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Wolfgang Wagner

Researcher at Vienna University of Technology

Publications -  2508
Citations -  138154

Wolfgang Wagner is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Large Hadron Collider & Top quark. The author has an hindex of 156, co-authored 2342 publications receiving 123391 citations. Previous affiliations of Wolfgang Wagner include University of Pennsylvania & University of Amsterdam.

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Forward-backward correlations and charged-particle azimuthal distributions in pp interactions using the ATLAS detector

Georges Aad, +3059 more
TL;DR: In this article, measurements have been made of the correlations between forward and backward charged-particle multiplicities and, for the first time, the summed transverse momentum of the two particles.
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Generation of the Maxwellian inflow distribution

TL;DR: Several efficient, exact acceptance-rejection methods for generating the Maxwellian inflow distribution, the velocity distribution of gas molecules crossing a plane, are presented.
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Partners in recall: Collaborative order in the recall of a police interrogation

TL;DR: In this article, subjects watched a video-recording of a police interrogation of a woman who alleged she had been raped, and were randomly divided into pairs, in the individual-dyadic (ID) condition subjects first individually and subsequently as a dyad, free-recalled the interrogation, answered specific questions about it, and gave ratings of confidence.
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Phase II trial of preoperative radiochemotherapy with concurrent bevacizumab, capecitabine and oxaliplatin in patients with locally advanced rectal cancer.

TL;DR: The addition of bevacizumab and oxaliplatin to RCT with capecitabine was well tolerated and did not increase perioperative morbidity or mortality, however, the pCR rate was not improved in comparison to other trials that used cape citabine or capecitABine/oxali Platin in preoperative radiochemotherapy.
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Roughness Mapping on Various Vertical Scales Based on Full-Waveform Airborne Laser Scanning Data

TL;DR: Roughness is an important input parameter for modeling of natural hazards such as floods, rock falls and avalanches, where it is basically assumed that flow velocities decrease with increasing roughness.