Ali Anwar

3.2k citations
66 papers · 1.5k · 1 hit paper · h-index 17

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 27
    • Cryptography and Data Security 13
    • Stochastic Gradient Optimization Techniques 11
    • Advanced Data Storage Technologies 21
    • IoT and Edge/Fog Computing 9
    • Caching and Content Delivery 9
    • Distributed and Parallel Computing Systems 6

Ali Anwar

60 papers receiving 1.5k citations

Ali Anwar's Hit Papers

A Hybrid Approach to Privacy-Preserving Federated Learning 2019 · 652 citations
6520+2+4Years since publication200400600

Peers

Ali Anwar
Comparison fields: 5 of 68
  • Artificial Intelligence 981
  • Computer Networks and Communications 555
  • Computer Science Applications 122
  • Information Systems 491
  • Health Informatics 24
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Ali Anwar relative to Vladimir Oleshchuk Norway Vladimir Oleshchuk's profile →
Citations per field
00.5×9.0×
Vladimir Oleshchuk · 1×
Citations per year

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-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.

Border = papers with Ali Anwar Line = papers co-authored together Ali Anwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 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 →
2019652
2 2021101
3 201456
4 201954
5 202154
6 202140
7 201839
8 202038
9
Improving Docker Registry Design Based on Production Workload Analysis
201831
10 201428
11 201528
12 201925
13 201823
14 201622
15 202220
16
Towards Taming the Resource and Data Heterogeneity in Federated Learning
201920
17 201417
18 201916
19 201516
20 202215

About Ali Anwar

Ali Anwar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Science Applications and Sociology and Political Science, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (27 papers), Cloud Computing and Resource Management (23 papers), Advanced Data Storage Technologies (21 papers), Cryptography and Data Security (13 papers), Stochastic Gradient Optimization Techniques (11 papers), IoT and Edge/Fog Computing (9 papers), Caching and Content Delivery (9 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Artificial Intelligence (981 citations), Computer Networks and Communications (555 citations), Computer Science Applications (122 citations), Information Systems (491 citations) and Health Informatics (24 citations). Ali Anwar has collaborated with scholars based in United States, India and China. Frequent co-authors include Yi Zhou, Heiko Ludwig, Nathalie Baracaldo, Rui Zhang, Stacey Truex, Thomas Steinke, 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, ACM Transactions on Storage, Future Internet 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.

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