Hadi Hemmati

2.4k total citations · 1 hit paper
52 papers, 1.6k citations indexed

About

Hadi Hemmati is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Hadi Hemmati has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Information Systems, 35 papers in Software and 11 papers in Computer Networks and Communications. Recurrent topics in Hadi Hemmati's work include Software Engineering Research (33 papers), Software Testing and Debugging Techniques (32 papers) and Software Reliability and Analysis Research (29 papers). Hadi Hemmati is often cited by papers focused on Software Engineering Research (33 papers), Software Testing and Debugging Techniques (32 papers) and Software Reliability and Analysis Research (29 papers). Hadi Hemmati collaborates with scholars based in Canada, Norway and United States. Hadi Hemmati's co-authors include Lionel Briand, Shaukat Ali, Andrea Arcuri, Ahmed E. Hassan, Rajwinder Kaur Panesar-Walawege, Stephen W. Thomas, Dorothea Blostein, Gordon Fraser, Mika Mäntylä and Zhihan Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and IEEE Transactions on Reliability.

In The Last Decade

Hadi Hemmati

50 papers receiving 1.5k citations

Hit Papers

A Systematic Review of the Application and Empirical Inve... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hadi Hemmati Canada 20 1.2k 1.1k 478 282 86 52 1.6k
Martin Monperrus Sweden 19 1.4k 1.1× 1.4k 1.3× 412 0.9× 357 1.3× 336 3.9× 73 1.9k
Fabrizio Pastore Luxembourg 15 610 0.5× 613 0.6× 296 0.6× 234 0.8× 108 1.3× 65 961
Hyunsook Do United States 21 2.2k 1.8× 1.8k 1.7× 569 1.2× 195 0.7× 121 1.4× 71 2.5k
John H R May United Kingdom 11 857 0.7× 684 0.6× 267 0.6× 144 0.5× 66 0.8× 50 1.2k
Manuel Oriol Switzerland 18 613 0.5× 627 0.6× 372 0.8× 312 1.1× 95 1.1× 67 1.1k
Norman Wilde United States 17 702 0.6× 1.2k 1.1× 445 0.9× 580 2.1× 84 1.0× 66 1.4k
Alberto Avritzer United States 18 521 0.4× 582 0.5× 832 1.7× 339 1.2× 111 1.3× 85 1.2k
Welf Löwe Sweden 16 423 0.3× 711 0.7× 356 0.7× 429 1.5× 74 0.9× 122 1.0k
R.C. Linger United States 13 383 0.3× 552 0.5× 310 0.6× 268 1.0× 98 1.1× 34 914
Chunrong Fang China 21 694 0.6× 717 0.7× 304 0.6× 329 1.2× 356 4.1× 111 1.2k

Countries citing papers authored by Hadi Hemmati

Since Specialization
Citations

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

Fields of papers citing papers by Hadi Hemmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadi Hemmati

This figure shows the co-authorship network connecting the top 25 collaborators of Hadi Hemmati. A scholar is included among the top collaborators of Hadi Hemmati 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 Hadi Hemmati. Hadi Hemmati 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.
Nayebi, Maleknaz, et al.. (2025). Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. 490–502. 1 indexed citations
2.
Chowdhury, Shaiful, et al.. (2025). A systematic mapping study of crowd knowledge enhanced software engineering research using Stack Overflow. Journal of Systems and Software. 226. 112405–112405. 2 indexed citations
3.
Wang, Song, et al.. (2025). Automatic instantiation of assurance cases from patterns using large language models. Journal of Systems and Software. 222. 112353–112353. 2 indexed citations
4.
Chowdhury, Shaiful, Gias Uddin, Hadi Hemmati, & Reid Holmes. (2024). Method-level Bug Prediction: Problems and Promises. ACM Transactions on Software Engineering and Methodology. 33(4). 1–31. 7 indexed citations
5.
Hemmati, Hadi, et al.. (2024). Domain Adaptation for Code Model-Based Unit Test Case Generation. 1211–1222. 10 indexed citations
6.
Chowdhury, Shaiful, et al.. (2024). An empirical study on bug severity estimation using source code metrics and static analysis. Journal of Systems and Software. 217. 112179–112179. 1 indexed citations
7.
Hemmati, Hadi, et al.. (2024). Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Transactions on Software Engineering. 50(9). 2337–2349. 5 indexed citations
8.
Hemmati, Hadi, et al.. (2023). Improving Automated Program Repair with Domain Adaptation. ACM Transactions on Software Engineering and Methodology. 33(3). 1–43. 9 indexed citations
9.
Hemmati, Hadi, et al.. (2023). Log-based Anomaly Detection of Enterprise Software: An Empirical Study. 12–23. 1 indexed citations
10.
Souza, Roberto, et al.. (2023). Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. Empirical Software Engineering. 28(2). 2 indexed citations
11.
Hemmati, Hadi, et al.. (2023). Method-Level Bug Severity Prediction using Source Code Metrics and LLMs. 635–646. 5 indexed citations
12.
Souza, Roberto, et al.. (2022). A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers in Neuroinformatics. 16. 919779–919779. 3 indexed citations
13.
Boucher, Jean-Christophe, Jamie L. Benham, Madison M. Fullerton, et al.. (2021). Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study. SHILAP Revista de lepidopterología. 1(1). e28800–e28800. 38 indexed citations
14.
Hemmati, Hadi, et al.. (2017). Studying Test Case Failure Prediction for Test Case Prioritization. 2–11. 22 indexed citations
15.
Hemmati, Hadi. (2015). How Effective Are Code Coverage Criteria?. 151–156. 41 indexed citations
16.
17.
Malik, Haroon, Hadi Hemmati, & Ahmed E. Hassan. (2013). Automatic detection of performance deviations in the load testing of large scale systems. International Conference on Software Engineering. 1012–1021. 61 indexed citations
18.
Hemmati, Hadi, et al.. (2013). Regression-based utilization prediction algorithms: an empirical investigation. Conference of the Centre for Advanced Studies on Collaborative Research. 106–120. 5 indexed citations
19.
Hemmati, Hadi, Sarah Nadi, Olga Baysal, et al.. (2013). The MSR Cookbook: Mining a decade of research. 343–352. 35 indexed citations
20.
Hemmati, Hadi, Lionel Briand, Andrea Arcuri, & Shaukat Ali. (2010). An enhanced test case selection approach for model-based testing. 267–276. 42 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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