Luca Gazzola

17 total papers · 578 total citations
10 papers, 372 citations indexed

About

Luca Gazzola is a scholar working on Software, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Luca Gazzola has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Software, 6 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Luca Gazzola's work include Software Testing and Debugging Techniques (8 papers), Software System Performance and Reliability (6 papers) and Software Reliability and Analysis Research (6 papers). Luca Gazzola is often cited by papers focused on Software Testing and Debugging Techniques (8 papers), Software System Performance and Reliability (6 papers) and Software Reliability and Analysis Research (6 papers). Luca Gazzola collaborates with scholars based in Italy, Switzerland and United States. Luca Gazzola's co-authors include Leonardo Mariani, Daniela Micucci, Andrea Arcuri, Gordon Fraser, Phil McMinn, José Miguel Rojas, Antonia Bertolino, Pietro Braione, Paolo Tonella and Roberto Pietrantuono and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Software Testing Verification and Reliability.

In The Last Decade

Luca Gazzola

10 papers receiving 369 citations

Hit Papers

Automatic Software Repair... 2017 2026 2020 2023 2017 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Luca Gazzola 295 222 92 69 58 10 372
Pietro Braione 288 1.0× 270 1.2× 79 0.9× 53 0.8× 72 1.2× 20 380
Jibesh Patra 249 0.8× 257 1.2× 54 0.6× 88 1.3× 91 1.6× 7 339
Sebastian Ng 264 0.9× 173 0.8× 55 0.6× 54 0.8× 37 0.6× 17 398
Chengsong Wang 375 1.3× 319 1.4× 73 0.8× 38 0.6× 45 0.8× 15 433
Martha Branstad 169 0.6× 179 0.8× 74 0.8× 150 2.2× 48 0.8× 16 370
Ziying Dai 336 1.1× 291 1.3× 77 0.8× 44 0.6× 43 0.7× 15 375
Tianxiao Gu 249 0.8× 249 1.1× 138 1.5× 111 1.6× 164 2.8× 25 409
Yoann Padioleau 183 0.6× 255 1.1× 178 1.9× 145 2.1× 87 1.5× 13 394
Xun Yuan 374 1.3× 191 0.9× 128 1.4× 38 0.6× 88 1.5× 14 412
Vilas Jagannath 347 1.2× 235 1.1× 112 1.2× 47 0.7× 43 0.7× 13 398

Countries citing papers authored by Luca Gazzola

Since Specialization
Citations

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

Fields of papers citing papers by Luca Gazzola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Gazzola

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Gazzola. A scholar is included among the top collaborators of Luca Gazzola 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 Luca Gazzola. Luca Gazzola 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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