Muhammad Ali Gulzar

846 total citations
43 papers, 576 citations indexed

About

Muhammad Ali Gulzar is a scholar working on Information Systems, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Muhammad Ali Gulzar has authored 43 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 21 papers in Computer Networks and Communications and 16 papers in Information Systems and Management. Recurrent topics in Muhammad Ali Gulzar's work include Software System Performance and Reliability (16 papers), Scientific Computing and Data Management (16 papers) and Software Testing and Debugging Techniques (15 papers). Muhammad Ali Gulzar is often cited by papers focused on Software System Performance and Reliability (16 papers), Scientific Computing and Data Management (16 papers) and Software Testing and Debugging Techniques (15 papers). Muhammad Ali Gulzar collaborates with scholars based in United States, United Kingdom and China. Muhammad Ali Gulzar's co-authors include Miryung Kim, Matteo Interlandi, Tyson Condie, Todd Millstein, Sai Deep Tetali, Seunghyun Yoo, Kshitij Shah, Quanquan Gu, Lingxiao Wang and Madanlal Musuvathi and has published in prestigious journals such as Journal of the Association for Information Systems, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Muhammad Ali Gulzar

38 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Ali Gulzar United States 12 316 288 211 203 149 43 576
Sai Deep Tetali United States 11 212 0.7× 292 1.0× 141 0.7× 156 0.8× 160 1.1× 14 477
Joel Ossher United States 14 269 0.9× 555 1.9× 188 0.9× 67 0.3× 216 1.4× 23 690
Alex Villazón Switzerland 15 654 2.1× 492 1.7× 308 1.5× 141 0.7× 121 0.8× 59 826
Wensheng Dou China 15 290 0.9× 228 0.8× 124 0.6× 17 0.1× 242 1.6× 60 531
Wim De Pauw United States 12 280 0.9× 368 1.3× 211 1.0× 28 0.1× 139 0.9× 22 518
Doug Kimelman United States 9 260 0.8× 637 2.2× 329 1.6× 47 0.2× 323 2.2× 29 795
Bowen Xu Singapore 15 142 0.4× 554 1.9× 404 1.9× 34 0.2× 164 1.1× 46 755
Charles Killian United States 12 940 3.0× 451 1.6× 177 0.8× 32 0.2× 205 1.4× 28 1.0k
Kangkook Jee United States 13 626 2.0× 414 1.4× 410 1.9× 98 0.5× 66 0.4× 25 905
Thibaud Lutellier Canada 11 218 0.7× 488 1.7× 334 1.6× 23 0.1× 398 2.7× 13 745

Countries citing papers authored by Muhammad Ali Gulzar

Since Specialization
Citations

This map shows the geographic impact of Muhammad Ali Gulzar'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 Gulzar 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 Gulzar more than expected).

Fields of papers citing papers by Muhammad Ali Gulzar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali Gulzar. A scholar is included among the top collaborators of Muhammad Ali Gulzar 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 Gulzar. Muhammad Ali Gulzar 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.
2.
Gulzar, Muhammad Ali, et al.. (2025). Accessibility Issues in Ad-Driven Web Applications. 2393–2405.
3.
Kang, Hong Jin, et al.. (2024). Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking. 3118–3129. 3 indexed citations
4.
Brown, Chris, et al.. (2024). DeSQL: Interactive Debugging of SQL in Data-Intensive Scalable Computing. Proceedings of the ACM on software engineering.. 1(FSE). 767–788. 1 indexed citations
5.
Gulzar, Muhammad Ali, et al.. (2024). Natural Symbolic Execution-Based Testing for Big Data Analytics. Proceedings of the ACM on software engineering.. 1(FSE). 2677–2700. 3 indexed citations
6.
Shafiq, Zubair, et al.. (2024). Blocking Tracking JavaScript at the Function Granularity. VTechWorks (Virginia Tech). 2177–2191. 1 indexed citations
7.
Shafiq, Zubair, et al.. (2023). Blocking JavaScript Without Breaking the Web: An Empirical Investigation. Proceedings on Privacy Enhancing Technologies. 2023(3). 391–404. 4 indexed citations
8.
Kim, Miryung, et al.. (2023). NaturalFuzz: Natural Input Generation for Big Data Analytics. 1592–1603. 1 indexed citations
9.
Anwar, Ali, et al.. (2023). FedDefender: Backdoor Attack Defense in Federated Learning. VTechWorks (Virginia Tech). 6–9. 5 indexed citations
10.
Gulzar, Muhammad Ali, et al.. (2022). A Characterization Study of Merge Conflicts in Java Projects. ACM Transactions on Software Engineering and Methodology. 32(2). 1–28. 3 indexed citations
11.
Gulzar, Muhammad Ali, et al.. (2021). TrackerSift. 569–576. 4 indexed citations
12.
Gulzar, Muhammad Ali, et al.. (2021). Efficient Fuzz Testing for Apache Spark Using Framework Abstraction. 61–64. 1 indexed citations
13.
Lau, Jason, et al.. (2020). HeteroRefactor. 493–505. 5 indexed citations
14.
Gulzar, Muhammad Ali, et al.. (2019). Perception and Practices of Differential Testing. 71–80. 23 indexed citations
15.
Gulzar, Muhammad Ali, et al.. (2019). PerfDebug. 36. 465–476. 6 indexed citations
16.
Interlandi, Matteo, Kshitij Shah, Muhammad Ali Gulzar, et al.. (2017). Adding data provenance support to Apache Spark. The VLDB Journal. 27(5). 595–615. 22 indexed citations
17.
Gulzar, Muhammad Ali, et al.. (2017). Automated debugging in data-intensive scalable computing. PubMed. 2017. 520–534. 18 indexed citations
18.
Gulzar, Muhammad Ali, Matteo Interlandi, Sai Deep Tetali, et al.. (2016). Interactive debugging for big data analytics. IEEE International Conference on Cloud Computing Technology and Science. 19–25. 5 indexed citations
19.
Gulzar, Muhammad Ali, et al.. (2015). A Classification Based Framework to Predict Viral Threads. Journal of the Association for Information Systems. 134. 1 indexed citations
20.
Interlandi, Matteo, Kshitij Shah, Sai Deep Tetali, et al.. (2015). Titian: Data Provenance Support in Spark.. PubMed. 9(3). 216–227. 70 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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