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Ernesto Cilleruelo

Researcher at University of the Basque Country

Publications -  31
Citations -  552

Ernesto Cilleruelo is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Emerging technologies & Technology forecasting. The author has an hindex of 9, co-authored 31 publications receiving 509 citations.

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Tracking the evolution of waste recycling research using overlay maps of science

TL;DR: How ostensibly 'excellence-based' journal rankings exhibit a systematic bias in favour of mono-disciplinary research is illustrated, which is likely to affect negatively the evaluation and associated financial resourcing of interdisciplinary research organisations, and may result in researchers becoming more compliant with disciplinary authority over time.
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Public acceptance of renewables and the media: an analysis of the Spanish PV solar experience

TL;DR: In this paper, the authors analyze the media coverage that influences public acceptance, focusing on a specific case study: the extraordinary development of the Spanish PV sector during the period 2004-2010, a case that has gained international momentum.
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ISO 9001 and residential homes for the elderly: a Delphi study

TL;DR: ISO 9001 has certain shortcomings in the context of the residential aged‐care sector and there is a need to fit generic quality‐management models to the specific characteristics of the sector, and to integrate those generic quality management models with specialised models.
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TeknoRoadmap, an approach for depicting emerging technologies

TL;DR: This contribution aims to widen the scope compared to those provided by previous works within the field, and to that end, the depiction of emerging technologies is provided based on two main elements, namely: the profile of the research activity; and a complete technology roadmap.
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Design and Implementation of a Cloud Computing Adoption Decision Tool: Generating a Cloud Road

TL;DR: A real tool already implemented and tested, which can be used as a cloud computing adoption decision tool, which uses diagnosis based on specific questions to gather the required information and provide the user with valuable information to deploy the business within the cloud, specifically in the form of Software as a Service (SaaS) solutions.