Chetan Arora

2.2k total citations
77 papers, 1.0k citations indexed

About

Chetan Arora is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chetan Arora has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Information Systems, 34 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Chetan Arora's work include Software Engineering Research (31 papers), Software Engineering Techniques and Practices (27 papers) and Advanced Software Engineering Methodologies (10 papers). Chetan Arora is often cited by papers focused on Software Engineering Research (31 papers), Software Engineering Techniques and Practices (27 papers) and Advanced Software Engineering Methodologies (10 papers). Chetan Arora collaborates with scholars based in Australia, Luxembourg and India. Chetan Arora's co-authors include Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer, Sallam Abualhaija, Muneera Bano, John Grundy, Mohamed Abdelrazek, Didar Zowghi, Arda Göknil and Seng W. Loke and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Transactions on Software Engineering.

In The Last Decade

Chetan Arora

70 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chetan Arora Australia 20 580 421 181 123 96 77 1.0k
Ingrid Nunes Brazil 12 301 0.5× 350 0.8× 85 0.5× 185 1.5× 80 0.8× 68 667
Raimundas Matulevičius Estonia 18 709 1.2× 289 0.7× 94 0.5× 195 1.6× 226 2.4× 88 1.0k
Paola Spoletini Italy 17 484 0.8× 474 1.1× 201 1.1× 236 1.9× 101 1.1× 63 844
Viviana Mascardi Italy 15 211 0.4× 627 1.5× 70 0.4× 160 1.3× 84 0.9× 101 829
Giuseppe Polese Italy 20 373 0.6× 508 1.2× 129 0.7× 186 1.5× 44 0.5× 89 983
Genny Tortora Italy 11 571 1.0× 244 0.6× 95 0.5× 329 2.7× 55 0.6× 32 814
Vincenzo Deufemia Italy 20 516 0.9× 458 1.1× 228 1.3× 196 1.6× 43 0.4× 92 975
Johannes Sametinger Austria 12 422 0.7× 299 0.7× 156 0.9× 165 1.3× 48 0.5× 55 699
Anas Mahmoud United States 21 779 1.3× 287 0.7× 230 1.3× 177 1.4× 25 0.3× 60 1.1k
Armin Eberlein Canada 18 1.2k 2.0× 595 1.4× 263 1.5× 210 1.7× 154 1.6× 96 1.5k

Countries citing papers authored by Chetan Arora

Since Specialization
Citations

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

Fields of papers citing papers by Chetan Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chetan Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Chetan Arora. A scholar is included among the top collaborators of Chetan Arora 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 Chetan Arora. Chetan Arora 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.
Tantithamthavorn, Chakkrit, et al.. (2025). Enhancing large language models for text-to-testcase generation. Journal of Systems and Software. 230. 112531–112531.
2.
Liu, Xiao, et al.. (2025). Understanding VR Accessibility Practices of VR Professionals. Monash University Research Portal (Monash University). 1–17.
3.
Arora, Chetan, et al.. (2025). Requirements-Driven Automated Software Testing: A Systematic Review. ACM Transactions on Software Engineering and Methodology. 1 indexed citations
4.
Fu, Michael C., et al.. (2025). RAGVA: Engineering retrieval augmented generation-based virtual assistants in practice. Journal of Systems and Software. 226. 112436–112436. 4 indexed citations
5.
Nguyen‐Duc, Anh, Adam Przybyłek, Chetan Arora, et al.. (2025). Generative Artificial Intelligence for Software Engineering—A Research Agenda. Software Practice and Experience. 55(11). 1806–1843.
6.
Arora, Chetan, et al.. (2025). Quantum Linguistics in Patient-Clinical Trial Relations for Improved Healthcare. 186–190. 1 indexed citations
7.
Arora, Chetan, et al.. (2024). How do software practitioners perceive human-centric defects?. Information and Software Technology. 176. 107549–107549. 2 indexed citations
8.
Liu, Lin, et al.. (2024). Requirements Elicitation in Government Projects: A Preliminary Empirical Study. 146–154. 2 indexed citations
9.
Ferrari, Alessio, Sallam Abualhaija, & Chetan Arora. (2024). Model Generation with LLMs: From Requirements to UML Sequence Diagrams. Open Repository and Bibliography (University of Luxembourg). 291–300. 13 indexed citations
10.
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12.
Arora, Chetan, et al.. (2024). Who uses personas in requirements engineering: The practitioners’ perspective. Information and Software Technology. 178. 107609–107609. 3 indexed citations
13.
Abdelrazek, Mohamed, et al.. (2023). Requirements engineering framework for human-centered artificial intelligence software systems. Applied Soft Computing. 143. 110455–110455. 21 indexed citations
14.
Abdelrazek, Mohamed, et al.. (2023). Requirements practices and gaps when engineering human-centered Artificial Intelligence systems. Applied Soft Computing. 143. 110421–110421. 19 indexed citations
15.
16.
Abdelrazek, Mohamed, et al.. (2023). Requirements engineering for artificial intelligence systems: A systematic mapping study. Information and Software Technology. 158. 107176–107176. 43 indexed citations
17.
Arora, Chetan, et al.. (2023). Extracting Queryable Knowledge Graphs from User Stories: An Empirical Evaluation. Monash University Research Portal (Monash University). 1 indexed citations
18.
Abualhaija, Sallam, Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, & Michael D. Traynor. (2020). Automated demarcation of requirements in textual specifications: a machine learning-based approach. Empirical Software Engineering. 25(6). 5454–5497. 24 indexed citations
19.
Nejati, Shiva, et al.. (2016). Automated change impact analysis between SysML models of requirements and design. Open Repository and Bibliography (University of Luxembourg). 242–253. 19 indexed citations
20.

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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