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Institution

Delft University of Technology

EducationDelft, Zuid-Holland, Netherlands
About: Delft University of Technology is a education organization based out in Delft, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37681 authors who have published 94404 publications receiving 2741710 citations. The organization is also known as: TU-Delft & Technische Hogeschool Delft.


Papers
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Journal ArticleDOI
TL;DR: This research proves that models like TAM should not treat mobile services as a generic concept, but instead to specifically address individual mobile services, and demonstrates the unique value of combining objective usage measurements with traditional survey data in more comprehensively modelling service adoption.

456 citations

Journal ArticleDOI
TL;DR: Information is provided about the validity of the Driver Behaviour Questionnaire that has strong relevance for researchers and road safety practitioners who seek to obtain insight into driving behaviors of a population of interest.

455 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied both the electron and hole conduction of nanotube transistors and found that the sensing mechanisms can be unambiguously identified from extensive protein-adsorption experiments on such devices.
Abstract: Carbon nanotube transistors have outstanding potential for electronic detection of biomolecules in solution The physical mechanism underlying sensing however remains controversial, which hampers full exploitation of these promising nanosensors Previously suggested mechanisms are electrostatic gating, changes in gate coupling, carrier mobility changes, and Schottky barrier effects We argue that each mechanism has its characteristic effect on the liquid gate potential dependence of the device conductance By studying both the electron and hole conduction, the sensing mechanisms can be unambiguously identified From extensive protein-adsorption experiments on such devices, we find that electrostatic gating and Schottky barrier effects are the two relevant mechanisms, with electrostatic gating being most reproducible If the contact region is passivated, sensing is shown to be dominated by electrostatic gating, which demonstrates that the sensitive part of a nanotube transistor is not limited to the contact region, as previously suggested Such a layout provides a reliable platform for biosensing with nanotubes

455 citations

Posted Content
TL;DR: It is concluded that in general Maps constructed using VOS provide a more satisfactory representation of a data set than maps constructed using well-known multidimensional scaling approaches.
Abstract: VOS is a new mapping technique that can serve as an alternative to the well-known technique of multidimensional scaling. We present an extensive comparison between the use of multidimensional scaling and the use of VOS for constructing bibliometric maps. In our theoretical analysis, we show the mathematical relation between the two techniques. In our experimental analysis, we use the techniques for constructing maps of authors, journals, and keywords. Two commonly used approaches to bibliometric mapping, both based on multidimensional scaling, turn out to produce maps that suffer from artifacts. Maps constructed using VOS turn out not to have this problem. We conclude that in general maps constructed using VOS provide a more satisfactory representation of a data set than maps constructed using well-known multidimensional scaling approaches.

453 citations


Authors

Showing all 38152 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Charles M. Lieber165521132811
Ad Bax13848697112
George C. Schatz137115594910
Georgios B. Giannakis137132173517
Jaap S. Sinninghe Damsté13472661947
Avelino Corma134104989095
Mark A. Ratner12796868132
Jing Kong12655372354
Robert J. Cava125104271819
Reza Malekzadeh118900139272
Jinde Cao117143057881
Mike S. M. Jetten11748852356
Liquan Chen11168944229
Oscar H. Franco11182266649
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023393
2022784
20215,396
20205,525
20195,230