Vidroha Debroy

1.9k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Vidroha Debroy is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Vidroha Debroy has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Software, 23 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Vidroha Debroy's work include Software Reliability and Analysis Research (24 papers), Software Testing and Debugging Techniques (24 papers) and Software Engineering Research (19 papers). Vidroha Debroy is often cited by papers focused on Software Reliability and Analysis Research (24 papers), Software Testing and Debugging Techniques (24 papers) and Software Engineering Research (19 papers). Vidroha Debroy collaborates with scholars based in United States, South Korea and Italy. Vidroha Debroy's co-authors include W. Eric Wong, Ruizhi Gao, Yihao Li, Byoungju Choi, W. Eric Wong, Xiaofeng Xu, Bhavani Thuraisingham, Richard M. Golden, Dianxiang Xu and Hyeon-Jeong Kim and has published in prestigious journals such as IEEE Software, IEEE Transactions on Reliability and Journal of Systems and Software.

In The Last Decade

Vidroha Debroy

32 papers receiving 1.3k citations

Hit Papers

The DStar Method for Effective Software Fault Localization 2013 2026 2017 2021 2013 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. The DStar Method for Effective Software Fault Localization
    2013 292 citations W. Eric Wong, Vidroha Debroy et al. IEEE Transactions on Reliability profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidroha Debroy United States 14 1.2k 971 361 98 54 32 1.3k
Fevzi Belli Germany 13 636 0.5× 278 0.3× 226 0.6× 142 1.4× 73 1.4× 99 733
Giovanni Denaro Italy 17 726 0.6× 673 0.7× 336 0.9× 230 2.3× 85 1.6× 68 960
Wolfgang Grieskamp United States 14 890 0.8× 461 0.5× 194 0.5× 247 2.5× 79 1.5× 45 1.0k
Dick Hamlet United States 14 916 0.8× 550 0.6× 150 0.4× 199 2.0× 60 1.1× 43 1.0k
Peter Zoeteweij Netherlands 13 1.6k 1.4× 1.3k 1.3× 601 1.7× 188 1.9× 83 1.5× 22 1.8k
Vadim Okun United States 11 692 0.6× 368 0.4× 123 0.3× 114 1.2× 94 1.7× 14 796
Niclas Ohlsson Sweden 8 797 0.7× 883 0.9× 297 0.8× 149 1.5× 20 0.4× 9 958
Yong Rae Kwon South Korea 13 794 0.7× 646 0.7× 146 0.4× 154 1.6× 119 2.2× 35 956
Neha Rungta United States 14 747 0.6× 530 0.5× 146 0.4× 201 2.1× 172 3.2× 47 905

Countries citing papers authored by Vidroha Debroy

Since Specialization
Citations

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

Fields of papers citing papers by Vidroha Debroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidroha Debroy

This figure shows the co-authorship network connecting the top 25 collaborators of Vidroha Debroy. A scholar is included among the top collaborators of Vidroha Debroy 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 Vidroha Debroy. Vidroha Debroy 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.
Debroy, Vidroha, et al.. (2019). Overcoming Challenges With Continuous Integration and Deployment Pipelines: An Experience Report From a Small Company. IEEE Software. 37(3). 21–29. 8 indexed citations
2.
Debroy, Vidroha, et al.. (2018). NewTL. 1568–1575. 2 indexed citations
3.
4.
5.
Wong, W. Eric, et al.. (2013). The Role of Software in Recent Catastrophic Accidents. 8 indexed citations
6.
Debroy, Vidroha & W. Eric Wong. (2013). Combining mutation and fault localization for automated program debugging. Journal of Systems and Software. 90. 45–60. 39 indexed citations
7.
Wong, W. Eric, Vidroha Debroy, Ruizhi Gao, & Yihao Li. (2013). The DStar Method for Effective Software Fault Localization. IEEE Transactions on Reliability. 63(1). 290–308. 292 indexed citations breakdown →
8.
Wong, W. Eric, Vidroha Debroy, Yihao Li, & Ruizhi Gao. (2012). Software Fault Localization Using DStar (D*). 21–30. 64 indexed citations
9.
Kim, Hyeon-Jeong, Doo‐Hwan Bae, Vidroha Debroy, & W. Eric Wong. (2011). Deriving Data Dependence from/for UML State Machine Diagrams. 30. 118–126. 5 indexed citations
10.
Debroy, Vidroha & W. Eric Wong. (2011). On the Consensus-Based Application of Fault Localization Techniques. 506–511. 7 indexed citations
11.
Wong, W. Eric, Vidroha Debroy, & Dianxiang Xu. (2011). Towards Better Fault Localization: A Crosstab-Based Statistical Approach. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(3). 378–396. 78 indexed citations
12.
Debroy, Vidroha & W. Eric Wong. (2011). On the equivalence of certain fault localization techniques. 1457–1463. 6 indexed citations
13.
Debroy, Vidroha & W. Eric Wong. (2011). A consensus‐based strategy to improve the quality of fault localization. Software Practice and Experience. 43(8). 989–1011. 24 indexed citations
14.
Choi, Byoungju, et al.. (2011). Mutant generation for embedded systems using kernel-based software and hardware fault simulation. Information and Software Technology. 53(10). 1153–1164. 6 indexed citations
15.
Wong, W. Eric, Antonia Bertolino, Vidroha Debroy, et al.. (2011). Teaching software testing: Experiences, lessons learned and the path forward. 530–534. 13 indexed citations
16.
Debroy, Vidroha, W. Eric Wong, Xiaofeng Xu, & Byoungju Choi. (2010). A Grouping-Based Strategy to Improve the Effectiveness of Fault Localization Techniques. 13–22. 56 indexed citations
17.
Debroy, Vidroha & W. Eric Wong. (2010). On the estimation of adequate test set size using fault failure rates. Journal of Systems and Software. 84(4). 587–602. 6 indexed citations
18.
Debroy, Vidroha & W. Eric Wong. (2010). Using Mutation to Automatically Suggest Fixes for Faulty Programs. 65–74. 156 indexed citations
19.
Debroy, Vidroha & W. Eric Wong. (2009). Are Fault Failure Rates Good Estimators of Adequate Test Set Size?. 32. 229–238. 2 indexed citations
20.
Wong, W. Eric, Vidroha Debroy, & Byoungju Choi. (2009). A family of code coverage-based heuristics for effective fault localization. Journal of Systems and Software. 83(2). 188–208. 164 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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