Chao;Fei Sha;Kristen Grauman
Adriana Kovashka;Kristen Grauman
Zheng Lu;Kristen Grauman
Yong Jae Lee;Jaechul Kim;Kristen Grauman
Aron Yu;Kristen Grauman
Boqing Gong;Kristen Grauman;Fei Sha
Kristen Grauman;Trevor Darrell
Zuxuan Wu;Tushar Nagarajan;Abhishek Kumar;Steven Rennie
Yunhui Guo;Honghui Shi;Abhishek Kumar;Kristen Grauman
Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis
Danna Gurari;Qing Li;Abigale J. Stangl;Anhong Guo
Boqing Gong;Wei-Lun Chao;Kristen Grauman;Fei Sha
Ashish Kapoor;Kristen Grauman;Raquel Urtasun;Trevor Darrell
Suyog Dutt Jain;Bo Xiong;Kristen Grauman
B. Kulis;K. Grauman
Zhuoliang Kang;Kristen Grauman;Fei Sha
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 51
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