Journal Guide

The Journal of Information Science (JIS) is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in information science and knowledge management. JIS is edited by Adrian Dale and published 6 times a year.

Yes. Different publishers have different policies and some journals publish unedited or partly edited versions of articles on their web sites, before publishing them in print. Palgrave Macmillan's policy, however, is to publish online only the final version of the paper, exactly as it will be published in the printed edition. The paper is thus complete in every respect except that instead of having a volume/issue/page number, it has a DOI (Digital Object Identifier). This means that the paper can be referenced as soon as it appears on the AOP site by using the DOI.

JIKM is a refereed journal published quarterly by World Scientific and dedicated to the exchange of the latest research and practical information in the field of information processing and knowledge management. The journal publishes original research and case studies by academic, business and government contributors on all aspects of information processing, information management, knowledge management, tools, techniques and technologies, knowledge creation and sharing, best practices, policies and guideline.

We are pleased to announce that an electronic submission and handling system, EES, has been implemented for Journal of Informetrics. This 'Elsevier Editorial System' (or EES) is a web-based system with full online submission, review and status update capabilities. EES allows you to upload files directly from your computer. This is all part of our ongoing efforts to improve the efficiency and accuracy of our editorial procedures and the quality and timeliness of the manuscripts published. EES can be accessed at: http://ees.elsevier.com/joi/ where first time users will have to register.Journal of Informetrics (JOI) publishes refereed articles on fundamental quantitative aspects of information science. The journal, although limited to -metrics aspects, has a broad scope: in principle, all quantitative analysis of original problems in information science are within the scope of JOI. Besides its generality, Journal of Informetrics focusses on papers describing fundamental methods and theories and/or universally important data, gathered in a non-trivial way. Fundamental methods comprise mathematical, probabilistic or statistical models and techniques as well as methods in operational research. These methods can serve the quantitative explanation of certain phenomena, evaluation of information and its producers as well as the management of libraries and other information centres.Journal of Informetrics has a special (though not exclusive) interest in inter- and multi-disciplinary papers, dealing with common aspects of (or possible differences between) several neighbouring disciplines such as quantitative linguistics, econometrics, biometrics and other -metrics fields. The aim is to lower the barriers between these fields, hence avoiding reformulation of similar problems, theories and solutions. Journal of Informetrics also welcomes certain papers from researchers who do not consider themselves as informetrists, for example research papers would be considered on the graph-theoretic description of networks.Journal of Informetrics also publishes papers that improve standardisation in informetrics. In general the journal aims to contribute to increasing the degree of "hardness" of the field, and to increase the degree of "exactness" of the scientific field of informetrics.The journal covers informetrics and considers it to comprise (or at least to include) fields such as bibliometrics, scientometrics, webometrics and cybermetrics. Specific topics can be described (non-exhaustively) as follows: informetric laws (including, but not exclusively: Lotka, Zipf, Bradford, Mandelbrot but also laws of growth and ageing or obsolescence) hereby also modelling generalised bibliographies, aspects of inequality or concentration (e.g. Lorenz theory) and diffusion, citation theory, linking theory, downloads, indicators (definitions and properties), evaluation techniques for scientific output (literature, persons) and for documentary systems (information retrieval) incl. ranking theory, library management, graph-theoretic and topological analysis of networks (incl. Internet, intranets, citation and collaboration networks), visualisation and mapping of science (persons, fields, institutes, topics,...).