Mauro Pezzè

301 total papers · 7.5k total citations
185 papers, 3.8k citations indexed

About

Mauro Pezzè is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mauro Pezzè has authored 185 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Software, 105 papers in Information Systems and 64 papers in Computer Networks and Communications. Recurrent topics in Mauro Pezzè's work include Software Testing and Debugging Techniques (85 papers), Software Reliability and Analysis Research (70 papers) and Software Engineering Research (69 papers). Mauro Pezzè is often cited by papers focused on Software Testing and Debugging Techniques (85 papers), Software Reliability and Analysis Research (70 papers) and Software Engineering Research (69 papers). Mauro Pezzè collaborates with scholars based in Italy, Switzerland and United States. Mauro Pezzè's co-authors include Leonardo Mariani, Giovanni Denaro, Michal Young, Carlo Ghezzi, Sandro Morasca, Davide Lorenzoli, Alessandra Gorla, Dino Mandrioli, Luciano Baresi and Antonio Carzaniga and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Transactions on Control Systems Technology.

In The Last Decade

Mauro Pezzè

175 papers receiving 3.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mauro Pezzè 2.5k 2.3k 1.2k 942 619 185 3.8k
Robert M. Hierons 3.8k 1.5× 2.6k 1.1× 922 0.8× 853 0.9× 700 1.1× 246 4.9k
Yvan Labiche 3.6k 1.4× 3.1k 1.4× 958 0.8× 1.2k 1.2× 217 0.4× 124 4.5k
T.H. Tse 2.9k 1.1× 2.1k 0.9× 1.2k 1.0× 617 0.7× 198 0.3× 143 3.9k
D. Richard Kuhn 2.3k 0.9× 2.5k 1.1× 1.3k 1.0× 2.6k 2.7× 275 0.4× 122 5.8k
Alexander Pretschner 1.6k 0.6× 1.5k 0.7× 811 0.7× 1.2k 1.3× 440 0.7× 176 3.4k
Matthew B. Dwyer 3.8k 1.5× 2.0k 0.9× 1.1k 0.9× 2.1k 2.2× 2.1k 3.4× 168 5.5k
Leon J. Osterweil 1.3k 0.5× 2.3k 1.0× 915 0.7× 1.6k 1.7× 490 0.8× 204 4.0k
Antonia Bertolino 2.4k 0.9× 2.0k 0.9× 1.1k 0.9× 763 0.8× 155 0.3× 173 3.2k
Jeff Offutt 4.7k 1.9× 3.4k 1.5× 1.3k 1.0× 711 0.8× 324 0.5× 168 5.8k
Elaine J. Weyuker 6.0k 2.4× 4.7k 2.1× 2.1k 1.7× 1.2k 1.2× 390 0.6× 139 7.3k

Countries citing papers authored by Mauro Pezzè

Since Specialization
Citations

This map shows the geographic impact of Mauro Pezzè'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 Mauro Pezzè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Pezzè more than expected).

Fields of papers citing papers by Mauro Pezzè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Pezzè. 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 Mauro Pezzè. The network helps show where Mauro Pezzè may publish in the future.

Co-authorship network of co-authors of Mauro Pezzè

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Pezzè. A scholar is included among the top collaborators of Mauro Pezzè 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 Mauro Pezzè. Mauro Pezzè is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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