6 citations · 10 across the 4 of their papers we have counts for
5 papers
Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures
Alexis-Michel Mugabushaka, Nees Jan van Eck, Ludo Waltman
To analyse the outcomes of the funding they provide, it is essential for funding agencies to be able to trace the publications resulting from their funding. We study the open avail…
Scholarly outputs of EU Research Funding Programs: Understanding differences between datasets of publications reported by grant holders and OpenAIRE Research Graph in H2020
Alexis-Michel Mugabushaka, Miriam Baglioni, Alessia Bardi +1
Linking research results to grants is an essential prerequisite for an effective monitoring and evaluation of funding programs. For the EU research funding programs, there are mult…
In Search of Outstanding Research Advances: Prototyping the creation of an open dataset of "editorial highlights"
Alexis-Michel Mugabushaka, Jasmin Sadat, Jorge Costa Dantas Faria
A long-standing research question in bibliometrics is how one identifies publications, which represent major advances in their fields, making high impact in there and other areas.…
Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects
Alexis-Michel Mugabushaka
Datasets explicitly linking publications to funding at project level are the basis of evaluative bibliometric analysis of funding programmes. Analysis of the impact of the EU fundi…
DINGO: an ontology for projects and grants linked data
Diego Chialva, Alexis-Michel Mugabushaka
We present DINGO (Data INtegration for Grants Ontology), an ontology that provides a machine readable extensible framework to model data for semantically-enabled applications relat…