Paolo Tonella

11.2k total citations · 2 hit papers
272 papers, 7.1k citations indexed

About

Paolo Tonella is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Paolo Tonella has authored 272 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Information Systems, 161 papers in Software and 106 papers in Artificial Intelligence. Recurrent topics in Paolo Tonella's work include Software Engineering Research (147 papers), Software Testing and Debugging Techniques (140 papers) and Software Reliability and Analysis Research (79 papers). Paolo Tonella is often cited by papers focused on Software Engineering Research (147 papers), Software Testing and Debugging Techniques (140 papers) and Software Reliability and Analysis Research (79 papers). Paolo Tonella collaborates with scholars based in Italy, Switzerland and United Kingdom. Paolo Tonella's co-authors include Filippo Ricca, Mariano Ceccato, Andrea Stocco, Alessandro Marchetto, Gunel Jahangirova, Fitsum Meshesha Kifetew, Annibale Panichella, Giuliano Antoniol, Mark Harman and Angelo Susi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Paolo Tonella

266 papers receiving 6.6k citations

Hit Papers

align trajectories

What are hit papers?

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.

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

2017 227 citations Fitsum Meshesha Kifetew, Paolo Tonella et al. profile →
Taxonomy of real faults in deep learning systems

2020 192 citations Gunel Jahangirova, Andrea Stocco et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paolo Tonella Italy	46	4.9k	4.1k	2.3k	1.6k	966	272	7.1k
Tsong Yueh Chen Australia	48	3.9k 0.8×	6.8k 1.7×	1.5k 0.6×	1.7k 1.1×	918 1.0×	324	8.3k
Gordon Fraser Germany	45	4.6k 0.9×	6.0k 1.5×	866 0.4×	962 0.6×	796 0.8×	230	7.3k
Andrea Arcuri Norway	43	4.6k 1.0×	5.6k 1.4×	1.1k 0.5×	1.2k 0.8×	695 0.7×	119	6.7k
Abhik Roychoudhury Singapore	43	2.9k 0.6×	3.9k 1.0×	1.2k 0.5×	1.6k 1.0×	1.6k 1.7×	194	6.7k
Krzysztof Czarnecki Canada	44	6.3k 1.3×	3.4k 0.8×	6.4k 2.8×	2.4k 1.5×	168 0.2×	189	8.7k
Baishakhi Ray United States	26	1.9k 0.4×	1.4k 0.3×	1.4k 0.6×	776 0.5×	742 0.8×	81	3.6k
Annibale Panichella Netherlands	35	2.5k 0.5×	2.1k 0.5×	645 0.3×	820 0.5×	501 0.5×	113	3.5k
Shing-Chi Cheung Hong Kong	38	3.0k 0.6×	2.5k 0.6×	1.4k 0.6×	1.9k 1.2×	830 0.9×	261	5.3k
Phil McMinn United Kingdom	32	2.9k 0.6×	4.1k 1.0×	567 0.2×	846 0.5×	539 0.6×	112	4.9k
Hong Mei China	41	4.1k 0.8×	2.2k 0.5×	1.8k 0.8×	2.4k 1.5×	750 0.8×	307	6.0k

Countries citing papers authored by Paolo Tonella

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Tonella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Tonella

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

All Works

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20 of 20 papers shown

1.

Pietrantuono, Roberto, et al.. (2024). Reinforcement learning for online testing of autonomous driving systems: a replication and extension study. Empirical Software Engineering. 30(1). 19–19.

2.

Stocco, Andrea, et al.. (2023). Model vs system level testing of autonomous driving systems: a replication and extension study. Empirical Software Engineering. 28(3). 20 indexed citations

3.

Bertolino, Antonia, Guglielmo De Angelis, Breno Miranda, & Paolo Tonella. (2023). In vivo test and rollback of Java applications as they are. Software Testing Verification and Reliability. 33(7).

4.

Weiß, Michael & Paolo Tonella. (2023). Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. ACM Transactions on Software Engineering and Methodology. 33(1). 1–29. 1 indexed citations

5.

Weiß, Michael & Paolo Tonella. (2023). Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report. ACM Transactions on Software Engineering and Methodology. 33(1). 1–4. 1 indexed citations

6.

Weiß, Michael & Paolo Tonella. (2023). Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines. Software Testing Verification and Reliability. 33(6). 8 indexed citations

7.

Weiß, Michael, et al.. (2023). Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing. Empirical Software Engineering. 28(6). 4 indexed citations

8.

Stocco, Andrea, et al.. (2022). ThirdEye: Attention Maps for Safe Autonomous Driving Systems. 1–12. 30 indexed citations

9.

Ceccato, Mariano, et al.. (2020). A Framework for In-Vivo Testing of Mobile Applications. BOA (University of Milano-Bicocca). 4 indexed citations

10.

Jahangirova, Gunel & Paolo Tonella. (2020). An Empirical Evaluation of Mutation Operators for Deep Learning Systems. 74–84. 41 indexed citations

11.

Stocco, Andrea, et al.. (2019). E2E Web Test Dependency Detection using NLP.. arXiv (Cornell University). 1 indexed citations

12.

Carzaniga, Antonio, et al.. (2015). Intrinsic software redundancy for self-healing software systems, automated oracle generation.. 129–130. 1 indexed citations

13.

Tonella, Paolo, Cu Nguyen, Alessandro Marchetto, Kiran Lakhotia, & Mark Harman. (2013). Automated generation of state abstraction functions using data invariant inference. 75–81. 5 indexed citations

14.

Marchetto, Alessandro, Filippo Ricca, & Paolo Tonella. (2009). An empirical validation of a web fault taxonomy and its usage for web testing. Journal of Web Engineering. 8(4). 316–345. 14 indexed citations

15.

Nguyen, Cu, Anna Perini, & Paolo Tonella. (2008). eCAT: a tool for automating test cases generation and execution in testing multi-agent systems. Adaptive Agents and Multi-Agents Systems. 1669–1670. 9 indexed citations

16.

Nguyen, Cu, Anna Perini, & Paolo Tonella. (2008). Ontology-based test generation for multiagent systems. Adaptive Agents and Multi-Agents Systems. 1315–1320. 19 indexed citations

17.

McMinn, Phil, Mark Harman, David Binkley, & Paolo Tonella. (2006). The Species per Path Approach to Search-Based Software Test Data Generation. 13–24. 12 indexed citations

18.

Caprile, Bruno & Paolo Tonella. (2000). Restructuring Program Identifier Names. 97–107. 78 indexed citations

19.

Tonella, Paolo, et al.. (2000). Test Management Automation: Lessons Learned from a Process Improvement Experiment (Short Paper). 156–160. 1 indexed citations

20.

Poli, Giovanni De & Paolo Tonella. (1993). Self-organizing Neural Network and Grey's Timbre Space. The Journal of the Abraham Lincoln Association. 1993. 4 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.

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