Sonia Haiduc

1.6k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Sonia Haiduc is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Sonia Haiduc has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in Sonia Haiduc's work include Software Engineering Research (26 papers), Web Data Mining and Analysis (13 papers) and Software Testing and Debugging Techniques (6 papers). Sonia Haiduc is often cited by papers focused on Software Engineering Research (26 papers), Web Data Mining and Analysis (13 papers) and Software Testing and Debugging Techniques (6 papers). Sonia Haiduc collaborates with scholars based in United States, Italy and Switzerland. Sonia Haiduc's 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 and has published in prestigious journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Sonia Haiduc

28 papers receiving 1.1k citations

Hit Papers

On the Use of Automated Text Summarization Techniques for... 2010 2026 2015 2020 2010 50 100 150 200 250
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.

  1. On the Use of Automated Text Summarization Techniques for Summarizing Source Code
    2010 283 citations Sonia Haiduc, Jairo Aponte et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Haiduc United States 17 1.1k 466 444 257 156 29 1.1k
Jairo Aponte Colombia 12 1.0k 0.9× 364 0.8× 514 1.2× 256 1.0× 129 0.8× 22 1.1k
Bogdan Dit United States 17 1.3k 1.2× 591 1.3× 416 0.9× 365 1.4× 122 0.8× 24 1.3k
Raymond P.L. Buse United States 11 767 0.7× 431 0.9× 249 0.6× 202 0.8× 111 0.7× 11 871
Peter Weißgerber Germany 9 1.0k 1.0× 599 1.3× 301 0.7× 353 1.4× 82 0.5× 13 1.1k
Adrian Kuhn Switzerland 13 927 0.9× 337 0.7× 415 0.9× 276 1.1× 95 0.6× 43 1.1k
Elmar Juergens Germany 14 929 0.9× 630 1.4× 205 0.5× 186 0.7× 216 1.4× 41 1.0k
Meghan Revelle United States 10 919 0.9× 437 0.9× 349 0.8× 283 1.1× 87 0.6× 11 958
Annie T. T. Ying United States 12 696 0.7× 360 0.8× 244 0.5× 267 1.0× 67 0.4× 19 730
Jafar M. Al-Kofahi United States 16 1.2k 1.1× 710 1.5× 281 0.6× 366 1.4× 292 1.9× 22 1.2k
Michael Würsch Switzerland 8 737 0.7× 436 0.9× 249 0.6× 254 1.0× 92 0.6× 15 779

Countries citing papers authored by Sonia Haiduc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Haiduc, Sonia, et al.. (2025). Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?. 1640–1652. 1 indexed citations
2.
Haiduc, Sonia, et al.. (2024). Investigating Developers' Preferences for Learning and Issue Resolution Resources in the ChatGPT Era. Zenodo (CERN European Organization for Nuclear Research). 413–425. 1 indexed citations
3.
Pantiuchina, Jevgenija, et al.. (2020). On the relationship between bug reports and queries for text retrieval-based bug localization. Empirical Software Engineering. 25(5). 3086–3127. 17 indexed citations
4.
Chakraborty, Shayok, et al.. (2019). Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. 103–113. 19 indexed citations
5.
6.
Bavota, Gabriele, et al.. (2017). Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks. ACM Transactions on Software Engineering and Methodology. 26(1). 1–45. 30 indexed citations
7.
Haiduc, Sonia, et al.. (2017). A Machine Learning Approach for Determining the Validity of Traceability Links. 121–123. 10 indexed citations
8.
Haiduc, Sonia, et al.. (2017). The Impact of Retrieval Direction on IR-Based Traceability Link Recovery. 51–54. 9 indexed citations
9.
Haiduc, Sonia, et al.. (2017). Text Retrieval-Based Tagging of Software Engineering Video Tutorials. 341–343. 13 indexed citations
10.
Haiduc, Sonia, Takashi Kobayashi, Michele Lanza, & Andrian Marcus. (2016). Mining & Modeling Unstructured Data in Software - Challenges for the Future (NII Shonan Meeting 2016-3).. 2016. 1 indexed citations
11.
Moreno, Laura, et al.. (2013). On the Relationship between the Vocabulary of Bug Reports and Source Code. 452–455. 24 indexed citations
12.
Haiduc, Sonia, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia, & Andrian Marcus. (2012). Automatic query performance assessment during the retrieval of software artifacts. View. 90–99. 28 indexed citations
13.
14.
Haiduc, Sonia & Andrian Marcus. (2011). On the Effect of the Query in IR-based Concept Location. 234–237. 10 indexed citations
15.
Abebe, Surafel Lemma, Sonia Haiduc, Paolo Tonella, & Andrian Marcus. (2011). The Effect of Lexicon Bad Smells on Concept Location in Source Code. 125–134. 28 indexed citations
16.
Haiduc, Sonia, Jairo Aponte, & Andrian Marcus. (2010). Supporting program comprehension with source code summarization. 223–226. 204 indexed citations
17.
Haiduc, Sonia, Jairo Aponte, Laura Moreno, & Andrian Marcus. (2010). On the Use of Automated Text Summarization Techniques for Summarizing Source Code. 35–44. 283 indexed citations breakdown →
18.
Gay, Gregory, et al.. (2009). On the use of relevance feedback in IR-based concept location. 142 indexed citations
19.
Abebe, Surafel Lemma, Sonia Haiduc, Paolo Tonella, & Andrian Marcus. (2009). Lexicon Bad Smells in Software. 95–99. 37 indexed citations
20.
Haiduc, Sonia & Andrian Marcus. (2008). On the Use of Domain Terms in Source Code. 113–122. 50 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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