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Professional Collaborative Information Seeking: Towards Traceable Search and Creative Sensemaking Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Scientific Footprints in Digital Libraries

Authors : Claudia Ifrim, Xenia Koulouri, Manolis Wallace, Florin Pop, Mariana Mocanu, Valentin Cristea

Published in: Transactions on Computational Collective Intelligence XXVI

Publisher: Springer International Publishing

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Abstract

In recent years, members of the academic community have increasingly turned to digital libraries to follow the latest work within their own field and to estimate papers’, journals’ and researchers’ impact. Yet, despite the powerful indexing and searching tools available, identifying the most important works and authors in a field remains a challenging task, for which a wealth of prior information is needed; existing systems fail to identify and incorporate in their results information regarding connections between publications of different disciplines. In this paper we analyze citation lists in order to not only quantify but also understand impact, by tracing the “footprints” that authors have left, i.e. the specific areas in which they have made an impact. We use the publication medium (specific journal or conference) to identify the thematic scope of each paper and feed from existing digital libraries that index scientific activity, namely Google Scholar and DBLP. This allows us to design and develop a system, the Footprint Analyzer, that can be used to successfully identify the most prominent works and authors for each scientific field, regardless of whether their own research is limited to or even focused on the specific field. Various real life examples demonstrate the proposed concepts and actual results from the developed system’s operation prove the applicability and validity.

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Footnotes
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Metadata
Title
Scientific Footprints in Digital Libraries
Authors
Claudia Ifrim
Xenia Koulouri
Manolis Wallace
Florin Pop
Mariana Mocanu
Valentin Cristea
Copyright Year
2017
Book
Transactions on Computational Collective Intelligence XXVI

Print ISBN: 978-3-319-59267-1

Electronic ISBN: 978-3-319-59268-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59268-8_5

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