Ali Anwar

3.1k total citations · 1 hit paper
58 papers, 1.4k citations indexed

About

Ali Anwar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ali Anwar has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 29 papers in Information Systems and 29 papers in Artificial Intelligence. Recurrent topics in Ali Anwar's work include Cloud Computing and Resource Management (23 papers), Advanced Data Storage Technologies (21 papers) and Privacy-Preserving Technologies in Data (21 papers). Ali Anwar is often cited by papers focused on Cloud Computing and Resource Management (23 papers), Advanced Data Storage Technologies (21 papers) and Privacy-Preserving Technologies in Data (21 papers). Ali Anwar collaborates with scholars based in United States, India and China. Ali Anwar's co-authors include Yi Zhou, Heiko Ludwig, Nathalie Baracaldo, Thomas Steinke, Stacey Truex, Rui Zhang, Ali R. Butt, Yue Cheng, Zheng Chai and Yujing Chen and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment and Biomedical Signal Processing and Control.

In The Last Decade

Ali Anwar

52 papers receiving 1.3k citations

Hit Papers

A Hybrid Approach to Privacy-Preserving Federated Learning 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Anwar United States 17 866 510 446 117 113 58 1.4k
Chugui Xu China 9 376 0.4× 412 0.8× 202 0.5× 80 0.7× 195 1.7× 12 837
Maryline Laurent France 15 632 0.7× 655 1.3× 648 1.5× 31 0.3× 135 1.2× 68 1.3k
Xiang Cheng China 20 527 0.6× 760 1.5× 397 0.9× 83 0.7× 436 3.9× 64 1.3k
Yunguo Guan Canada 16 610 0.7× 308 0.6× 236 0.5× 64 0.5× 79 0.7× 67 842
Cheng Chi China 17 572 0.7× 474 0.9× 410 0.9× 24 0.2× 282 2.5× 51 1.1k
Youwen Zhu China 17 615 0.7× 211 0.4× 382 0.9× 42 0.4× 59 0.5× 82 963
Milad Nasr United States 11 1.4k 1.6× 199 0.4× 171 0.4× 95 0.8× 104 0.9× 18 1.6k
Yujuan Tan China 13 546 0.6× 455 0.9× 319 0.7× 75 0.6× 94 0.8× 83 924

Countries citing papers authored by Ali Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Ali Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Anwar. A scholar is included among the top collaborators of Ali Anwar 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 Ali Anwar. Ali Anwar 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.
Khan, Azal Ahmad, et al.. (2025). Safety Aware Task Planning via Large Language Models in Robotics. 21024–21031.
2.
Khan, Azal Ahmad, et al.. (2024). FLOAT: Federated Learning Optimizations with Automated Tuning. VTechWorks (Virginia Tech). 200–218. 6 indexed citations
3.
Abdelmoniem, Ahmed M., Mona Jaber, Ali Anwar, Yuchao Zhang, & Mingliang Gao. (2024). Towards a Decentralized Collaborative Framework for Scalable Edge AI. Future Internet. 16(11). 421–421. 2 indexed citations
4.
Zawad, Syed, et al.. (2023). HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. 311–321. 2 indexed citations
5.
Anwar, Ali, et al.. (2023). FedDefender: Backdoor Attack Defense in Federated Learning. VTechWorks (Virginia Tech). 6–9. 5 indexed citations
6.
Xu, Runhua, Nathalie Baracaldo, Yi Zhou, et al.. (2022). DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. 417–426. 17 indexed citations
7.
8.
Khan, Ahmad, Syed Zawad, Ali Anwar, et al.. (2022). Heterogeneity-Aware Adaptive Federated Learning Scheduling. 2022 IEEE International Conference on Big Data (Big Data). 911–920. 8 indexed citations
9.
Xu, Runhua, Nathalie Baracaldo, Yi Zhou, et al.. (2021). FedV. 181–192. 45 indexed citations
10.
Albahar, Hadeel, et al.. (2020). DupHunter: Flexible High-Performance Deduplication for Docker Registries.. USENIX Annual Technical Conference. 769–783. 14 indexed citations
11.
Anwar, Ali, Yue Cheng, Hai Huang, et al.. (2020). Customizable Scale-Out Key-Value Stores. IEEE Transactions on Parallel and Distributed Systems. 31(9). 2081–2096. 3 indexed citations
12.
Tarasov, Vasily, Hadeel Albahar, Ali Anwar, et al.. (2020). Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. IEEE Transactions on Parallel and Distributed Systems. 32(4). 918–930. 36 indexed citations
13.
Tarasov, Vasily, Hadeel Albahar, Ali Anwar, et al.. (2019). Large-Scale Analysis of the Docker Hub Dataset. 1–10. 24 indexed citations
14.
Truex, Stacey, Nathalie Baracaldo, Ali Anwar, et al.. (2019). A Hybrid Approach to Privacy-Preserving Federated Learning. Informatik-Spektrum. 42(5). 356–357. 51 indexed citations
15.
Anwar, Ali, Yue Cheng, Hai Huang, et al.. (2018). bespoKV: application tailored scale-out key-value stores. IEEE International Conference on High Performance Computing, Data, and Analytics. 2. 5 indexed citations
16.
Anwar, Ali, Mohamed Mohamed, Vasily Tarasov, et al.. (2018). Improving Docker Registry Design Based on Production Workload Analysis. File and Storage Technologies. 265–278. 27 indexed citations
17.
Cheng, Yue, Zheng Chai, & Ali Anwar. (2018). Characterizing Co-located Datacenter Workloads. 1–3. 36 indexed citations
18.
Anwar, Ali, Yue Cheng, Hai Huang, & Ali R. Butt. (2016). ClusterOn: building highly configurable and reusable clustered data services using simple data nodes. 51–55. 6 indexed citations
19.
Anwar, Ali, Yue Cheng, & Ali R. Butt. (2016). Towards Managing Variability in the Cloud. 2. 1081–1084. 2 indexed citations
20.
Anwar, Ali, et al.. (2014). On the use of microservers in supporting hadoop applications. 66–74. 16 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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