Kevin Moran

1.7k total citations
39 papers, 709 citations indexed

About

Kevin Moran is a scholar working on Information Systems, Signal Processing and Software. According to data from OpenAlex, Kevin Moran has authored 39 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 21 papers in Signal Processing and 21 papers in Software. Recurrent topics in Kevin Moran's work include Advanced Malware Detection Techniques (21 papers), Software Testing and Debugging Techniques (20 papers) and Software Engineering Research (18 papers). Kevin Moran is often cited by papers focused on Advanced Malware Detection Techniques (21 papers), Software Testing and Debugging Techniques (20 papers) and Software Engineering Research (18 papers). Kevin Moran collaborates with scholars based in United States, Colombia and Italy. Kevin Moran's co-authors include Denys Poshyvanyk, Mario Linares‐Vásquez, Carlos Bernal-Cárdenas, Cody Watson, Qi Luo, Adwait Nadkarni, Boyang Li, Sami Rollins, Nilanjan Banerjee and Mary C. Dyson and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Internet of Things Journal and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Kevin Moran

39 papers receiving 682 citations

Peers

Kevin Moran
Carlos Bernal-Cárdenas United States
Yih-Farn Chen United States
Andrew Walenstein United States
Asankhaya Sharma Singapore
Maurizio Leotta Italy
Shinsuke Matsumoto Japan
Ke Mao United Kingdom
Luca Pascarella Switzerland
Romain Rouvoy France
Joshua Bloch United States
Carlos Bernal-Cárdenas United States
Kevin Moran
Citations per year, relative to Kevin Moran Kevin Moran (= 1×) peers Carlos Bernal-Cárdenas

Countries citing papers authored by Kevin Moran

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Moran

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Moran. A scholar is included among the top collaborators of Kevin Moran 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 Kevin Moran. Kevin Moran 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.
Chaparro, Oscar, et al.. (2024). On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization. 1–13. 8 indexed citations
2.
Fazzini, Mattia, et al.. (2024). Automating GUI-based Test Oracles for Mobile Apps. 309–321. 3 indexed citations
3.
4.
Moran, Kevin, et al.. (2024). Toward a Theory of Causation for Interpreting Neural Code Models. IEEE Transactions on Software Engineering. 50(5). 1215–1243. 6 indexed citations
5.
Yan, Yanfu, et al.. (2024). Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs. Proceedings of the ACM on software engineering.. 1(FSE). 972–995. 1 indexed citations
6.
Moran, Kevin, et al.. (2024). GuiEvo: Automated Evolution of Mobile App UIs. 335–347. 1 indexed citations
7.
Moran, Kevin, et al.. (2023). Avgust: A Tool for Generating Usage-Based Tests from Videos of App Executions. 83–87. 1 indexed citations
8.
Bernal-Cárdenas, Carlos, et al.. (2022). Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios. IEEE Transactions on Software Engineering. 49(4). 1782–1803. 10 indexed citations
9.
Watson, Cody, et al.. (2022). A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. ACM Transactions on Software Engineering and Methodology. 31(2). 1–58. 76 indexed citations
10.
Fazzini, Mattia, et al.. (2022). Enhancing Mobile App Bug Reporting via Real-Time Understanding of Reproduction Steps. IEEE Transactions on Software Engineering. 49(3). 1246–1272. 16 indexed citations
11.
Moran, Kevin, et al.. (2022). An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation. arXiv (Cornell University). 514–525. 8 indexed citations
12.
Moran, Kevin, et al.. (2020). Security in Centralized Data Store-based Home Automation Platforms. ACM Transactions on Cyber-Physical Systems. 5(1). 1–27. 10 indexed citations
13.
Linares‐Vásquez, Mario, Gabriele Bavota, Michele Tufano, et al.. (2020). Enabling Mutant Generation for Open- and Closed-Source Android Apps. IEEE Transactions on Software Engineering. 48(1). 186–208. 7 indexed citations
14.
Moran, Kevin. (2018). Automating Software Development for Mobile Computing Platforms. W&M Publish (College of William & Mary). 749–754. 3 indexed citations
15.
Luo, Qi, Kevin Moran, Lingming Zhang, & Denys Poshyvanyk. (2018). How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. IEEE Transactions on Software Engineering. 45(11). 1054–1080. 33 indexed citations
16.
Moran, Kevin, et al.. (2018). Detecting and summarizing GUI changes in evolving mobile apps. 543–553. 28 indexed citations
17.
Moran, Kevin, et al.. (2018). Automated reporting of GUI design violations for mobile apps. arXiv (Cornell University). 165–175. 68 indexed citations
18.
Moran, Kevin, et al.. (2018). Discovering Flaws in Security-Focused Static Analysis Tools for Android using Systematic Mutation. arXiv (Cornell University). 1263–1280. 9 indexed citations
19.
Linares‐Vásquez, Mario, Carlos Bernal-Cárdenas, Kevin Moran, & Denys Poshyvanyk. (2017). How do Developers Test Android Applications?. 613–622. 86 indexed citations
20.
Moran, Kevin, et al.. (2017). Automated GUI Testing of Android Apps: From Research to Practice. 505–506. 13 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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