University of California, Merced
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Global and Planetary Change top 2%
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
Papers in
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- Fire effects on ecosystems 270
- Plant Water Relations and Carbon Dynamics 239
- Top scholars
- Ming–Hsuan YangHenry Jay FormanA. L. WesterlingYangQuan ChenHongqiao ZhangHuchuan LuJongwoo LimShawn Newsam
- Journals
- PLoS ONE (156 papers)Proceedings of the National Academy of Sciences (78 papers)The Journal of Chemical Physics (76 papers)Scientific Reports (75 papers)The Journal of Physical Chemistry C (72 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
University of California, Merced
10.4k papers receiving 386.1k citations
Peers
Comparison fields: 5 of 250
- Computer Vision and Pattern Recognition 64.2k
- Global and Planetary Change 42.4k
- Media Technology 15.3k
- Ecology 36.6k
- Ecological Modeling 5.5k
Countries citing scholars working at University of California, Merced
This map shows the geographic impact of research produced by authors working at University of California, Merced. 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 papers produced at University of California, Merced with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites University of California, Merced more than expected).
Fields of papers published by authors at University of California, Merced
This network shows the impact of papers affiliated with University of California, Merced at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with University of California, Merced at the time of their publication.
About University of California, Merced
In recent decades, authors affiliated with University of California, Merced have published 11.6k papers, which have received a total of 404.3k indexed citations . Scholars at this organization have produced 955 papers in Global and Planetary Change, 191 papers in Modeling and Simulation, 865 papers in Computer Vision and Pattern Recognition, 180 papers in Applied Psychology and 151 papers in Ecological Modeling on the topics of Fire effects on ecosystems (270 papers), Plant Water Relations and Carbon Dynamics (239 papers), Hydrology and Watershed Management Studies (223 papers), Advanced Control Systems Design (194 papers), Video Surveillance and Tracking Methods (175 papers), Soil Carbon and Nitrogen Dynamics (174 papers), Advanced Image and Video Retrieval Techniques (171 papers) and Force Microscopy Techniques and Applications (161 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (64.2k citations), Global and Planetary Change (42.4k citations), Media Technology (15.3k citations), Ecology (36.6k citations) and Ecological Modeling (5.5k citations). Authors at University of California, Merced collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including PLoS ONE, Proceedings of the National Academy of Sciences, The Journal of Chemical Physics, Scientific Reports and The Journal of Physical Chemistry C. Some of University of California, Merced's most productive authors include Ming–Hsuan Yang, Henry Jay Forman, A. L. Westerling, YangQuan Chen, Hongqiao Zhang, Huchuan Lu, Jongwoo Lim, Shawn Newsam, Erin R. Johnson and William R. Shadish.
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.