One method for assessing quality of research outputs across different technical disciplines is comparing citations received by the research output documents. However, cross-discipline citation comparison studies require discipline normalization, in order to eliminate discipline differences in cultural citation practices and discipline differences in number of active researchers available to cit...

This paper presents a citation analysis of Internext-Review of International Business to detect the impact caused by papers published for the period 2006-2013. The Publish or Perish (PoP) software is used, which retrieves articles and citations from Google Scholar database. As part of the applied indicators are: the distribution of authors by articles, citations per year, citation vs. selfcitat...

Background Good information on the harm of a drug is vital to inform risk-benefit decisions and undertake robust cost effectiveness analysis. Clinical trials reported in peerreviewed articles are not useful for this purpose [1,2]. Regulators require pharmaceutical companies to produce product information documents (Europe:SmPC, US:USPI). These documents contain comprehensive and valuable public...

Numerous articles and documents have been written about the management of distance education. The International Centre for Distance Learning (ICDL) Distance Education Library and the Educational Resources Information Center (ERIC) alone contain hundreds of such documents. Most of these documents, however, examine distance education policy, institution management, student support systems and stu...

In this paper we focus on methods, models and tools for the extraction of bilingual training / test sets useful for the (semi) automatic classification of textual documents. Such documents could be tutorials, technical specifications, articles, personal notes, etc. Another motivation for our research is the need for managing corpus of classified texts and especially parallel corpora (texts). We...

We have developed and used the “CDS document map” based on neural networks (Kohonen maps) http://simbad.u-strasbg.fr/A+A/map.pl In this self-organizing map, documents are gradually clustered by subject themes. The tool is based on keywords associated with the documents. For one selected document, we locate it on the CDS document map and retrieve articles clustered in the same area. The second s...

We present an oriented numerical summarizer algorithm, applied to producing automatic summaries of scientific documents in Organic Chemistry. We present its implementation named Yachs (Yet Another Chemistry Summarizer) that combines a specific document preprocessing with a sentence scoring method relying on the statistical properties of documents. We show that Yachs achieves the best results am...

Keyphrases for a document provide a high-level topic description of the document. Given the number of documents growing exponentially on the Web in the past years, accurate methods for extracting keyphrases from such documents are greatly needed. In this study, we provide a comparison of existing supervised approaches to this task to determine the current best performing model. We use research ...

Since most of news articles report several events and these events are referred in many related documents, we propose an event-based approach to visualize documents as graph on different conceptual granularities. With graphbased ranking algorithm, we illustrate the application of document graph to multi-document summarization. Experiments on DUC data indicate that our approach is competitive wi...