Étiquette : Geography

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Our Study is Published, But the Journey is Not Finished!

Authors : Olivier Pourret, Katsuhiko Suzuki, Yoshio Takahashi

Each June, we receive e-mails from publishers welcoming the evolution of their journals’ journal impact factor (JIF). The JIF is a controversial metric (Callaway 2016), and it is worth asking, “What’s behind it?”

In this age of “publish or perish” (Harzing 2007), we take much time and effort to write our papers and get them published. But how much time and effort do we put into finding readers or ensuring that we are reaching the right audience? Are metrics, such as the JIF, good guides for how well we are doing at reaching our target audience?

DOI : https://doi.org/10.2138/gselements.16.4.229

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Les Sciences Humaines et Sociales, moteurs de l’accès ouvert : la preuve par Cybergeo

Auteurs/Authors : Christine Kosmopoulos, Denise Pumain

En mai 2016 Cybergeo : Revue européenne de géographie fêtait à l’Auditorium Marie Curie (CNRS, Paris) ses 20 années d’existence. Première revue nativement numérique en sciences sociales, Cybergeo s’inscrit en pionnière de la diffusion scientifique en libre accès.

Forte de ses 20 ans d’expérience, elle apporte la preuve qu’un modèle alternatif de diffusion de l’information scientifique est possible, ouvert et contrôlé par la communauté scientifique mondiale. Elle témoigne également du très fort impact de l’accès ouvert en sciences lorsqu’il s’accompagne d’une attention soutenue à l’innovation.

URL : https://journals.openedition.org/cybergeo/29209

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Exploration of an Interdisciplinary Scientific Landscape

Author : Juste Raimbault

Patterns of interdisciplinarity in science can be quantified through diverse complementary dimensions. This paper studies as a case study the scientific environment of a generalist journal in Geography, Cybergeo, in order to introduce a novel methodology combining citation network analysis and semantic analysis.

We collect a large corpus of around 200,000 articles with their abstracts and the corresponding citation network that provides a first citation classification. Relevant keywords are extracted for each article through text-mining, allowing us to construct a semantic classification.

We study the qualitative patterns of relations between endogenous disciplines within each classification, and finally show the complementarity of classifications and of their associated interdisciplinarity measures. The tools we develop accordingly are open and reusable for similar large scale studies of scientific environments.

URL : https://arxiv.org/abs/1712.00805