Journal Guide

Leonardo, founded in 1968, has become an international channel of communication for artists who use science and developing technologies in their work. With emphasis on the artists' writings, Leonardo is the leading international journal for readers interested in the application of contemporary science and technology in their work. The companion annual journal, Leonardo Music Journal (LMJ) features the latest in music, multimedia art, sound science and technology.

Library & Information Science Research, a cross-disciplinary and refereed journal, focuses on the research process in library and information science as well as research findings and, where applicable, their practical applications and significance.All papers are subject to a double-blind reviewing process.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.comIn 2002, Elsevier launched Library Connect, a new initiative bringing together many of Elsevier's library-focused efforts. For more information about this initiative and to read or subscribe to the complimentary Library Connect Newsletter, please visit Library Connect

Library Collections, Acquisitions, and Technical Services provides a forumfor the international exchange of ideas and experiences among members of thelibrary collection management, technical services, vendor and publishingcommunities throughout the world. It is a comprehensive publicationdesigned to bring together many of the specializations within the broadareas of library collection management and technical services including, butby no means limited to, acquisition of books and serials in academic,public, school and special libraries; cataloging and authority control;outsourcing of technical services operations; electronic publications; giftsand exchanges; microforms and other nonprint media, such as electronicjournals; document delivery; networking, resource sharing and access; andpertinent library automation projects. In reflecting the broad, practicaland theoretical foundations of the discipline, LCATS publishes articlesbased on the practical work experiences of librarians, vendors andpublishers as well as research reports and papers on theory.In 2002, Elsevier launched Library Connect, a new initiative bringing together many of Elsevier's library-focused efforts. For more information about this initiative and to read or subscribe to the complimentary Library Connect Newsletter, please visit Library Connect.

Library Hi Tech is concerned with technology-assisted information systems that support libraries & cultural memory, education & the academy, health & medicine, and government & citizenship.

Library Hi Tech News publishes articles of varying lengths, reports from relevant conferences, and case studies of how technology is used in the library.

eLRTS, the searchable, digital version of Library Resources & Technical Services is now accessible at alcts.metapress.com. ALCTS members and LRTS subscribers will receive instructions for accessing the journal. Library Resources & Technical Services ( LRTS) is a peer-reviewed journal that takes a critical approach to the questions and challenges facing librarians and libraries with regard to: Collections Scholarly communication Preservation (including digitization) Acquisitions (including licensing and economic aspects of acquisitions) Continuing resources Cataloging (including descriptive metadata, authority control, subject analysis, and classification) LRTS publishes both research papers and thoughtful explorations of operational issues that have value and implications for other libraries. In addition, LRTS publishes editorials, book reviews, letters to the editor, and the annual report of the president of the Association for Library Collections & Technical Services.

Literary and Linguistic Computing is an international journal which publishes material on all aspects of computing and information technology applied to literature and language research and teaching. Papers include results of research projects, description and evaluation of techniques and methodologies, and reports on work in progress.

Logical Methods in Computer Science is a fully refereed, open access, free, electronic journal. It welcomes papers on theoretical and practical areas in computer science involving logical methods, taken in a broad sense; some particular areas within its scope are listed below. Papers are refereed in the traditional way, with two or more referees per paper. Copyright is retained by the author.Full-text access to all papers is freely available. No registration or subscription is required, and a free email notification service is available.Papers can be submitted electronically either as ps-files or as pdf-files. On acceptance, authors are asked to provide a source tex file as specified in the Information for Authors. Even though the Journal is divided into volumes for convenience, papers are published on the internet as soon as they are accepted for publication. The goal is to have a fast turnaround of about nine months from submission to publication.Logical Methods in Computer Science is an overlay journal of the Computing Research Repository (CoRR): see arXiv.org.A disk archive and a hardcopy of the contents of Logical Methods in Computer Science is maintained by the Department of Theoretical Computer Science at the Technical University of Braunschweig, Germany, and also by a large number of mirror sites around the world.

JSTOR is a not–for–profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive of over one thousand academic journals and other scholarly content. We use information technology and tools to increase productivity and facilitate new forms of scholarship. Welcome.

The International Journal of Automation and Computing (IJAC) publishes papers on original theoretical and experimental research and development in automation and computing. The scope of the journal is extensive. Topics include but are not limited to: Artificial intelligence, Automatic control, Bio-informatics, Computer science, Information technology, Modelling and simulation, Networks and communications, Optimization and decision, Pattern recognition, Robotics, Signal processing, Systems engineering.

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.

Machine Learning: Earth is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across all areas of Earth, environmental and climate sciences including efforts to ensure a sustainable future. The journal publishes research reporting data-driven approaches that advance our knowledge of the Earth system, and of the interactions between biosphere, hydrosphere, cryosphere, atmosphere and geosphere. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to Earth, environmental and climate science.