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.
A Survey on Software Fault Localization
2016656 citationsRui Abreu, Franz Wotawa et al.IEEE Transactions on Software Engineeringprofile →
On the Accuracy of Spectrum-based Fault Localization
2007524 citationsRui Abreu, Peter Zoeteweij et al.profile →
An Evaluation of Similarity Coefficients for Software Fault Localization
2006386 citationsRui Abreu, Peter Zoeteweij et al.profile →
A practical evaluation of spectrum-based fault localization
2009340 citationsRui Abreu, Peter Zoeteweij et al.profile →
Evaluating and Improving Fault Localization
2017288 citationsJosé Campos, Rui Abreu 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 Rui Abreu'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 Rui Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Abreu more than expected).
This network shows the impact of papers produced by Rui Abreu. 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 Rui Abreu. The network helps show where Rui Abreu may publish in the future.
Co-authorship network of co-authors of Rui Abreu
This figure shows the co-authorship network connecting the top 25 collaborators of Rui Abreu.
A scholar is included among the top collaborators of Rui Abreu 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 Rui Abreu. Rui Abreu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cruz, Luís & Rui Abreu. (2018). Poster: Measuring the Energy Footprint of Mobile Testing Frameworks. International Conference on Software Engineering.1 indexed citations
Cruz, Luís, et al.. (2015). A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.. Educational Data Mining. 392–395.10 indexed citations
12.
Cruz, Luís, et al.. (2015). A Comparative Study of Classification and Regression Algorithms for Modelling Students' Academic Performance.. Educational Data Mining.57 indexed citations
Piel, Éric, Alberto González-Sánchez, Hans‐Gerhard Gross, Arjan J. C. van Gemund, & Rui Abreu. (2012). Online Spectrum-based Fault Localization for Health Monitoring and Fault Recovery of Self-Adaptive Systems. 64–73.5 indexed citations
15.
Abreu, Rui, et al.. (2012). Constraint-based Debugging of Spreadsheets. Conferencia Iberoamericana de Software Engineering. 1–14.14 indexed citations
Abreu, Rui, Peter Zoeteweij, & Arjan J. C. van Gemund. (2009). A new bayesian approach to multiple intermittent fault diagnosis. International Joint Conference on Artificial Intelligence. 653–658.31 indexed citations
18.
Abreu, Rui & Arjan J. C. van Gemund. (2009). A Low-Cost Approximate Minimal Hitting Set Algorithm and Its Application to Model-Based Diagnosis ∗.59 indexed citations
Abreu, Rui, Alberto González, Peter Zoeteweij, & Arjan J. C. van Gemund. (2008). ON THE PERFORMANCE OF FAULT SCREENERS IN SOFTWARE DEVELOPMENT AND DEPLOYMENT. Data Archiving and Networked Services (DANS). 123–130.2 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.