Ali Anwar
Impact in
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
-
- Privacy-Preserving Technologies in Data 30
- Reinforcement Learning in Robotics 2
- Topic Modeling 2
- Adversarial Robustness in Machine Learning 2
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- Advanced Data Storage Technologies 14
- Distributed systems and fault tolerance 4
- Software System Performance and Reliability 2
- Co-authors
- Yi Zhou (13 shared papers)Nathalie Baracaldo (12 shared papers)Heiko Ludwig (10 shared papers)Stacey Truex (3 shared papers)Thomas Steinke (2 shared papers)Rui Zhang (2 shared papers)Yue Cheng (17 shared papers)Ali Raza Butt (27 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (3 papers)Proceedings of the VLDB Endowment (2 papers)IEEE Security & Privacy (1 paper)ACM Transactions on Storage (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Ali Anwar
63 papers receiving 2.1k citations
Ali Anwar's Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 1.6k
- Information Systems 391
- Computer Networks and Communications 341
- Hardware and Architecture 48
- Signal Processing 23
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-authors
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
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Hybrid Approach to Privacy-Preserving Federated Learning Hit paper breakdown → | 2019 | 713 |
| 2 | 2019 | 257 | |
| 3 | 2020 | 235 | |
| 4 | 2021 | 110 | |
| 5 | 2014 | 61 | |
| 6 | 2021 | 61 | |
| 7 | 2019 | 57 | |
| 8 | 2018 | 43 | |
| 9 | 2020 | 43 | |
| 10 | 2021 | 42 | |
| 11 | Improving Docker Registry Design Based on Production Workload Analysis | 2018 | 33 |
| 12 | 2019 | 31 | |
| 13 | 2015 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2018 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2014 | 19 | |
| 19 | 2015 | 17 | |
| 20 | 2019 | 17 |
About Ali Anwar
Ali Anwar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Software and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (30 papers), Cloud Computing and Resource Management (18 papers), Advanced Data Storage Technologies (14 papers), Distributed systems and fault tolerance (4 papers), Reinforcement Learning in Robotics (2 papers), Topic Modeling (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (391 citations), Computer Networks and Communications (341 citations), Hardware and Architecture (48 citations) and Signal Processing (23 citations). Ali Anwar has collaborated with scholars based in United States, China and India. Frequent co-authors include Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Stacey Truex, Thomas Steinke, Rui Zhang, Yue Cheng, Ali Raza Butt, Runhua Xu and Zheng Chai. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment, IEEE Security & Privacy, ACM Transactions on Storage and Neural Computing and Applications.
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.