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Bibliometric solutions for identifying potential collaborators

Name: Bibliometric solutions for identifying potential collaborators
Keywords: Benchmarking, Research, Sources, Scientists, Networks, Evaluation, Bibliometric, Collaboration, Social networks

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jan 2017 Spain English Publisher:EC3: Evaluación de la Ciencia y de la Comunicación Científica

Authors: Robinson García, Nicolás; Torres Salinas, Daniel;

doi: 10.5281/zenodo.904575

handle: 10481/47508

Bibliometric solutions for identifying potential collaborators

- Summary
- Subjects
- Metrics

Abstract

Bibliometric indicators and methodologies are commonly used for benchmarking institutions and individuals, and analyzing their research performance. Their potential for identifying partners and promoting collaboration is many times overseen by research institutions. In this presentation we will discuss different indicators and methodologies that can be used to spot institutions, research groups and individuals working on similar research fronts. By using different visualization techniques, we will provide examples on how to present these data in an appealing way which can inform university and research managers. These types of analyses are useful when searching for potential partners or designing strategies to establish scientific collaboration networks.

Country

Spain

Related Organizations

University of Granada
Spain

Keywords

Benchmarking, Research, Sources, Scientists, Networks, Evaluation, Bibliometric, Collaboration, Social networks

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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