Rahul Premraj

3.5k total citations · 2 hit papers
32 papers, 2.6k citations indexed

About

Rahul Premraj is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Rahul Premraj has authored 32 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 22 papers in Software and 13 papers in Computer Networks and Communications. Recurrent topics in Rahul Premraj's work include Software Engineering Research (30 papers), Software Reliability and Analysis Research (20 papers) and Software System Performance and Reliability (13 papers). Rahul Premraj is often cited by papers focused on Software Engineering Research (30 papers), Software Reliability and Analysis Research (20 papers) and Software System Performance and Reliability (13 papers). Rahul Premraj collaborates with scholars based in Netherlands, Germany and Canada. Rahul Premraj's co-authors include Thomas Zimmermann, Andreas Zeller, Nicolas Bettenburg, Cathrin Weiß, Adrian Schröter, Sascha Just, Sunghun Kim, Silvia Breu, Jonathan Sillito and Kim Herzig and has published in prestigious journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Journal of Software Evolution and Process.

In The Last Decade

Rahul Premraj

28 papers receiving 2.5k citations

Hit Papers

Predicting Defects for Eclipse 2007 2026 2013 2019 2007 2008 100 200 300 400 500
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. Predicting Defects for Eclipse
    2007 570 citations Thomas Zimmermann, Rahul Premraj et al. profile →
  2. What makes a good bug report?
    2008 425 citations Nicolas Bettenburg, Sascha Just 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
Rahul Premraj Netherlands 16 2.5k 1.7k 815 408 401 32 2.6k
Nicolas Bettenburg Canada 16 1.6k 0.6× 972 0.6× 432 0.5× 344 0.8× 323 0.8× 26 1.7k
Mark Grechanik United States 22 1.4k 0.6× 799 0.5× 538 0.7× 270 0.7× 192 0.5× 66 1.7k
Cathrin Weiß Germany 7 1.1k 0.4× 636 0.4× 546 0.7× 319 0.8× 181 0.5× 9 1.4k
Michael L. Collard United States 20 1.4k 0.6× 762 0.5× 392 0.5× 159 0.4× 191 0.5× 60 1.5k
Sunghun Kim United States 23 2.4k 1.0× 1.9k 1.1× 777 1.0× 388 1.0× 267 0.7× 43 2.6k
Suresh Thummalapenta United States 19 1.4k 0.6× 974 0.6× 452 0.6× 269 0.7× 130 0.3× 36 1.6k
David Hovemeyer United States 17 1.4k 0.5× 1.2k 0.7× 405 0.5× 336 0.8× 386 1.0× 34 2.0k
Malcom Gethers United States 21 1.8k 0.7× 910 0.6× 553 0.7× 188 0.5× 292 0.7× 31 1.9k
Radu Marinescu Romania 17 1.9k 0.8× 1.3k 0.8× 534 0.7× 269 0.7× 220 0.5× 41 2.0k
Tudor Gîrba Switzerland 21 1.6k 0.6× 631 0.4× 543 0.7× 116 0.3× 288 0.7× 67 1.7k

Countries citing papers authored by Rahul Premraj

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Premraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Premraj

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Premraj. A scholar is included among the top collaborators of Rahul Premraj 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 Rahul Premraj. Rahul Premraj 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.
Kim, Sunghun, et al.. (2013). Predicting method crashes with bytecode operations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3–12. 9 indexed citations
2.
Zimmermann, Thomas, Nachiappan Nagappan, Laurie Williams, Kim Herzig, & Rahul Premraj. (2011). An Empirical Study of the Factors Relating Field Failures and Dependencies.
3.
Premraj, Rahul, et al.. (2011). Approximating Change Sets at Philips Healthcare: A Case Study. 121–130. 6 indexed citations
4.
Nagappan, Nachiappan, et al.. (2011). An Empirical Study on the Relation between Dependency Neighborhoods and Failures. 347–356. 19 indexed citations
5.
Premraj, Rahul, et al.. (2011). Supporting software architects to improve their software system's decomposition – lessons learned. Journal of Software Evolution and Process. 25(3). 219–232. 4 indexed citations
6.
Premraj, Rahul, et al.. (2011). To branch or not to branch?. 81–90. 9 indexed citations
7.
Premraj, Rahul, et al.. (2010). Interactive Exploration of Co-evolving Software Entities. 260–263. 12 indexed citations
8.
Schröter, Adrian, Nicolas Bettenburg, & Rahul Premraj. (2010). Do stack traces help developers fix bugs?. VU Research Portal. 118–121. 115 indexed citations
9.
Breu, Silvia, Rahul Premraj, Jonathan Sillito, & Thomas Zimmermann. (2009). Appendix to Information Needs in Bug Reports: Improving Cooperation Between Developers and Users. PRISM (University of Calgary).
10.
Breu, Silvia, Rahul Premraj, Jonathan Sillito, & Thomas Zimmermann. (2009). Frequently Asked Questions in Bug Reports. PRISM (University of Calgary). 12 indexed citations
11.
Premraj, Rahul, et al.. (2009). How developer communication frequency relates to bug introducing changes. 153–158. 40 indexed citations
12.
Just, Sascha, et al.. (2008). What makes a good bug report?. VU Research Portal. 1 indexed citations
13.
Bettenburg, Nicolas, Rahul Premraj, Thomas Zimmermann, & Sunghun Kim. (2008). Duplicate bug reports considered harmful … really?. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 337–345. 221 indexed citations
14.
Bettenburg, Nicolas, Sascha Just, Adrian Schröter, et al.. (2008). What makes a good bug report?. 308–318. 425 indexed citations breakdown →
15.
Zimmermann, Thomas, Rahul Premraj, & Andreas Zeller. (2007). Predicting Defects for Eclipse. 1 indexed citations
16.
Weiß, Cathrin, Rahul Premraj, Thomas Zimmermann, & Andreas Zeller. (2007). Predicting Effort to Fix Software Bugs.. Softwaretechnik-Trends. 27. 13 indexed citations
17.
Zimmermann, Thomas, Rahul Premraj, & Andreas Zeller. (2007). Predicting Defects for Eclipse. 9–9. 570 indexed citations breakdown →
18.
Bettenburg, Nicolas, Sascha Just, Adrian Schröter, et al.. (2007). Quality of bug reports in Eclipse. 21–25. 87 indexed citations
19.
Premraj, Rahul, et al.. (2005). An Empirical Analysis of Software Productivity over Time. 37–37. 55 indexed citations
20.
Premraj, Rahul, et al.. (2004). Productivity of Software Projects by Business Sector An Empirical Analysis of Trends. 3 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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