Andrea Stocco
- Software top 0.5%
- Software Testing and Debugging Techniques 29
- Software Reliability and Analysis Research 8
- Information Systems top 1%
- Software Engineering Research 16
- Web Data Mining and Analysis 8
- Web Application Security Vulnerabilities 6
- Signal Processing top 5%
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- Software System Performance and Reliability 10
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 7
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- Adversarial Robustness in Machine Learning 9
- Co-authors
- Paolo TonellaFilippo RiccaGunel JahangirovaMaurizio LeottaVincenzo RiccioNargiz HumbatovaMichael WeißAli Mesbah
- Journals
- Behaviour Research and Therapy (1 paper)IEEE Transactions on Software Engineering (2 papers)Electric Power Systems Research (1 paper)
- Partner nations
- ItalySwitzerlandCanada
In The Last Decade
Andrea Stocco
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Software 716
- Information Systems 602
- Signal Processing 178
- Computer Networks and Communications 329
- Automotive Engineering 157
Countries citing papers authored by Andrea Stocco
This map shows the geographic impact of Andrea Stocco'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 Andrea Stocco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Stocco more than expected).
Fields of papers citing papers by Andrea Stocco
This network shows the impact of papers produced by Andrea Stocco. 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 Andrea Stocco. The network helps show where Andrea Stocco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Stocco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 46 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 96 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 15 | |
| 12 | Chapter Three - Three Open Problems in the Context of E2E Web Testing and a Vision: NEONATE. | 2019 | 1 |
| 13 | E2E Web Test Dependency Detection using NLP. | 2019 | 1 |
| 14 | 2019 | 54 | |
| 15 | 2019 | 41 | |
| 16 | 2016 | 40 | |
| 17 | 2015 | 55 | |
| 18 | 2014 | 21 | |
| 19 | 2013 | 5 | |
| 20 | 2008 | 50 |
About Andrea Stocco
Andrea Stocco is a scholar working on Software, Information Systems and Automotive Engineering, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (29 papers), Software Engineering Research (16 papers), Software System Performance and Reliability (10 papers), Adversarial Robustness in Machine Learning (9 papers), Software Reliability and Analysis Research (8 papers), Web Data Mining and Analysis (8 papers), Autonomous Vehicle Technology and Safety (7 papers) and Web Application Security Vulnerabilities (6 papers). The work is most often cited by research in Software (716 citations), Information Systems (602 citations) and Signal Processing (178 citations). Andrea Stocco has collaborated with scholars based in Italy, Switzerland and Canada. Frequent co-authors include Paolo Tonella, Filippo Ricca, Gunel Jahangirova, Maurizio Leotta, Vincenzo Riccio, Nargiz Humbatova, Michael Weiß, Ali Mesbah, Gabriele Bavota and R. Caldon. Their work appears in journals such as Behaviour Research and Therapy, IEEE Transactions on Software Engineering and Electric Power Systems Research.
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.