Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES
2011354 citationsEduard Ayguadé, Rosa M. Badía et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Rosa M. Badía's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rosa M. Badía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa M. Badía more than expected).
This network shows the impact of papers produced by Rosa M. Badía. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rosa M. Badía. The network helps show where Rosa M. Badía may publish in the future.
Co-authorship network of co-authors of Rosa M. Badía
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa M. Badía.
A scholar is included among the top collaborators of Rosa M. Badía based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Rosa M. Badía. Rosa M. Badía is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Castro-Ginard, A., C. Jordi, X. Luri, et al.. (2020). Hunting for open clusters in Gaia DR2: 582 new OCs in the Galactic disc. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona).145 indexed citations
Ejarque, Jorge, et al.. (2010). Semantic resource allocation with historical data based predictions. SZTAKI Publication Repository (Hungarian Academy of Sciences).13 indexed citations
14.
Micsik, András, Jorge Ejarque, & Rosa M. Badía. (2010). A semantic toolkit for scheduling in cloud and grid platforms. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2010. 30–31.1 indexed citations
15.
Badía, Rosa M. & Nanbor Wang. (2009). Proceedings of the 2009 Workshop on Component-Based High Performance Computing. IEEE International Conference on High Performance Computing, Data, and Analytics.2 indexed citations
16.
Casas, Marc, Rosa M. Badía, & Jesús Labarta. (2008). 2008 IEEE International Conference on Cluster Computing. 242–251.1 indexed citations
Sadjadi, S. Masoud, et al.. (2007). Improving Separation of Concerns in the Development of Scientific Applications. Software Engineering and Knowledge Engineering. 456–461.1 indexed citations
19.
Badía, Rosa M., Christian Pérez, Artur Andrzejak, & Álvaro Arenas. (2007). Grid and cluster computing. 359–359.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.