Engineering and Technology

  • Welcome to Elsevier Engineering and Technology journals. We publish more than 130 high quality titles covering key topics, including leading journals such as Computer Methods in Applied Mechanics and Engineering, Building and Environment, Journal of Sound and Vibration, International Journal of Heat and Mass Transfer, Journal of the Mechanics and Physics of Solids, International Journal of Solids and Structures and Automatica. Over 60% of those journals saw their Impact Factor increase in 2012.

    From 2013, all Elsevier owned journals offer authors the option to publish via the Open Access model.  For more information please visit http://www.elsevier.com/about/open-access/open-access-options

    We are also proud to publish many journals on behalf of, or in association with, prestigious Societies, including the International Academy of Astronautics (Acta Astronautica), the International Association for Wind Engineering (Journal of Wind Engineering & Industrial Aerodynamics), and the Society of Manufacturing Engineers (Journal of Manufacturing Systems, Journal of Manufacturing Processes and Manufacturing Letters).

    To the authors, reviewers and editors who continue to support the development of Elsevier and partner society Engineering and Technology journals, our sincere thanks for your ongoing contribution.

    The journals we publish are constantly developing in terms of aims and scope, editorial processes and online content innovation.  Community feedback plays an important role in this process and we welcome comments and suggestions related to existing titles, or ideas for new developments.

    Louise Curtis

    Publishing Director – Engineering

    louise.curtis@elsevier.com
     

  • Case Studies in

    New Open Access Journals

     Key elements of these new journals include:

    - Case Studies only: the journal will only accept case studies articles of up to 6 pages

    - Fast Publication: we are aiming at a publication turnaround from submission to publication of up to three months.

    - Open Access: articles will be freely available online, upon publication. Authors pay a publication fee after acceptance of their article 

    More information on our Case Studies In - titles

     

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Top 25 Most Downloaded

The Internet of Things: A survey • Article
Computer Networks, Volume 54, Issue 15, October 2010, Pages 2787-2805 | Atzori, L.; Iera, A.; Morabito, G.


Synthesis and surface engineering of iron oxide nanoparticles for biomedical applications • Review article
Biomaterials, Volume 26, Issue 18, June 2005, Pages 3995-4021 | Gupta, A.K.; Gupta, M.


Data-intensive applications, challenges, techniques and technologies: A survey on Big Data • Article
Information Sciences, Volume 275, August 2014, Pages 314-347 | Philip Chen, C.L.; Zhang, C.Y.


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News

Danckwerts Lecture: 2013 Danckwerts Special Issue on Molecular Modelling in Chemical Engineering
Thu, 18 Dec 2014 11:20:00 GMT

This special issue of Chemical Engineering Science was commissioned in the wake of Prof. Sharon Glotzer's 2013 Danckwerts Lecture in which molecular modelling featured. It is intended to demonstrate some of its potential in the field.


Call for Papers: Special Issue on Mining the Humanities: Technologies and Applications
Tue, 16 Dec 2014 00:00:00 GMT

The nature of humanistic data can be multimodal, semantically heterogeneous, dynamic, time and space-dependent, and highly complicated. Translating humanistic information, e.g., behaviour, state of mind, artistic creation, linguistic utterance, learning and genomic information into numerical or categorical low-level data is a significant challenge on its own. New techniques, appropriate to deal with this type of data, need to be proposed and existing ones adapted to its special characteristics. The purpose of this special issue is to bring together interdisciplinary approaches that focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (like decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, pre-processing, post processing, feature selection, visualization techniques) to data derived from all areas of Humanistic Sciences, e.g., linguistic, historical, behavioural, psychological, artistic, musical, educational, social, etc.. Research in this area is important to combine the fields of semantics and knowledge engineering within artificial intelligence framework, mainly because of the overwhelming amount and different types of disseminated information. High quality contributions addressing related theoretical and practical aspects are expected.


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