This ranking lists all the best researchers from the Computer Science discipline and
affiliated with University of California, Merced. There are a total of
3 researchers included with 1 of them
also being included in the global ranking.
University of California, Merced
The University of California, Merced (UC Merced) is a public land-grant research university located in Merced, California. It was founded in 1988 based on a decision of the UC Board of Regents and was established in 2005. UC Merced is the 10th and newest campus of the University of California. The university is also one of the most sustainable universities in the United States under its Triple Zero Commitment, with every building on campus being LEED-certified.
University of California, Merced Key Statistics
The university is organized into three academic schools that offer 23 undergraduate majors and 25 minors, namely, the School of Engineering, the School of Natural Sciences, and the School of Social Sciences, Humanities, and Arts. It offers 18 undergraduate courses, including bioengineering, chemistry and chemical biology, cognitive and information sciences, electrical engineering and computer science, and environmental systems.
UC Merced has 8,847 students enrolled, 8,151 of whom are undergraduates and 696 are postgraduates. It employs 264 academic staff. The university has its main campus in Merced and a satellite campus in Bakersfield.
The central library of UC Merced houses a collection of 102,000 print books, 70,000 online journals, and 3.96 million electronic books (including 3.15 million HathiTrust full-text books).
The other University of California, Merced key statistics include its 200 student-run clubs, such as the Society of Automotive Engineers, the Society of Asian Scientists and Engineers, the Merced Pre-Law Society, the Business Society, the National Society of Black Engineers, and the UC Merced Historical Society.
University of California, Merced Research
The university is classified among "R2: Doctoral Universities – High research activity.” It had received $7 million in funding from the National Science Foundation in 2017.
The university's top three research fields are computer science, artificial intelligence, and pattern recognition. Its researchers have been published in publications like Science, arXiv: Computer Vision and Pattern Recognition, and the IEEE Transactions on Pattern Analysis and Machine Intelligence. Its researchers had been invited to attend and/or present papers at international conferences, such as Computer Vision and Pattern Recognition, the European Conference on Computer Vision, and the International Conference on Computer Vision.
The most cited publication from the University of California, Merced research is Westerling et al.’s (2006) “Warming and earlier spring increase Western U.S. forest wildfire activity,” published in Science, with a total of 6,147 citations to date. The second most cited paper is Wu et al.’s (2013) “Online object tracking: A benchmark,” published in the 2013 IEEE Conference on Computer Vision and Pattern Recognition. It has received a total of 5,084 citations. The university’s third most cited paper is Bolyen et al.’s (2019) “Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2,” published in Nature Biotechnology. It has been cited by papers, articles, and other publications around 2,483 times so far.
The university’s research centers and relevant facilities include the Health Sciences Research Institute, the Sierra Nevada Research Institute, the University of California Advanced Solar Technologies Institute, the NSF CREST Center for Cellular and Biomolecular Machines, and the Merced Nanomaterials Center for Energy and Sensing.
Our research was coordinated by Imed Bouchrika, PhD, a computer scientist with a well-established record
of collaboration on a number of international research projects with different partners from the academic
community. His role was to make sure all data remained unbiased, accurate, and up-to-date.
We list only scientists having D-Index >= 30 within the area of
Computer Science. If you or other scholars are not listed, we appreciate if you can