Hamed Hassani

2.4k citations
54 papers · 629 indexed · h-index 12
Topics
Stochastic Gradient Optimization Techniques (16 papers)Adversarial Robustness in Machine Learning (11 papers)Sparse and Compressive Sensing Techniques (10 papers)

In The Last Decade

Hamed Hassani

47 papers receiving 609 citations

Peers

Hamed Hassani
Comparison fields: 5 of 73
  • Artificial Intelligence 355
  • Computer Networks and Communications 303
  • Electrical and Electronic Engineering 180
  • Computer Vision and Pattern Recognition 64
  • Epidemiology 58
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Countries citing papers authored by Hamed Hassani

Since Specialization
Citations

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

Fields of papers citing papers by Hamed Hassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Hassani

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Hassani. A scholar is included among the top collaborators of Hamed Hassani 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 Hamed Hassani. Hamed Hassani 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
#WorkIndexed citations
1 2
2 14
3 15
4 79
5
Optimal Algorithms for Submodular Maximization with Distributed Constraints
6
6 5
7
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.
3
8
One Sample Stochastic Frank-Wolfe.
2
9
Sinkhorn Natural Gradient for Generative Models
2
10
Model-Based Robust Deep Learning.
8
11 48
12
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
1
13
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.
2
14
Hessian Aided Policy Gradient
11
15
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
48
16 8
17
Online Continuous Submodular Maximization
3
18 21
19
Fast and Provably Good Seedings for k-Means
46
20
Using Assessment Repetitive Task (ART) Tool in an Assembly Industry
6

About Hamed Hassani

Hamed Hassani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics, having authored 54 papers that have together received 629 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (16 papers), Adversarial Robustness in Machine Learning (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). The work is most often cited by research in Computer Networks and Communications (303 citations), Artificial Intelligence (355 citations) and Computer Science Applications (30 citations). Hamed Hassani has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Aryan Mokhtari, Ramtin Pedarsani, Amirhossein Reisizadeh, Shirin Saeedi Bidokhti, Xingran Chen, Konstantinos Gatsis, George J. Pappas, Andreas Krause, Mario Lučić and Olivier Bachem. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

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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