Institution
Clemson University
Education•Clemson, South Carolina, United States•
About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.
Topics: Population, Control theory, Poison control, Optical fiber, Fiber
Papers published on a yearly basis
Papers
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TL;DR: In this paper, four Rabbiteye blueberry cultivars (i.e., Powderblue, Climax, Tifblue, and Woodward) were compared regarding their chemical profiles and antioxidant capacity in terms of total phenolic content, total anthocyanin content and ORAC activity.
216 citations
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TL;DR: In this paper, the authors review the state-of-the-art research on dynamic modeling and control of friction-limited continuously variable transmissions (CVTs) and discuss challenges and critical issues for future research on modeling and controlling of such CVTs.
216 citations
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TL;DR: Results showed that the ridge width is the most important parameter, since varying the groove width and groove depth did not affect the RDF size, shape, nor the angle of cellular orientation.
216 citations
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TL;DR: This paper extends the concept of degree from single vertex to sub-graph, and presents a formal definition of module/community in a network based on this extension, and implements a JAVA tool, MoNet, for exploring local community structures in large networks.
Abstract: In this paper, three new algorithms, a greedy algorithm, a KL-like algorithm, and an add-all algorithm, are proposed to find local optimal community structures in large networks starting from a given source vertex. The time complexity for finding a local community of all these algorithms is O(K 2d), where K is the number of vertices to be explored in the sub-graph and d is the average degree of the vertices in the sub-graph. A JAVA tool is developed based on these algorithms to identify local community structures in large networks. The results of using this tool to analyze a co-purchase network from Amazon.com show that local community structures exist in this large-scale co-purchase network. Further analyses of the identified local communities show that purchases of media items form more compact local communities than purchases of book items do, indicating that recommending digital media items to customers based on co-purchasing information in the online store is more efficient than recommending books.
216 citations
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TL;DR: In this article, the essential oil extracted from parsley (Petroselinum crispum) was evaluated by three different in vitro assays: β-carotene bleaching assay, DPPH free radical scavenging assay and Fe2+-metal chelating assay.
216 citations
Authors
Showing all 20718 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yury Gogotsi | 171 | 956 | 144520 |
Philip S. Yu | 148 | 1914 | 107374 |
Aaron Dominguez | 147 | 1968 | 113224 |
Danny Miller | 133 | 512 | 71238 |
Marco Ajello | 131 | 535 | 58714 |
David C. Montefiori | 129 | 920 | 70049 |
Frank L. Lewis | 114 | 1045 | 60497 |
Jianqing Fan | 104 | 488 | 58039 |
Wei Chen | 103 | 1438 | 44994 |
Ken A. Dill | 99 | 401 | 41289 |
Gerald Schubert | 98 | 614 | 34505 |
Rod A. Wing | 98 | 333 | 47696 |
Feng Chen | 95 | 2138 | 53881 |
Jimin George | 94 | 331 | 62684 |
François Diederich | 93 | 843 | 46906 |