Muhammad Ali Babar

5.4k total citations · 1 hit paper
131 papers, 2.9k citations indexed

About

Muhammad Ali Babar is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Muhammad Ali Babar has authored 131 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Information Systems, 41 papers in Computer Networks and Communications and 35 papers in Artificial Intelligence. Recurrent topics in Muhammad Ali Babar's work include Software Engineering Techniques and Practices (56 papers), Software Engineering Research (51 papers) and Advanced Software Engineering Methodologies (22 papers). Muhammad Ali Babar is often cited by papers focused on Software Engineering Techniques and Practices (56 papers), Software Engineering Research (51 papers) and Advanced Software Engineering Methodologies (22 papers). Muhammad Ali Babar collaborates with scholars based in Australia, Denmark and Ireland. Muhammad Ali Babar's co-authors include Mojtaba Shahin, Liming Zhu, Mansooreh Zahedi, June Verner, Hye-Young Paik, Emam Hossain, Mahmood Niazi, Phong Thanh Nguyen, Antony Tang and Ian Gorton and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Muhammad Ali Babar

123 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

2017 351 citations Mojtaba Shahin, Muhammad Ali Babar et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Ali Babar Australia	28	2.1k	737	672	534	387	131	2.9k
Christof Ebert United States	30	2.0k 1.0×	790 1.1×	746 1.1×	518 1.0×	512 1.3×	162	3.6k
Frank Maurer Canada	29	2.1k 1.0×	454 0.6×	641 1.0×	318 0.6×	617 1.6×	190	3.2k
Tommi Mikkonen Finland	28	1.5k 0.7×	1.0k 1.4×	883 1.3×	286 0.5×	302 0.8×	290	3.1k
Mahmood Niazi Saudi Arabia	35	3.5k 1.7×	672 0.9×	688 1.0×	1.5k 2.9×	554 1.4×	123	4.8k
Xiaofeng Wang Italy	25	1.5k 0.7×	414 0.6×	537 0.8×	400 0.7×	337 0.9×	128	2.6k
Daniela S. Cruzes Norway	21	1.8k 0.9×	474 0.6×	324 0.5×	248 0.5×	417 1.1×	77	2.3k
Kari Smolander Finland	24	2.2k 1.1×	760 1.0×	473 0.7×	769 1.4×	229 0.6×	121	3.3k
Maurizio Morisio Italy	26	1.8k 0.9×	416 0.6×	773 1.2×	239 0.4×	462 1.2×	138	2.6k
Damian A. Tamburri Netherlands	29	2.1k 1.0×	1000 1.4×	565 0.8×	195 0.4×	699 1.8×	155	2.8k
Didar Zowghi Australia	31	2.5k 1.2×	276 0.4×	1.1k 1.6×	703 1.3×	474 1.2×	158	3.7k

Countries citing papers authored by Muhammad Ali Babar

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ali Babar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ali Babar. 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 Muhammad Ali Babar. The network helps show where Muhammad Ali Babar may publish in the future.

Co-authorship network of co-authors of Muhammad Ali Babar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali Babar. A scholar is included among the top collaborators of Muhammad Ali Babar 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 Muhammad Ali Babar. Muhammad Ali Babar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khan, Zahid, et al.. (2025). Performance Evaluation of Pathfinding Algorithms for Intelligent Routing in High-Mobility IoT Edge Networks. Procedia Computer Science. 270. 182–191.

Hyun, Sangwon, Mingyu Guo, & Muhammad Ali Babar. (2024). METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities. 117–128. 7 indexed citations

Halder, Sajal, Arash Mahboubi, Rafiqul Islam, et al.. (2024). Malicious Package Detection using Metadata Information. arXiv (Cornell University). 1779–1789. 2 indexed citations

Zhang, Hongyu, et al.. (2024). LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking. Proceedings of the ACM on software engineering.. 1(FSE). 2098–2120. 5 indexed citations

Babar, Muhammad Ali, et al.. (2024). KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge–cloud environments to support situation-aware robot-assisted operations. Future Generation Computer Systems. 160. 489–504. 2 indexed citations

Le, Triet Huynh Minh, et al.. (2024). Systematic Literature Review on Application of Learning-Based Approaches in Continuous Integration. IEEE Access. 12. 135419–135450. 4 indexed citations

Le, Triet Huynh Minh, Xiaoning Du, & Muhammad Ali Babar. (2024). Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. 716–727. 2 indexed citations

Babar, Muhammad Ali, et al.. (2024). Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests. 192–196. 2 indexed citations

Babar, Muhammad Ali, et al.. (2024). Evaluating the Quality of Open Source Ansible Playbooks: An Executability Perspective. 2–5. 2 indexed citations

10.

Le, Triet Huynh Minh, et al.. (2024). Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. 679–685. 3 indexed citations

11.

Le, Triet Huynh Minh & Muhammad Ali Babar. (2024). Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?. 131–142. 1 indexed citations

12.

Babar, Muhammad Ali, et al.. (2023). Runtime software patching: Taxonomy, survey and future directions. Journal of Systems and Software. 200. 111652–111652. 3 indexed citations

13.

Ahmad, Aakash, et al.. (2023). An empirical study on secure usage of mobile health apps: The attack simulation approach. Information and Software Technology. 163. 107285–107285. 2 indexed citations

14.

Yang, Hongyang, et al.. (2023). Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. 349–356. 67 indexed citations

15.

Jayatilaka, Asangi, et al.. (2023). A Multi-vocal Literature Review on challenges and critical success factors of phishing education, training and awareness. Journal of Systems and Software. 208. 111899–111899. 19 indexed citations

16.

Le, Triet Huynh Minh, Huaming Chen, & Muhammad Ali Babar. (2022). A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Computing Surveys. 55(5). 1–39. 55 indexed citations

17.

Jayatilaka, Asangi, et al.. (2022). Systematic Literature Review on Cyber Situational Awareness Visualizations. IEEE Access. 10. 57525–57554. 25 indexed citations

18.

Rajapakse, Roshan Namal, Mansooreh Zahedi, Muhammad Ali Babar, & Haifeng Shen. (2021). Challenges and solutions when adopting DevSecOps: A systematic review. Information and Software Technology. 141. 106700–106700. 76 indexed citations

19.

Shahin, Mojtaba, Mansooreh Zahedi, Muhammad Ali Babar, & Liming Zhu. (2017). Adopting Continuous Delivery and Deployment. 1 indexed citations

20.

Sheng, Quan Z., et al.. (2017). Toward Unified Cloud Service Discovery for Enhanced Service Identification. University of Huddersfield Repository (University of Huddersfield). 1 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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