Following fields are empty!


1
Search
2
Select
3
Submit
1541
Journals

Request Journal

Please fill in the form to request a new journal to be added. We will review your request and add it to the Journal Guide as soon as possible.


*

Library Collections, Acquisitions, and Technical Services

ISSN: 1464-9055eISSN: 1873-1821

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

ISSN: 0737-8831eISSN: 2054-166X

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

ISSN: 0741-9058eISSN: 2054-1678

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

Library Resources & Technical Services

ISSN: 0024-2527eISSN: 2159-9610
DOAJ Logo

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.

Lingvisticæ Investigationes: International Journal of Linguistics and Language Resources

ISSN: 0378-4169eISSN: 1569-9927

Lingvisticæ Investigationes: International Journal of Linguistics and Language Resources

ISSN: 0378-4169eISSN: 1569-9927

Literary and Linguistic Computing

ISSN: 0268-1145eISSN: 1477-4615

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

ISSN: 1860-5974
DOAJ Logo

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.

Logos: Journal of the World Publishing Community

ISSN: 0957-9656eISSN: 1878-4712

MIS Quarterly

ISSN: 0276-7783

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.

Machine Graphics and Vision

ISSN: 1230-0535

Machine Intelligence Research

ISSN: 2731-538XeISSN: 2731-5398

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

ISSN: 0885-6125eISSN: 1573-0565

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

eISSN: 3049-4753

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.

Machine Learning: Engineering

eISSN: 3049-4761

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

Machine Learning: Health

eISSN: 3049-477X

Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across healthcare and the medical, biological, clinical, and health sciences. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.

Machine Learning: Science and Technology

eISSN: 2632-2153
DOAJ Logo

Machine Translation

ISSN: 0922-6567eISSN: 1573-0573

Machine Translation publishes original research papers on all aspects of MT, including (but not restricted to): - Statistical MT - Example-Based MT - Rule-Based MT - Hybrid MT - Spoken Language Translation - Discriminative MT - Evaluation in MT - MT Applications - Computer-Assisted Translation - Multilingual Corpus Resources - Tools for translators - The role of technology in translator training - MT and language teaching In addition, Machine Translation welcomes papers with a multilingual aspect from other areas of Computational Linguistics and Language Engineering, including: - text composition and generation - information retrieval - natural language interfaces - dialogue systems - message understanding systems - discourse phenomena - text mining - knowledge engineering - contrastive linguistics - morphology, syntax, semantics, pragmatics - computer-aided language instruction and learning - software localization and internationalization Machine Translation regularly focuses on issues of special interest, features a regular Book Review section, and welcomes other contributions of interest to the wide readership of the journal.

Machine Vision and Applications

ISSN: 0932-8092eISSN: 1432-1769

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

Machines

eISSN: 2075-1702
DOAJ Logo

Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: manuscripts regarding research proposals and research ideas will be particularly welcomed electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material

Malaysian Journal of Computer Science

ISSN: 0127-9084