AMSTERDAM, May 19, 2010 /PRNewswire/ -- Elsevier, the world-leading publisher of scientific, technical and medical information products and service, announced today the launch of the Journal of Computational Science (http://www.elsevier.com/locate/jocs). The journal aims to be an international platform to exchange important novel research results in simulation-based science across all scientific disciplines.
The Journal of Computational Science publishes advanced, innovative interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices. The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.
The editorial board is led by Editor in Chief, Professor Peter M.A. Sloot of the University of Amsterdam, NL. P.V. Coveney, University College London, UK and J. Dongarra, University of Tennessee, USA serve as associate editors.
The field of computational science is a rapidly advancing frontier research area, known as the third paradigm of science next to experimentation and theory, observed Editor in Chief Peter Sloot. The journal provides researchers with a single, convenient publication platform that offers top quality papers from a broad range of advanced computing and data analysis to understand and solve complex problems. It combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.
Rebecca Capone, journal development publisher for Elsevier commented, The Journal of Computational Science is an exciting opportunity for Elsevier to provide comprehensive coverage for this ever-expanding, multidisciplinary field. As a leading scientific and technical publisher, we are poised to realize the potential of the journal and look forward to being at the forefront of this rapidly emerging research area.
About Journal of Computational Science
The Journal of Computational Science (http://www.elsevier.com/locate/jocs ) will publish novel results in Computational Science. It aims to be an international platform to exchange important research results in simulation-based science across all scientific disciplines. This new Elsevier journal will contain advanced, innovative interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices.
About Elsevier
Elsevier is a world-leading publisher of scientific, technical and medical information products and services. The company works in partnership with the global science and health communities to publish more than 2,000 journals, including The Lancet (http://www.thelancet.com) and Cell (http://www.cell.com), and close to 20,000 book titles, including major reference works from Mosby and Saunders. Elsevier's online solutions include ScienceDirect (http://www.sciencedirect.com), Scopus (http://www.scopus.com), Reaxys (http://www.reaxys.com), MD Consult (http://www.mdconsult.com) and Nursing Consult (http://www.nursingconsult.com), which enhance the productivity of science and health professionals, and the SciVal suite (http://www.scival.com ) and MEDai's Pinpoint Review (http://www.medai.com), which help research and health care institutions deliver better outcomes more cost-effectively.
A global business headquartered in Amsterdam, Elsevier ( http://www.elsevier.com) employs 7,000 people worldwide. The company is part of Reed Elsevier Group PLC (http://www.reedelsevier.com), a world-leading publisher and information provider, which is jointly owned by Reed Elsevier PLC and Reed Elsevier NV. The ticker symbols are REN (Euronext Amsterdam), REL (London Stock Exchange), RUK and ENL (New York Stock Exchange).
Jason Awerdick +1-212-633-3103 j.awerdick@elsevier.com
SOURCE: Elsevier
CONTACT: Jason Awerdick, +1-212-633-3103, j.awerdick@elsevier.com
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