Paolo Tonella

11.2k citations
272 papers · 7.1k indexed · 2 hit papers · h-index 46
Topics
Software Engineering Research (147 papers)Software Testing and Debugging Techniques (140 papers)Software Reliability and Analysis Research (79 papers)

In The Last Decade

Paolo Tonella

266 papers receiving 6.6k citations

Hit Papers

Automated Test Case Generation as a Many-Objective Optimi...20172026202020232017202050100150200

Peers

Paolo Tonella
Comparison fields: 5 of 109
  • Information Systems 4.9k
  • Software 4.1k
  • Artificial Intelligence 2.3k
  • Computer Networks and Communications 1.6k
  • Signal Processing 966
Replace Tsong Yueh Chen with:
Tsong Yueh Chen Australia
Andrea Arcuri Norway
Gordon Fraser Germany
Shing-Chi Cheung Hong Kong
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Baishakhi Ray United States
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Paolo Tonella relative to Tsong Yueh Chen Australia Tsong Yueh Chen's profile →
Citations per field
00.5×1.6×
Tsong Yueh Chen · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 7
5 1
6 1
7 8
8 4
9 30
10 4
11 41
12 5
13 14
14 9
15 19
16
The Species per Path Approach to Search-Based Software Test Data Generation
12
17
Reverse Engineering of Object Oriented Code (Monographs in Computer Science)
21
18
Test Management Automation: Lessons Learned from a Process Improvement Experiment (Short Paper)
1
19
Restructuring Program Identifier Names
78
20
Self-organizing Neural Network and Grey's Timbre Space
4

About Paolo Tonella

Paolo Tonella is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 272 papers that have together received 7.1k indexed citations. Recurring topics across this work include Software Engineering Research (147 papers), Software Testing and Debugging Techniques (140 papers) and Software Reliability and Analysis Research (79 papers). The work is most often cited by research in Software (4.1k citations), Information Systems (4.9k citations) and Signal Processing (966 citations). Paolo Tonella has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Filippo Ricca, Mariano Ceccato, Andrea Stocco, Alessandro Marchetto, Gunel Jahangirova, Fitsum Meshesha Kifetew, Giuliano Antoniol, Annibale Panichella, Mark Harman and Angelo Susi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, ACM Computing Surveys and IEEE Transactions on Software Engineering.

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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