Institution
University of Alicante
Education•Alicante, Spain•
About: University of Alicante is a education organization based out in Alicante, Spain. It is known for research contribution in the topics: Catalysis & Population. The organization has 8681 authors who have published 22690 publications receiving 476064 citations. The organization is also known as: Universitat d'Alacant & Universidad de Alicante.
Topics: Catalysis, Population, Adsorption, Context (language use), Platinum
Papers published on a yearly basis
Papers
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TL;DR: MEC (project MEC-CTQ2005-01358); FELS thanks University of Alicante (Universidad de Alicante) and International Committee of the Cooperative Foreign Service (Cooperation Office) for their thesis grant as discussed by the authors.
Abstract: MEC (project
CTQ2005-01358); FELS thanks University of Alicante (International
Cooperation Office) his thesis grant.
162 citations
TL;DR: In this article, the effect of bismuth adatoms adsorbed irreversibly on Pt (100) is investigated both for the direct electrocatalytic oxidation of formic acid and for the reaction of formation of the stable poisoning intermediate.
162 citations
24 Jul 2016
TL;DR: PointNet is proposed, a new approach inspired by VoxNet and 3D ShapeNets, as an improvement over the existing methods by using density occupancy grids representations for the input data, and integrating them into a supervised Convolutional Neural Network architecture.
Abstract: During the last few years, Convolutional Neural Networks are slowly but surely becoming the default method solve many computer vision related problems. This is mainly due to the continuous success that they have achieved when applied to certain tasks such as image, speech, or object recognition.
162 citations
TL;DR: In this paper, Sperber and Wilson's relevance theory is analyzed as to its explanation of how humorous interpretations are produced, and the main foundation of this cognitive theory is the hypothesis that human beings rely on one single interpretive principle, which they invariably use in their attempt to select the interlocutors' intended interpretation.
162 citations
TL;DR: The PREDICTS project as discussed by the authors provides a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use.
Abstract: The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
162 citations
Authors
Showing all 8876 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Martin McKee | 138 | 1732 | 125972 |
| Ignacio E. Grossmann | 112 | 776 | 46185 |
| Sumio Iijima | 106 | 633 | 101834 |
| Freek Kapteijn | 105 | 678 | 47194 |
| Stefano Covino | 99 | 977 | 42669 |
| Morinobu Endo | 94 | 787 | 38033 |
| George F. Murphy | 81 | 408 | 26066 |
| Steven J. Burakoff | 81 | 363 | 24167 |
| Juan M. Feliu | 80 | 544 | 23147 |
| Fernando T. Maestre | 78 | 313 | 25149 |
| Juli G. Pausas | 76 | 227 | 24550 |
| Joaquín Dopazo | 75 | 396 | 24790 |
| Katsumi Kaneko | 74 | 581 | 28619 |
| Francisco Rodriguez-Valera | 73 | 262 | 18744 |
| Masako Yudasaka | 72 | 417 | 17761 |