Hamed Hassani

2.4k total citations
54 papers, 629 citations indexed

About

Hamed Hassani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Hamed Hassani has authored 54 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 10 papers in Computational Mechanics. Recurrent topics in Hamed Hassani's work include Stochastic Gradient Optimization Techniques (16 papers), Adversarial Robustness in Machine Learning (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). Hamed Hassani is often cited by papers focused on Stochastic Gradient Optimization Techniques (16 papers), Adversarial Robustness in Machine Learning (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). Hamed Hassani collaborates with scholars based in United States, Switzerland and United Kingdom. Hamed Hassani's co-authors include Aryan Mokhtari, Ramtin Pedarsani, Amirhossein Reisizadeh, Shirin Saeedi Bidokhti, Xingran Chen, Konstantinos Gatsis, George J. Pappas, Andreas Krause, Olivier Bachem and Mario Lučić and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Hamed Hassani

47 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hamed Hassani United States 12 355 303 180 64 58 54 629
Jiantao Jiao United States 13 411 1.2× 98 0.3× 76 0.4× 72 1.1× 7 0.1× 54 711
Himanshu Tyagi India 12 134 0.4× 201 0.7× 276 1.5× 110 1.7× 13 0.2× 64 438
Emrah Akyol United States 15 116 0.3× 329 1.1× 266 1.5× 186 2.9× 11 0.2× 89 685
Victoria Kostina United States 14 132 0.4× 295 1.0× 363 2.0× 76 1.2× 9 0.2× 77 572
Tobias J. Oechtering Sweden 20 280 0.8× 1.2k 3.8× 1.3k 7.1× 58 0.9× 12 0.2× 186 1.6k
Charles Bordenave France 17 41 0.1× 188 0.6× 122 0.7× 39 0.6× 9 0.2× 56 709
Akshay Krishnamurthy United States 13 293 0.8× 89 0.3× 26 0.1× 83 1.3× 6 0.1× 40 457
Masanori Hariyama Japan 15 155 0.4× 166 0.5× 358 2.0× 207 3.2× 6 0.1× 135 788
Hristo Djidjev United States 16 210 0.6× 174 0.6× 74 0.4× 91 1.4× 3 0.1× 64 605
Xiaoyu Cao China 17 1.0k 2.9× 107 0.4× 73 0.4× 89 1.4× 8 0.1× 25 1.2k

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
1.
Hassani, Hamed & Adel Javanmard. (2024). The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. The Annals of Statistics. 52(2). 2 indexed citations
2.
Hassani, Hamed, Xuewen Qian, Marco Di Renzo, et al.. (2023). Optimization of RIS-Aided MIMO—A Mutually Coupled Loaded Wire Dipole Model. IEEE Wireless Communications Letters. 13(3). 726–730. 14 indexed citations
3.
Hassani, Hamed, et al.. (2022). Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. IEEE Journal on Selected Areas in Information Theory. 3(4). 674–686. 15 indexed citations
4.
Chen, Xingran, Konstantinos Gatsis, Hamed Hassani, & Shirin Saeedi Bidokhti. (2022). Age of Information in Random Access Channels. IEEE Transactions on Information Theory. 68(10). 6548–6568. 79 indexed citations
5.
Jeong, Heejin, Hamed Hassani, Manfred Morari, Daniel D. Lee, & George J. Pappas. (2021). Deep Reinforcement Learning for Active Target Tracking. 1825–1831. 5 indexed citations
6.
Robey, Alexander, et al.. (2021). Optimal Algorithms for Submodular Maximization with Distributed Constraints. 150–162. 6 indexed citations
7.
Bedi, Amrit Singh, Alec Koppel, Ketan Rajawat, et al.. (2021). Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Transactions on Signal Processing. 69. 932–947. 11 indexed citations
8.
Robey, Alexander, Hamed Hassani, & George J. Pappas. (2020). Model-Based Robust Deep Learning.. arXiv (Cornell University). 8 indexed citations
9.
Shen, Zebang, Zhenfu Wang, Alejandro Ribeiro, & Hamed Hassani. (2020). Sinkhorn Natural Gradient for Generative Models. Neural Information Processing Systems. 33. 1646–1656. 2 indexed citations
10.
Zhang, Mingrui, Zebang Shen, Aryan Mokhtari, Hamed Hassani, & Amin Karbasi. (2020). One Sample Stochastic Frank-Wolfe.. International Conference on Artificial Intelligence and Statistics. 4012–4023. 2 indexed citations
11.
Mokhtari, Aryan, et al.. (2020). Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.. arXiv (Cornell University). 3 indexed citations
12.
Zhang, Mingrui, Lin Chen, Aryan Mokhtari, Hamed Hassani, & Amin Karbasi. (2019). Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.. arXiv (Cornell University). 2 indexed citations
13.
Shen, Zebang, Alejandro Ribeiro, Hamed Hassani, Hui Qian, & Chao Mi. (2019). Hessian Aided Policy Gradient. International Conference on Machine Learning. 5729–5738. 11 indexed citations
14.
Karbasi, Amin, Hamed Hassani, Aryan Mokhtari, & Zebang Shen. (2019). Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match. Neural Information Processing Systems. 32. 13066–13076. 1 indexed citations
15.
Reisizadeh, Amirhossein, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, & Ramtin Pedarsani. (2019). FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.. International Conference on Artificial Intelligence and Statistics. 2021–2031. 48 indexed citations
16.
Reisizadeh, Amirhossein, Aryan Mokhtari, Hamed Hassani, & Ramtin Pedarsani. (2019). An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Transactions on Signal Processing. 67(19). 4934–4947. 92 indexed citations
17.
Chen, Lin, Hamed Hassani, & Amin Karbasi. (2018). Online Continuous Submodular Maximization. International Conference on Artificial Intelligence and Statistics. 1896–1905. 3 indexed citations
18.
Bachem, Olivier, Mario Lučić, Hamed Hassani, & Andreas Krause. (2016). Fast and Provably Good Seedings for k-Means. Neural Information Processing Systems. 29. 55–63. 46 indexed citations
19.
Kazemi, Ehsan, Hamed Hassani, Matthias Grossglauser, & Hassan Pezeshgi Modarres. (2016). PROPER: global protein interaction network alignment through percolation matching. BMC Bioinformatics. 17(1). 527–527. 21 indexed citations
20.
Zakerian, Seyed Abolfazl, et al.. (2013). Using Assessment Repetitive Task (ART) Tool in an Assembly Industry. SHILAP Revista de lepidopterología. 10(6). 1–15. 6 indexed citations

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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