Ali Anwar

3.1k citations
58 papers · 1.4k · 1 hit paper · h-index 17

Impact in

Papers in

Ali Anwar

52 papers receiving 1.3k citations

Ali Anwar's Hit Papers

A Hybrid Approach to Privacy-Preserving Federated Learning 2019 · 576 citations
5760+2+4Years since publication100200300400500

Peers

Ali Anwar
Comparison fields: 5 of 67
  • Artificial Intelligence 866
  • Computer Networks and Communications 510
  • Computer Science Applications 117
  • Information Systems 446
  • Health Informatics 21
Replace Nathalie Baracaldo with:
Nathalie Baracaldo United States
Vladimir Ivanov Germany
Milad Nasr United States
Chugui Xu China
Maryline Laurent France
Alexandre Bergel Chile
Yujuan Tan China
Ben Kreuter United States
Ali Anwar relative to Nathalie Baracaldo United States Nathalie Baracaldo's profile →
Citations per field
00.5×3.1×
Nathalie Baracaldo · 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 58 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 →
2019576
2 202189
3 201951
4 201450
5 202145
6 202138
7 201836
8 202036
9 201428
10
Improving Docker Registry Design Based on Production Workload Analysis
201827
11 201924
12 201524
13 201621
14 201821
15
Towards Taming the Resource and Data Heterogeneity in Federated Learning
201919
16 202217
17 201416
18 201516
19 201915
20 201515

About Ali Anwar

Ali Anwar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Science Applications and Signal Processing, 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), Cryptography and Data Security (9 papers), IoT and Edge/Fog Computing (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 Liang Zhao. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment, Future Internet, IEEE Security & Privacy and Biomedical Signal Processing and Control.

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.

Explore authors with similar magnitude of impact