Ali Anwar
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data 21
- Cryptography and Data Security 9
- Stochastic Gradient Optimization Techniques 8
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- Advanced Data Storage Technologies 21
- Caching and Content Delivery 9
- IoT and Edge/Fog Computing 9
- Distributed and Parallel Computing Systems 6
- Information Systems top 2%
- Cloud Computing and Resource Management 23
- Health Informatics top 10%
- Co-authors
- Yi ZhouHeiko LudwigNathalie BaracaldoThomas SteinkeStacey TruexRui ZhangAli R. ButtYue Cheng
- Journals
- IEEE Transactions on Parallel and Distributed Systems (3 papers)Proceedings of the VLDB Endowment (2 papers)Future Internet (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Ali Anwar
52 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 866
- Computer Networks and Communications 510
- Computer Science Applications 117
- Information Systems 446
- Health Informatics 21
Countries citing papers authored by Ali Anwar
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
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
The 25 scholars most cited alongside Ali Anwar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 45 | |
| 10 | DupHunter: Flexible High-Performance Deduplication for Docker Registries. | 2020 | 14 |
| 11 | 2020 | 3 | |
| 12 | 2020 | 36 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 51 | |
| 15 | 2018 | 5 | |
| 16 | Improving Docker Registry Design Based on Production Workload Analysis | 2018 | 27 |
| 17 | 2018 | 36 | |
| 18 | ClusterOn: building highly configurable and reusable clustered data services using simple data nodes | 2016 | 6 |
| 19 | 2016 | 2 | |
| 20 | 2014 | 16 |
About Ali Anwar
Ali Anwar is a scholar working on Computer Networks and Communications, Information Systems, Computer Science Applications, Artificial Intelligence and Information Systems and Management, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (23 papers), Advanced Data Storage Technologies (21 papers), Privacy-Preserving Technologies in Data (21 papers), Caching and Content Delivery (9 papers), IoT and Edge/Fog Computing (9 papers), Cryptography and Data Security (9 papers), Stochastic Gradient Optimization Techniques (8 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Artificial Intelligence (866 citations), Computer Networks and Communications (510 citations), Computer Science Applications (117 citations), Information Systems (446 citations) and Health Informatics (21 citations). Ali Anwar has collaborated with scholars based in United States, India and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment, Future Internet, ACM Transactions on Storage and IEEE Security & Privacy.
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.