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.
Automatic Software Repair: A Survey
2017214 citationsLuca Gazzola, Daniela Micucci et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Leonardo Mariani
Since
Specialization
Citations
This map shows the geographic impact of Leonardo Mariani'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 Leonardo Mariani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Mariani more than expected).
Fields of papers citing papers by Leonardo Mariani
This network shows the impact of papers produced by Leonardo Mariani. 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 Leonardo Mariani. The network helps show where Leonardo Mariani may publish in the future.
Co-authorship network of co-authors of Leonardo Mariani
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Mariani.
A scholar is included among the top collaborators of Leonardo Mariani 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 Leonardo Mariani. Leonardo Mariani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fraser, Gordon, Thomas D. LaToza, Leonardo Mariani, Fabrizio Pastore, & Nikolai Tillmann. (2014). Proceedings of the Second International Workshop on CrowdSourcing in Software Engineering. International Conference on Software Engineering.2 indexed citations
Mariani, Leonardo & Xiangyu Zhang. (2011). Proceedings of the Ninth International Workshop on Dynamic Analysis. 44–44.1 indexed citations
13.
Gorla, Alessandra, et al.. (2010). Achieving Cost-Effective Software Reliability Through Self-Healing. BOA (University of Milano-Bicocca). 29(1). 93–115.12 indexed citations
14.
Whalen, Michael W., Patrice Godefroid, Leonardo Mariani, et al.. (2010). FITE. BOA (University of Milano-Bicocca). 401–406.8 indexed citations
15.
Confalonieri, Roberto, Marco Acutis, M.K. van Ittersum, et al.. (2005). WARM: a scientific group on rice modelling. Institutional Research Information System University of Turin (University of Turin).4 indexed citations
16.
Mariani, Leonardo & Reiko Heckel. (2004). Component Integration Testing by Graph Transformations. BOA (University of Milano-Bicocca).5 indexed citations
Mariani, Leonardo & Mauro Pezzè. (2003). Behavior Capture and Test for Controlling the Quality of Component-Based Integrated Systems. BOA (University of Milano-Bicocca). 23–28.3 indexed citations
19.
Corradini, Flavio, Leonardo Mariani, & Emanuela Merelli. (2003). An Agent-Based Layered Middleware as Tool Integration. BOA (University of Milano-Bicocca).7 indexed citations
20.
Bartocci, Ezio, Emanuela Merelli, & Leonardo Mariani. (2003). An XML View of the "World".. BOA (University of Milano-Bicocca). 1. 19–27.8 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.