Chanchal K. Roy

9.3k total citations · 4 hit papers
214 papers, 5.6k citations indexed

About

Chanchal K. Roy is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Chanchal K. Roy has authored 214 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Information Systems, 111 papers in Software and 60 papers in Signal Processing. Recurrent topics in Chanchal K. Roy's work include Software Engineering Research (184 papers), Software Reliability and Analysis Research (79 papers) and Advanced Malware Detection Techniques (59 papers). Chanchal K. Roy is often cited by papers focused on Software Engineering Research (184 papers), Software Reliability and Analysis Research (79 papers) and Advanced Malware Detection Techniques (59 papers). Chanchal K. Roy collaborates with scholars based in Canada, United States and Bangladesh. Chanchal K. Roy's co-authors include James R. Cordy, Kevin A. Schneider, Jeffrey Svajlenko, Rainer Koschke, Manishankar Mondal, Muhammad Asaduzzaman, Minhaz F. Zibran, Mohammad Masudur Rahman, Iman Keivanloo and Ripon K. Saha and has published in prestigious journals such as IEEE Access, IEEE Transactions on Software Engineering and Applied Sciences.

In The Last Decade

Chanchal K. Roy

198 papers receiving 5.3k citations

Hit Papers

Comparison and evaluation of code clone detection techniq... 2007 2026 2013 2019 2009 2007 2008 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chanchal K. Roy Canada 34 5.2k 3.5k 2.1k 1.1k 963 214 5.6k
Tegawendé F. Bissyandé Luxembourg 32 2.5k 0.5× 2.0k 0.6× 2.4k 1.1× 768 0.7× 1.3k 1.4× 173 3.7k
Yasutaka Kamei Japan 27 3.1k 0.6× 2.2k 0.6× 339 0.2× 620 0.6× 968 1.0× 126 3.5k
Xiaoyin Wang United States 24 1.8k 0.3× 1.1k 0.3× 755 0.4× 533 0.5× 729 0.8× 107 2.3k
Fei‐Ching Kuo Australia 25 1.3k 0.2× 2.2k 0.6× 346 0.2× 472 0.4× 497 0.5× 83 2.7k
Guozhu Meng China 21 844 0.2× 601 0.2× 833 0.4× 439 0.4× 556 0.6× 48 1.6k
Yulei Sui Australia 27 1.3k 0.3× 1.1k 0.3× 1.0k 0.5× 1.0k 0.9× 580 0.6× 120 2.3k
Dario Di Nucci Italy 24 1.2k 0.2× 825 0.2× 400 0.2× 256 0.2× 408 0.4× 70 1.5k
David Bowes United Kingdom 21 2.1k 0.4× 1.8k 0.5× 131 0.1× 458 0.4× 629 0.7× 58 2.2k
Letha H. Etzkorn United States 21 1.5k 0.3× 840 0.2× 147 0.1× 642 0.6× 370 0.4× 94 1.8k
Felix Freiling Germany 27 1.4k 0.3× 271 0.1× 2.1k 1.0× 1.5k 1.4× 1.9k 1.9× 156 3.1k

Countries citing papers authored by Chanchal K. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Chanchal K. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chanchal K. Roy. 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 Chanchal K. Roy. The network helps show where Chanchal K. Roy may publish in the future.

Co-authorship network of co-authors of Chanchal K. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Chanchal K. Roy. A scholar is included among the top collaborators of Chanchal K. Roy 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 Chanchal K. Roy. Chanchal K. Roy 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
2.
Mandal, Ashis Kumar, et al.. (2025). Quantum software engineering and potential of quantum computing in software engineering research: a review. Automated Software Engineering. 32(1). 1 indexed citations
3.
Mondal, Saikat, Mohammad Masudur Rahman, & Chanchal K. Roy. (2024). Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets. 764–775. 2 indexed citations
4.
Roy, Chanchal K., et al.. (2024). Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study. 217–221. 3 indexed citations
5.
Uddin, Gias, et al.. (2022). An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. ACM Transactions on Software Engineering and Methodology. 31(3). 1–38. 7 indexed citations
6.
Mondal, Manishankar, Banani Roy, Chanchal K. Roy, & Kevin A. Schneider. (2021). ID-correspondence: a measure for detecting evolutionary coupling. Empirical Software Engineering. 26(1). 1 indexed citations
7.
Rahman, Mohammad Masudur, et al.. (2019). Can Issues Reported at Stack Overflow Questions be Reproduced? An Exploratory Study. 479–489. 14 indexed citations
8.
Mondal, Manishankar, Banani Roy, Chanchal K. Roy, & Kevin A. Schneider. (2019). Investigating the relationship between evolutionary coupling and software bug-proneness.. Conference of the Centre for Advanced Studies on Collaborative Research. 173–182. 3 indexed citations
9.
Mondal, Manishankar, Chanchal K. Roy, & Kevin A. Schneider. (2016). An exploratory study on change suggestions for methods using clone detection. 85–95. 1 indexed citations
10.
Rahman, Mohammad Masudur & Chanchal K. Roy. (2015). An insight into the unresolved questions at stack overflow. 426–429. 11 indexed citations
11.
Roy, Chanchal K., et al.. (2015). Towards convenient management of software clone codes in practice: an integrated approach. 211–220. 1 indexed citations
12.
Mondal, Manishankar, Chanchal K. Roy, & Kevin A. Schneider. (2015). An empirical study on change recommendation. 141–150. 2 indexed citations
13.
Roy, Chanchal K., et al.. (2015). How should we read and analyze bug reports: an interactive visualization using extractive summaries and topic evolution. 171–180. 1 indexed citations
14.
Roy, Chanchal K., Andrew Begel, & Leon Moonen. (2014). Proceedings of the 22nd International Conference on Program Comprehension. International Conference on Software Engineering. 2 indexed citations
15.
Asaduzzaman, Muhammad, et al.. (2013). Answering questions about unanswered questions of Stack Overflow. 97–100. 140 indexed citations
16.
Svajlenko, Jeffrey, Iman Keivanloo, & Chanchal K. Roy. (2013). Scaling classical clone detection tools for ultra-large datasets: an exploratory study. 16–22. 10 indexed citations
17.
Svajlenko, Jeffrey, Chanchal K. Roy, & James R. Cordy. (2013). A mutation analysis based benchmarking framework for clone detectors. 8–9. 23 indexed citations
18.
Mondal, Manishankar, Chanchal K. Roy, & Kevin A. Schneider. (2012). Dispersion of changes in cloned and non-cloned code. 29–35. 9 indexed citations
19.
Cordy, James R. & Chanchal K. Roy. (2011). Tuning research tools for scalability and performance: The NiCad experience. Science of Computer Programming. 79. 158–171. 10 indexed citations
20.
Roy, Chanchal K. & James R. Cordy. (2005). Evaluating the Evolution of Small Scale Open Source Software Systems. Research in computing science. 23. 123–136. 4 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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