Aldeida Aleti

2.0k total citations
89 papers, 1.2k citations indexed

About

Aldeida Aleti is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Aldeida Aleti has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 37 papers in Software and 34 papers in Information Systems. Recurrent topics in Aldeida Aleti's work include Software Reliability and Analysis Research (29 papers), Software Engineering Research (26 papers) and Software Testing and Debugging Techniques (20 papers). Aldeida Aleti is often cited by papers focused on Software Reliability and Analysis Research (29 papers), Software Engineering Research (26 papers) and Software Testing and Debugging Techniques (20 papers). Aldeida Aleti collaborates with scholars based in Australia, Germany and United States. Aldeida Aleti's co-authors include Lars Grunske, Irene Moser, Indika Meedeniya, Barbora Bühnová, Anne Koziolek, Chakkrit Tantithamthavorn, Antony Tang, Maziar Yazdani, Hans van Vliet and Janet E. Burge and has published in prestigious journals such as The Astrophysical Journal, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Aldeida Aleti

80 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aldeida Aleti Australia 18 558 444 432 423 181 89 1.2k
Paolo Arcaini Japan 19 621 1.1× 380 0.9× 598 1.4× 253 0.6× 271 1.5× 147 1.3k
Matthias Tichy Germany 17 466 0.8× 388 0.9× 539 1.2× 192 0.5× 187 1.0× 128 1.2k
Tomáš Bureš Czechia 16 543 1.0× 374 0.8× 175 0.4× 445 1.1× 88 0.5× 106 877
Holger Giese Germany 21 965 1.7× 700 1.6× 806 1.9× 488 1.2× 365 2.0× 188 1.7k
Doo‐Hwan Bae South Korea 21 400 0.7× 978 2.2× 946 2.2× 347 0.8× 121 0.7× 164 1.6k
Patrizia Scandurra Italy 15 471 0.8× 348 0.8× 336 0.8× 354 0.8× 159 0.9× 91 933
Javier Cámara United States 22 827 1.5× 582 1.3× 276 0.6× 631 1.5× 91 0.5× 83 1.2k
Federico Ciccozzi Sweden 15 364 0.7× 320 0.7× 415 1.0× 240 0.6× 67 0.4× 90 802
Dayang N. A. Jawawi Malaysia 18 500 0.9× 989 2.2× 631 1.5× 426 1.0× 130 0.7× 154 1.7k
Sílvia Regina Vergílio Brazil 25 665 1.2× 1.3k 2.9× 1.1k 2.7× 351 0.8× 178 1.0× 142 1.9k

Countries citing papers authored by Aldeida Aleti

Since Specialization
Citations

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

Fields of papers citing papers by Aldeida Aleti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldeida Aleti

This figure shows the co-authorship network connecting the top 25 collaborators of Aldeida Aleti. A scholar is included among the top collaborators of Aldeida Aleti 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 Aldeida Aleti. Aldeida Aleti 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
1.
Tantithamthavorn, Chakkrit, et al.. (2025). Enhancing large language models for text-to-testcase generation. Journal of Systems and Software. 230. 112531–112531.
2.
Ahmed, Iftekhar, Aldeida Aleti, Haipeng Cai, et al.. (2025). Artificial Intelligence for Software Engineering: The Journey So Far and the Road Ahead. ACM Transactions on Software Engineering and Methodology. 34(5). 1–27. 3 indexed citations
3.
Arora, Chetan, et al.. (2025). Requirements-Driven Automated Software Testing: A Systematic Review. ACM Transactions on Software Engineering and Methodology. 1 indexed citations
4.
Chong, Chun Yong, et al.. (2024). REARRANGE: Effort estimation approach for software clustering-based remodularisation. Information and Software Technology. 176. 107567–107567.
5.
Aleti, Aldeida, et al.. (2024). Instance Space Analysis of Testing of Autonomous Vehicles in Critical Scenarios. ACM Transactions on Software Engineering and Methodology. 34(3). 1–36.
6.
Aleti, Aldeida, et al.. (2024). Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features. ACM Transactions on Software Engineering and Methodology. 33(4). 1–32. 9 indexed citations
7.
Petke, Justyna, Matías Martínez, Maria Kechagia, Aldeida Aleti, & Federica Sarro. (2024). The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking. Monash University Research Portal (Monash University). 452–456. 1 indexed citations
8.
Turhan, Burak, et al.. (2024). On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing. ACM Transactions on Software Engineering and Methodology. 33(6). 1–27. 2 indexed citations
9.
10.
Martínez, Matías, et al.. (2024). Test-based patch clustering for automatically-generated patches assessment. Empirical Software Engineering. 29(5). 116–116. 3 indexed citations
11.
Feng, Sidong, et al.. (2024). Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat. Monash University Research Portal (Monash University). 1973–1978. 1 indexed citations
12.
Aleti, Aldeida, et al.. (2022). An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing. IEEE Transactions on Software Engineering. 49(1). 131–146. 8 indexed citations
13.
Aleti, Aldeida & Matías Martínez. (2021). E-APR: Mapping the effectiveness of automated program repair techniques. Empirical Software Engineering. 26(5). 10 indexed citations
14.
Thiruvady, Dhananjay, et al.. (2020). Multi-objective Beam-ACO for Maximising Reliability and Minimising Communication Overhead in the Component Deployment Problem. Algorithms. 13(10). 252–252. 3 indexed citations
15.
Casey, Andrew R., John C. Lattanzio, Aldeida Aleti, et al.. (2019). A Data-driven Model of Nucleosynthesis with Chemical Tagging in a Lower-dimensional Latent Space. The Astrophysical Journal. 887(1). 73–73. 9 indexed citations
16.
Aleti, Aldeida, et al.. (2018). Mapping the Effectiveness of Automated Test Suite Generation Techniques. IEEE Transactions on Reliability. 67(3). 771–785. 18 indexed citations
17.
Aleti, Aldeida, Irene Moser, & Lars Grunske. (2016). Analysing the fitness landscape of search-based software testing problems. Automated Software Engineering. 24(3). 603–621. 35 indexed citations
18.
Aleti, Aldeida & Irene Moser. (2016). A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. ACM Computing Surveys. 49(3). 1–35. 110 indexed citations
19.
Aleti, Aldeida, et al.. (2016). Can Monte-Carlo Tree Search learn to sacrifice?. Journal of Heuristics. 22(6). 783–813. 7 indexed citations
20.
Aleti, Aldeida & Lars Grunske. (2014). Test data generation with a Kalman filter-based adaptive genetic algorithm. Journal of Systems and Software. 103. 343–352. 22 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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