Sonia Haiduc
- Information Systems top 0.5%
- Software top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Andrian MarcusJairo AponteLaura MorenoGabriele BavotaGregory GayRocco OlivetoSurafel Lemma AbebePaolo Tonella
- Topics
- Software Engineering Research (26 papers)Web Data Mining and Analysis (13 papers)Software Testing and Debugging Techniques (6 papers)
- Journals
- IEEE Transactions on Software EngineeringEmpirical Software EngineeringACM Transactions on Software Engineering and Methodology
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Sonia Haiduc
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Information Systems 1.1k
- Software 466
- Artificial Intelligence 444
- Computer Networks and Communications 257
- Signal Processing 156
Countries citing papers authored by Sonia Haiduc
This map shows the geographic impact of Sonia Haiduc'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 Sonia Haiduc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Haiduc more than expected).
Fields of papers citing papers by Sonia Haiduc
This network shows the impact of papers produced by Sonia Haiduc. 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 Sonia Haiduc. The network helps show where Sonia Haiduc may publish in the future.
Co-authorship network of co-authors of Sonia Haiduc
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Haiduc. A scholar is included among the top collaborators of Sonia Haiduc 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 Sonia Haiduc. Sonia Haiduc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 19 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | Mining & Modeling Unstructured Data in Software - Challenges for the Future (NII Shonan Meeting 2016-3). | 1 |
| 11 | 24 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 28 | |
| 16 | 204 | |
| 17 | On the Use of Automated Text Summarization Techniques for Summarizing Source Codebreakdown → | 283 |
| 18 | 142 | |
| 19 | 37 | |
| 20 | 50 |
About Sonia Haiduc
Sonia Haiduc is a scholar working on Software, Information Systems and Computer Science Applications, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (26 papers), Web Data Mining and Analysis (13 papers) and Software Testing and Debugging Techniques (6 papers). The work is most often cited by research in Software (466 citations), Information Systems (1.1k citations) and Computer Science Applications (121 citations). Sonia Haiduc has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Andrian Marcus, Jairo Aponte, Laura Moreno, Gabriele Bavota, Gregory Gay, Rocco Oliveto, Surafel Lemma Abebe, Paolo Tonella, Andrea De Lucia and Massimiliano Di Penta. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology.
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.