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Institution

Vienna University of Technology

EducationVienna, Austria
About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Context (language use). The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.


Papers
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Journal ArticleDOI
15 Jul 2008-Sensors
TL;DR: A literature review is made that summarizes the problems encountered when parameterizing soil roughness as well as the reported impact of the errors made on the retrieved soil moisture.
Abstract: Synthetic Aperture Radar has shown its large potential for retrieving soil moisture maps at regional scales. However, since the backscattered signal is determined by several surface characteristics, the retrieval of soil moisture is an ill-posed problem when using single configuration imagery. Unless accurate surface roughness parameter values are available, retrieving soil moisture from radar backscatter usually provides inaccurate estimates. The characterization of soil roughness is not fully understood, and a large range of roughness parameter values can be obtained for the same surface when different measurement methodologies are used. In this paper, a literature review is made that summarizes the problems encountered when parameterizing soil roughness as well as the reported impact of the errors made on the retrieved soil moisture. A number of suggestions were made for resolving issues in roughness parameterization and studying the impact of these roughness problems on the soil moisture retrieval accuracy and scale.

289 citations

Journal ArticleDOI
01 Apr 2011-Energy
TL;DR: In this article, the authors compare the perspectives of quota-based certificate trading systems for an efficient and effective increase of renewable energy sources (RES-E) with feed-in-tariffs (FIT).

289 citations

Journal ArticleDOI
TL;DR: In this article, a review of Schiff base-derived homogeneous and heterogeneous palladium catalysts for Suzuki-Miyaura cross-coupling reactions is presented, which provides insights into the state-of-the-art in applications of these Schiff base derived Pd catalysts.

287 citations

Journal ArticleDOI
TL;DR: In this paper, the selectivity of catalysts with small and large metal particles was investigated for the hydrogenation of crotonaldehyde via the carbonyl bond in the presence of coordinatively unsaturated Ti cations in these oxide particles.

286 citations

Journal ArticleDOI
TL;DR: In this article, the primordial spectrum of density fluctuations in neutralino cold dark matter (CDM) has a sharp cutoff due to collisional damping during the kinetic decoupling of the neutralinos at about 30 MeV and free streaming after the last scattering of neutralinos.
Abstract: The lightest supersymmetric particle, most likely the neutralino, might account for a large fraction of dark matter in the Universe. We show that the primordial spectrum of density fluctuations in neutralino cold dark matter (CDM) has a sharp cutoff due to two damping mechanisms: collisional damping during the kinetic decoupling of the neutralinos at about 30 MeV (for typical neutralino and sfermion masses) and free streaming after the last scattering of neutralinos. The last scattering temperature is lower than the kinetic decoupling temperature by one order of magnitude. The cutoff in the primordial spectrum defines a minimal mass for CDM objects in hierarchical structure formation. For typical neutralino and sfermion masses the first gravitationally bound neutralino clouds have to have masses above ${10}^{\ensuremath{-}7}{M}_{\ensuremath{\bigodot}}.$

286 citations


Authors

Showing all 16934 results

NameH-indexPapersCitations
Krzysztof Matyjaszewski1691431128585
Wolfgang Wagner1562342123391
Marco Zanetti1451439104610
Sridhara Dasu1401675103185
Duncan Carlsmith1381660103642
Ulrich Heintz136168899829
Matthew Herndon133173297466
Frank Würthwein133158494613
Alain Hervé132127987763
Manfred Jeitler132127889645
David Taylor131246993220
Roberto Covarelli131151689981
Patricia McBride129123081787
David Smith1292184100917
Lindsey Gray129117081317
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023171
2022379
20212,530
20202,811
20192,846
20182,650