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.
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
2017214 citationsFabio Palomba, Gabriele Bavota et al.Empirical Software Engineeringprofile →
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 Rocco Oliveto'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 Rocco Oliveto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rocco Oliveto more than expected).
This network shows the impact of papers produced by Rocco Oliveto. 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 Rocco Oliveto. The network helps show where Rocco Oliveto may publish in the future.
Co-authorship network of co-authors of Rocco Oliveto
This figure shows the co-authorship network connecting the top 25 collaborators of Rocco Oliveto.
A scholar is included among the top collaborators of Rocco Oliveto 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 Rocco Oliveto. Rocco Oliveto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Palomba, Fabio, Annibale Panichella, Andy Zaidman, Rocco Oliveto, & Andrea De Lucia. (2018). [Journal First] The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. International Conference on Software Engineering.2 indexed citations
8.
Palomba, Fabio, Damian A. Tamburri, Alexander Serebrenik, et al.. (2018). Poster: How Do Community Smells Influence Code Smells?. International Conference on Software Engineering.2 indexed citations
9.
Palomba, Fabio, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, & Rocco Oliveto. (2017). Toward a Smell-Aware Bug Prediction Model. IEEE Transactions on Software Engineering. 45(2). 194–218.79 indexed citations
Lucia, Andrea De, Christian Bird, & Rocco Oliveto. (2015). Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension. International Conference on Software Engineering.22 indexed citations
Oliveto, Rocco, Malcom Gethers, Gabriele Bavota, Denys Poshyvanyk, & Andrea De Lucia. (2011). Identifying method friendships to remove the feature envy bad smell.. International Conference on Software Engineering. 820–823.13 indexed citations
Lucia, Andrea De, et al.. (2006). Improving Comprehensibility of Source Code via Traceability Information. 317–326.1 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.