Patanamon Thongtanunam

1.5k total citations
45 papers, 1.0k citations indexed

About

Patanamon Thongtanunam is a scholar working on Information Systems, Software and Computer Science Applications. According to data from OpenAlex, Patanamon Thongtanunam has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Information Systems, 22 papers in Software and 12 papers in Computer Science Applications. Recurrent topics in Patanamon Thongtanunam's work include Software Engineering Research (37 papers), Software Engineering Techniques and Practices (17 papers) and Software Reliability and Analysis Research (13 papers). Patanamon Thongtanunam is often cited by papers focused on Software Engineering Research (37 papers), Software Engineering Techniques and Practices (17 papers) and Software Reliability and Analysis Research (13 papers). Patanamon Thongtanunam collaborates with scholars based in Australia, Japan and Canada. Patanamon Thongtanunam's co-authors include Hajimu Iida, Chakkrit Tantithamthavorn, Ahmed E. Hassan, Shane McIntosh, Kenichi Matsumoto, Raula Gaikovina Kula, Norihiro Yoshida, Jirayus Jiarpakdee, Hideaki Hata and Yang Hong and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Software.

In The Last Decade

Patanamon Thongtanunam

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patanamon Thongtanunam Australia 16 935 481 272 201 142 45 1.0k
Maurício Aniche Netherlands 17 636 0.7× 368 0.8× 153 0.6× 215 1.1× 133 0.9× 39 781
Moritz Beller Netherlands 13 945 1.0× 601 1.2× 177 0.7× 319 1.6× 138 1.0× 26 1.1k
Rabe Abdalkareem Canada 12 525 0.6× 192 0.4× 156 0.6× 173 0.9× 154 1.1× 31 655
Jacek Czerwonka United States 15 555 0.6× 432 0.9× 127 0.5× 165 0.8× 64 0.5× 29 712
Bogdan Dit United States 17 1.3k 1.3× 591 1.2× 181 0.7× 365 1.8× 416 2.9× 24 1.3k
Alexandre Decan Belgium 15 550 0.6× 146 0.3× 150 0.6× 248 1.2× 144 1.0× 35 685
Luca Pascarella Switzerland 16 654 0.7× 406 0.8× 71 0.3× 206 1.0× 222 1.6× 42 822
Elmar Juergens Germany 14 929 1.0× 630 1.3× 107 0.4× 186 0.9× 205 1.4× 41 1.0k
Qiao Huang China 13 633 0.7× 302 0.6× 73 0.3× 208 1.0× 231 1.6× 27 761
Sascha Just Germany 9 1.1k 1.2× 695 1.4× 191 0.7× 321 1.6× 167 1.2× 12 1.2k

Countries citing papers authored by Patanamon Thongtanunam

Since Specialization
Citations

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

Fields of papers citing papers by Patanamon Thongtanunam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patanamon Thongtanunam

This figure shows the co-authorship network connecting the top 25 collaborators of Patanamon Thongtanunam. A scholar is included among the top collaborators of Patanamon Thongtanunam 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 Patanamon Thongtanunam. Patanamon Thongtanunam 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.
Thongtanunam, Patanamon, et al.. (2025). Leveraging Reviewer Experience in Code Review Comment Generation. ACM Transactions on Software Engineering and Methodology.
2.
Liu, Chunhua, et al.. (2025). CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models. 9138–9166. 1 indexed citations
3.
Yang, Hong, et al.. (2024). Practitioners’ Challenges and Perceptions of CI Build Failure Predictions at Atlassian. 370–381. 1 indexed citations
4.
Thongtanunam, Patanamon, et al.. (2024). Curated Email-Based Code Reviews Datasets. 294–298. 1 indexed citations
5.
6.
Thongtanunam, Patanamon, et al.. (2024). A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile. ACM Computing Surveys. 56(11). 1–37. 2 indexed citations
7.
Liu, Yue, et al.. (2024). Automatically Recommend Code Updates: Are We There Yet?. ACM Transactions on Software Engineering and Methodology. 33(8). 1–27. 9 indexed citations
8.
Thongtanunam, Patanamon & Chakkrit Tantithamthavorn. (2024). Code Ownership: The Principles, Differences, and Their Associations with Software Quality. 379–390. 1 indexed citations
9.
Thongtanunam, Patanamon, et al.. (2024). An Empirical Study of Static Analysis Tools for Secure Code Review. 691–703. 5 indexed citations
10.
Hong, Yang, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, & Aldeida Aleti. (2024). Don’t forget to change these functions! recommending co-changed functions in modern code review. Information and Software Technology. 176. 107547–107547.
11.
Lyu, Michael R., Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, & Patanamon Thongtanunam. (2024). Automatic Programming: Large Language Models and Beyond. ACM Transactions on Software Engineering and Methodology. 34(5). 1–33. 5 indexed citations
12.
Tantithamthavorn, Chakkrit, et al.. (2023). D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation. 296–307. 6 indexed citations
13.
Thongtanunam, Patanamon, et al.. (2023). Repeated Builds During Code Review: An Empirical Study of the OpenStack Community. 153–165. 3 indexed citations
14.
Hoda, Rashina, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, & Margaret‐Anne Storey. (2023). Augmented Agile: Human-Centered AI-Assisted Software Management. IEEE Software. 40(4). 106–109. 5 indexed citations
15.
Kula, Raula Gaikovina, et al.. (2022). Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem. IEEE Transactions on Software Engineering. 49(4). 2566–2579. 4 indexed citations
16.
Thongtanunam, Patanamon, et al.. (2022). Story points changes in agile iterative development. Empirical Software Engineering. 27(6). 4 indexed citations
17.
Thongtanunam, Patanamon, et al.. (2020). Workload-aware reviewer recommendation using a multi-objective search-based approach. Minerva Access (University of Melbourne). 21–30. 29 indexed citations
18.
Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2018). Review participation in modern code review: An empirical study of the Android, Qt, and OpenStack projects (journal-first abstract). 475–475. 9 indexed citations
19.
Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2016). Review participation in modern code review. Empirical Software Engineering. 22(2). 768–817. 91 indexed citations
20.
Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2015). Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System. 168–179. 61 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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