Giovanni Grano

580 total citations
18 papers, 389 citations indexed

About

Giovanni Grano is a scholar working on Software, Information Systems and Signal Processing. According to data from OpenAlex, Giovanni Grano has authored 18 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Software, 14 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Giovanni Grano's work include Software Testing and Debugging Techniques (15 papers), Software Engineering Research (14 papers) and Software Reliability and Analysis Research (12 papers). Giovanni Grano is often cited by papers focused on Software Testing and Debugging Techniques (15 papers), Software Engineering Research (14 papers) and Software Reliability and Analysis Research (12 papers). Giovanni Grano collaborates with scholars based in Switzerland, Italy and Netherlands. Giovanni Grano's co-authors include Harald C. Gall, Fabio Palomba, Sebastiano Panichella, Andrea Di Sorbo, Corrado Aaron Visaggio, Rocco Oliveto, Adelina Ciurumelea, Simone Scalabrino, Alberto Bacchelli and Andrea De Lucia and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Empirical Software Engineering.

In The Last Decade

Giovanni Grano

18 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Grano Switzerland 13 296 254 71 68 51 18 389
Tadahiro Uehara Japan 10 201 0.7× 177 0.7× 145 2.0× 60 0.9× 24 0.5× 24 295
Yoonki Song United States 4 332 1.1× 234 0.9× 78 1.1× 113 1.7× 68 1.3× 4 397
Sven Amann Germany 11 282 1.0× 132 0.5× 119 1.7× 70 1.0× 71 1.4× 17 352
Bao N. Nguyen United States 4 147 0.5× 220 0.9× 77 1.1× 78 1.1× 29 0.6× 5 270
Fehmi Jaafar Canada 13 300 1.0× 126 0.5× 193 2.7× 122 1.8× 146 2.9× 58 409
Jinshui Wang China 8 216 0.7× 75 0.3× 53 0.7× 56 0.8× 102 2.0× 14 299
Maria Kechagia Greece 11 183 0.6× 107 0.4× 105 1.5× 51 0.8× 63 1.2× 27 303
Breno Miranda Brazil 11 330 1.1× 388 1.5× 126 1.8× 38 0.6× 53 1.0× 42 473
Diego Clerissi Italy 7 155 0.5× 169 0.7× 105 1.5× 27 0.4× 39 0.8× 25 245
Rafael S. Durelli Brazil 8 169 0.6× 129 0.5× 51 0.7× 23 0.3× 70 1.4× 32 224

Countries citing papers authored by Giovanni Grano

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Grano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Grano

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

All Works

18 of 18 papers shown
1.
Pecorelli, Fabiano, Giovanni Grano, Fabio Palomba, Harald C. Gall, & Andrea De Lucia. (2024). Toward granular search-based automatic unit test case generation. Empirical Software Engineering. 29(4). 1 indexed citations
2.
Sorbo, Andrea Di, Giovanni Grano, Corrado Aaron Visaggio, & Sebastiano Panichella. (2020). Investigating the criticality of user‐reported issues through their relations with app rating. Journal of Software Evolution and Process. 33(3). 26 indexed citations
3.
Grano, Giovanni, et al.. (2020). Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality. Zurich Open Repository and Archive (University of Zurich). 336–347. 21 indexed citations
4.
Grano, Giovanni, et al.. (2019). Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation. IEEE Transactions on Software Engineering. 47(11). 2332–2347. 17 indexed citations
5.
Grano, Giovanni, et al.. (2019). Replication Package "Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Grano, Giovanni, et al.. (2019). On the Effectiveness of Manual and Automatic Unit Test Generation: Ten Years Later. Zurich Open Repository and Archive (University of Zurich). 121–125. 13 indexed citations
7.
Grano, Giovanni, et al.. (2019). Replication Package - Branch Coverage Prediction in Automated Testing. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Grano, Giovanni, Fabio Palomba, & Harald C. Gall. (2019). Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators. IEEE Transactions on Software Engineering. 47(4). 758–774. 32 indexed citations
9.
Grano, Giovanni. (2019). A new dimension of test quality: assessing and generating higher quality unit test cases. Zurich Open Repository and Archive (University of Zurich). 419–423. 5 indexed citations
10.
Grano, Giovanni, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, & Harald C. Gall. (2019). Scented since the beginning: On the diffuseness of test smells in automatically generated test code. Journal of Systems and Software. 156. 312–327. 39 indexed citations
11.
Vassallo, Carmine, Giovanni Grano, Fabio Palomba, Harald C. Gall, & Alberto Bacchelli. (2019). A large-scale empirical exploration on refactoring activities in open source software projects. Science of Computer Programming. 180. 1–15. 38 indexed citations
12.
Grano, Giovanni, et al.. (2019). Branch coverage prediction in automated testing. Journal of Software Evolution and Process. 31(9). 23 indexed citations
13.
Grano, Giovanni, et al.. (2018). BECLoMA: Augmenting stack traces with user review information. Zurich Open Repository and Archive (University of Zurich). 522–526. 22 indexed citations
14.
Scalabrino, Simone, Giovanni Grano, Dario Di Nucci, et al.. (2018). OCELOT: a search-based test-data generation tool for C. Zurich Open Repository and Archive (University of Zurich). 868–871. 8 indexed citations
15.
Grano, Giovanni, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, & Harald C. Gall. (2018). Exploring the integration of user feedback in automated testing of Android applications. Zurich Open Repository and Archive (University of Zurich). 72–83. 38 indexed citations
16.
Grano, Giovanni, Simone Scalabrino, Harald C. Gall, & Rocco Oliveto. (2018). An empirical investigation on the readability of manual and generated test cases. Zurich Open Repository and Archive (University of Zurich). 348–351. 39 indexed citations
17.
Grano, Giovanni, et al.. (2018). How high will it be? Using machine learning models to predict branch coverage in automated testing. Zurich Open Repository and Archive (University of Zurich). 19–24. 22 indexed citations
18.
Grano, Giovanni, Andrea Di Sorbo, Francesco Mercaldo, et al.. (2017). Android apps and user feedback: a dataset for software evolution and quality improvement. Zurich Open Repository and Archive (University of Zurich). 8–11. 43 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tadahiro Uehara Breakdown of academic impact, for papers by Yoonki Song Breakdown of academic impact, for papers by Sven Amann Breakdown of academic impact, for papers by Bao N. Nguyen Breakdown of academic impact, for papers by Fehmi Jaafar Breakdown of academic impact, for papers by Jinshui Wang Breakdown of academic impact, for papers by Maria Kechagia Breakdown of academic impact, for papers by Breno Miranda Breakdown of academic impact, for papers by Diego Clerissi Breakdown of academic impact, for papers by Rafael S. Durelli
Rankless by CCL
2026