Gregory Gay

1.3k total citations
49 papers, 729 citations indexed

About

Gregory Gay is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Gregory Gay has authored 49 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Software, 37 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Gregory Gay's work include Software Engineering Research (35 papers), Software Testing and Debugging Techniques (33 papers) and Software Reliability and Analysis Research (25 papers). Gregory Gay is often cited by papers focused on Software Engineering Research (35 papers), Software Testing and Debugging Techniques (33 papers) and Software Reliability and Analysis Research (25 papers). Gregory Gay collaborates with scholars based in United States, Sweden and United Kingdom. Gregory Gay's co-authors include Mats P. E. Heimdahl, Tim Menzies, Matt Staats, Sonia Haiduc, Andrian Marcus, Michael W. Whalen, Burak Turhan, Bojan Čukić, Ayşe Bener and Yue Jiang and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Software and Journal of Systems and Software.

In The Last Decade

Gregory Gay

43 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Gay United States 13 570 527 172 150 50 49 729
José Campos Portugal 13 704 1.2× 811 1.5× 204 1.2× 142 0.9× 85 1.7× 35 971
Allen P. Nikora United States 14 422 0.7× 481 0.9× 199 1.2× 123 0.8× 24 0.5× 58 677
Mithun Acharya United States 10 343 0.6× 247 0.5× 415 2.4× 184 1.2× 67 1.3× 19 696
Caroline Lemieux United States 9 329 0.6× 419 0.8× 112 0.7× 178 1.2× 168 3.4× 21 607
Beibei Yin China 12 257 0.5× 244 0.5× 200 1.2× 110 0.7× 24 0.5× 56 458
Cu Nguyen Italy 14 371 0.7× 329 0.6× 188 1.1× 211 1.4× 139 2.8× 40 580
Yong Rae Kwon South Korea 13 646 1.1× 794 1.5× 146 0.8× 154 1.0× 119 2.4× 35 956
Thibaud Lutellier Canada 11 488 0.9× 398 0.8× 218 1.3× 334 2.2× 121 2.4× 13 745
Wensheng Dou China 15 228 0.4× 242 0.5× 290 1.7× 124 0.8× 57 1.1× 60 531

Countries citing papers authored by Gregory Gay

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Gay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Gay

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Gay. A scholar is included among the top collaborators of Gregory Gay 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 Gregory Gay. Gregory Gay 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.
Gay, Gregory, et al.. (2024). An intelligent test management system for optimizing decision making during software testing. Journal of Systems and Software. 219. 112202–112202. 4 indexed citations
2.
Neto, Francisco Gomes de Oliveira, et al.. (2024). Integrating Mutation Testing Into Developer Workflow: An Industrial Case Study. Chalmers Research (Chalmers University of Technology). 2110–2120.
3.
Gay, Gregory, et al.. (2024). Scoping of Non-Functional Requirements for Machine Learning Systems. Chalmers Research (Chalmers University of Technology). 496–497. 1 indexed citations
4.
Heyn, Hans-Martin, Gregory Gay, Jennifer Horkoff, et al.. (2024). Requirements and software engineering for automotive perception systems: an interview study. Requirements Engineering. 29(1). 25–48. 4 indexed citations
5.
Abrahão, Silvia, et al.. (2024). Emerging Trends in Requirements Engineering and Testing. IEEE Software. 41(6). 126–129.
6.
Gay, Gregory, et al.. (2024). Exploring the Role of Automation in Duplicate Bug Report Detection: An Industrial Case Study. Chalmers Research (Chalmers University of Technology). 193–203.
7.
Gay, Gregory, et al.. (2023). The integration of machine learning into automated test generation: A systematic mapping study. Software Testing Verification and Reliability. 33(4). 8 indexed citations
8.
Gay, Gregory, et al.. (2023). Non-functional requirements for machine learning: understanding current use and challenges among practitioners. Requirements Engineering. 28(2). 283–316. 29 indexed citations
9.
Gay, Gregory, et al.. (2023). How Closely are Common Mutation Operators Coupled to Real Faults?. Chalmers Research (Chalmers University of Technology). 129–140. 3 indexed citations
10.
Gay, Gregory, et al.. (2023). Identifying Redundancies and Gaps Across Testing Levels During Verification of Automotive Software. Chalmers Research (Chalmers University of Technology). 53. 131–139.
11.
Gay, Gregory, et al.. (2023). Test Maintenance for Machine Learning Systems: A Case Study in the Automotive Industry. Chalmers Research (Chalmers University of Technology). 410–421. 3 indexed citations
12.
Gay, Gregory, et al.. (2022). Non-functional requirements for machine learning. Chalmers Research (Chalmers University of Technology). 29–36. 9 indexed citations
13.
Treuttel, J., et al.. (2022). Demonstration of a 25 % bandwidth 520-680 GHz Schottky receiver front-end for planetary science and remote sensing. HAL (Le Centre pour la Communication Scientifique Directe). 179–179. 4 indexed citations
14.
Gay, Gregory, et al.. (2020). Choosing the fitness function for the job: Automated generation of test suites that detect real faults. Software Testing Verification and Reliability. 30(7-8). 7 indexed citations
15.
Gay, Gregory, Ajitha Rajan, Matt Staats, Michael W. Whalen, & Mats P. E. Heimdahl. (2016). The Effect of Program and Model Structure on the Effectiveness of MC/DC Test Adequacy Coverage. ACM Transactions on Software Engineering and Methodology. 25(3). 1–34. 21 indexed citations
16.
Rayadurgam, Sanjai, et al.. (2015). Efficient observability-based test generation by dynamic symbolic execution. 228–238. 2 indexed citations
17.
Gay, Gregory, Sanjai Rayadurgam, & Mats P. E. Heimdahl. (2014). Improving the accuracy of oracle verdicts through automated model steering. 527–538. 7 indexed citations
18.
Gay, Gregory, Matt Staats, Michael W. Whalen, & Mats P. E. Heimdahl. (2014). Moving the goalposts: coverage satisfaction is not enough. 19–22. 7 indexed citations
19.
Evans, A., Gregory Gay, Adrian Jacobs, et al.. (2009). P‐74: Seeing Depth from a Single LCD. SID Symposium Digest of Technical Papers. 40(1). 1395–1398. 2 indexed citations
20.
Menzies, Tim, Burak Turhan, Ayşe Bener, et al.. (2008). Implications of ceiling effects in defect predictors. 47–54. 148 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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