Institution
Brunel University London
Education•London, United Kingdom•
About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Large Hadron Collider & Population. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.
Papers published on a yearly basis
Papers
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TL;DR: It is concluded that the sub-nuclear organisation of chromosomes in quiescent or senescent mammalian somatic cells is fundamentally different from that in proliferating cells and that the spatial organisation of the genome is plastic.
282 citations
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TL;DR: An in vitro technique based on rainbow trout hepatocytes incubated in a basic medium free of any additional growth factors or estrogenic chemicals and uses the production of vitellogenin as a marker for the estrogenic potency of the compounds tested can provide complementary results about the activity of chemicals which need an hepatic metabolization to be estrogenic.
281 citations
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TL;DR: In this paper, an overview of the literature on human error in road transport is presented, and a taxonomy of road transport error causing factors, derived from the review of the driver error literature, is also presented.
280 citations
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TL;DR: The in-degree and out-degree distributions of a growing network model are determined by tuning the parameters in these rates to reasonable values, exponents which agree with those of the web graph are obtained.
Abstract: The in-degree and out-degree distributions of a growing network model are determined. The in-degree is the number of incoming links to a given node (and vice versa for out-degree). The network is built by (i) creation of new nodes which each immediately attach to a preexisting node, and (ii) creation of new links between preexisting nodes. This process naturally generates correlated in-degree and out-degree distributions. When the node and link creation rates are linear functions of node degree, these distributions exhibit distinct power-law forms. By tuning the parameters in these rates to reasonable values, exponents which agree with those of the web graph are obtained.
279 citations
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TL;DR: The aim of this paper is to find the so-called insecurity conditions under which the estimation system is insecure in the sense that there exist malicious attacks that can bypass the anomaly detector but still lead to unbounded estimation errors.
279 citations
Authors
Showing all 11074 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Hongfang Liu | 166 | 2356 | 156290 |
Gavin Davies | 159 | 2036 | 149835 |
Marjo-Riitta Järvelin | 156 | 923 | 100939 |
Matt J. Jarvis | 144 | 1064 | 85559 |
Alexander Belyaev | 142 | 1895 | 100796 |
Louis Lyons | 138 | 1747 | 98864 |
Silvano Tosi | 135 | 1712 | 97559 |
John A Coughlan | 135 | 1312 | 96578 |
Kenichi Hatakeyama | 134 | 1731 | 102438 |
Kristian Harder | 134 | 1613 | 96571 |
Peter R Hobson | 133 | 1590 | 94257 |
Christopher Seez | 132 | 1256 | 89943 |
Liliana Teodorescu | 132 | 1471 | 90106 |
Umesh Joshi | 131 | 1249 | 90323 |