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 Cornelia Fermüller sits on this spectrum.
This scientist: 227 publications — 56th percentile
56% 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 Cornelia Fermüller sits on this spectrum.
This scientist: 46 D-Index — 53rd percentile
53% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Cornelia Fermüller is affiliated with the University of Maryland, College Park in the United States. Their research spans primarily across the fields of Computer Science and Engineering, with a substantial focus on subfields including Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, and Cognitive Neuroscience.
The scientist's work covers a range of topics relevant to advanced computational methods and robotics. These main areas include:
Fermüller has contributed extensively to the scientific literature, with over one hundred publications, frequently appearing in venues such as arXiv (Cornell University), Frontiers in Robotics and AI, Science Robotics, IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Notable recent papers authored or co-authored by Fermüller include:
Throughout their career, Fermüller has collaborated with various researchers frequently. Some of the most common co-authors include:
Their research contributions focus on advancing computational models and intelligent systems integrating vision, neural computing, and robotics technologies. The work often addresses complex perception and control challenges, including action recognition, motion segmentation, and camera pose estimation, contributing to fields that intersect AI and engineering disciplines.
Yong Xu;Hui Ji;Cornelia Fermüller
Anton Mitrokhin;Cornelia Fermuller;Chethan Parameshwara;Yiannis Aloimonos
Austin Myers;Ching L. Teo;Cornelia Fermuller;Yiannis Aloimonos
Yezhou Yang;Yi Li;Cornelia Fermuller;Yiannis Aloimonos
Hui Ji;C. Fermuller
A.S. Ogale;C. Fermuller;Y. Aloimonos
Cornelia Fermüller;David Shulman;Yiannis Aloimonos
Yong Xu;Sibin Huang;Hui Ji;Cornelia FermüLler
Cornelia Fermüller;Yiannis Aloimonos
Anton Mitrokhin;Peter Sutor;Cornelia Fermüller;Yiannis Aloimonos
Yong Xu;Hui Ji;C. Fermuller
Cornelia Fermüller;Yiannis Aloimonos
LoongFah Cheong;Cornelia Fermüller;Yiannis Aloimonos
Cornelia Fermüller;Henrik Malm
Anton Mitrokhin;Chengxi Ye;Cornelia Fermuller;Yiannis Aloimonos
Nitin J. Sanket;Chahat Deep Singh;Kanishka Ganguly;Cornelia Fermuller
Yezhou Yang;Cornelia Fermuller;Yi Li;Yiannis Aloimonos
Cornelia Fermüller;Yiannis Aloimonos
P. Baker;C. Fermuller;Y. Aloimonos;R. Pless
Somak Aditya;Yezhou Yang;Chitta Baral;Yiannis Aloimonos
Cornelia Fermüller;Yiannis Aloimonos
Francisco Barranco;Cornelia Fermuller;Eduardo Ros
Cornelia Fermüller;Yiannis Aloimonos
Hui Ji;Cornelia Fermüller
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