Hossein Mobahi

3.6k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Hossein Mobahi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hossein Mobahi has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Hossein Mobahi's work include Sparse and Compressive Sensing Techniques (6 papers), Advanced Vision and Imaging (6 papers) and Face and Expression Recognition (4 papers). Hossein Mobahi is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Advanced Vision and Imaging (6 papers) and Face and Expression Recognition (4 papers). Hossein Mobahi collaborates with scholars based in United States, Iran and China. Hossein Mobahi's co-authors include Yi Ma, Andrew Wagner, Zihan Zhou, Arvind Ganesh, Ronan Collobert, Jason Weston, John Wright, Allen Y. Yang, Shankar Rao and S. Shankar Sastry and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Mechanical Systems and Signal Processing.

In The Last Decade

Hossein Mobahi

24 papers receiving 1.0k citations

Hit Papers

Toward a Practical Face Recognition System: Robust Alignm... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossein Mobahi United States 12 837 242 231 198 103 26 1.1k
Baback Moghaddam United States 15 1.0k 1.2× 190 0.8× 208 0.9× 291 1.5× 110 1.1× 28 1.3k
Zizhu Fan China 17 787 0.9× 216 0.9× 282 1.2× 194 1.0× 199 1.9× 44 1.1k
Ignacio Ramírez Uruguay 10 532 0.6× 338 1.4× 176 0.8× 152 0.8× 162 1.6× 18 791
Andrew Wagner United States 7 739 0.9× 312 1.3× 92 0.4× 210 1.1× 105 1.0× 14 887
S.Z. Li China 15 1.3k 1.6× 124 0.5× 180 0.8× 290 1.5× 197 1.9× 31 1.5k
Tieniu Tan China 14 901 1.1× 132 0.5× 185 0.8× 407 2.1× 142 1.4× 31 1.2k
Tali Dekel Israel 16 1.1k 1.3× 175 0.7× 291 1.3× 384 1.9× 115 1.1× 32 1.6k
M. Alex O. Vasilescu United States 12 610 0.7× 263 1.1× 129 0.6× 247 1.2× 30 0.3× 18 989
Yueqi Duan China 19 933 1.1× 256 1.1× 232 1.0× 156 0.8× 91 0.9× 50 1.3k

Countries citing papers authored by Hossein Mobahi

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Mobahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Mobahi

This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Mobahi. A scholar is included among the top collaborators of Hossein Mobahi 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 Hossein Mobahi. Hossein Mobahi 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.
2.
Bahri, Dara, Hossein Mobahi, & Yi Tay. (2022). Sharpness-Aware Minimization Improves Language Model Generalization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7360–7371. 25 indexed citations
3.
Yun, Chulhee, Shankar Krishnan, & Hossein Mobahi. (2021). A unifying view on implicit bias in training linear neural networks. International Conference on Learning Representations. 2 indexed citations
4.
Jiang, Yiding, Behnam Neyshabur, Dilip Krishnan, Hossein Mobahi, & Samy Bengio. (2020). Fantastic Generalization Measures and Where to Find Them. International Conference on Learning Representations. 8 indexed citations
5.
Mobahi, Hossein, Mehrdad Farajtabar, & Peter L. Bartlett. (2020). Self-Distillation Amplifies Regularization in Hilbert Space. Neural Information Processing Systems. 33. 3351–3361. 16 indexed citations
6.
Jiang, Yiding, Manik Sharma, Carlos Lassance, et al.. (2020). Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. 170–190. 1 indexed citations
7.
Jiang, Yiding, Dilip Krishnan, Hossein Mobahi, & Samy Bengio. (2019). A Margin-Based Measure of Generalization for Deep Networks. 1 indexed citations
8.
Jiang, Yiding, Dilip Krishnan, Hossein Mobahi, & Samy Bengio. (2018). Predicting the Generalization Gap in Deep Networks with Margin Distributions. International Conference on Learning Representations. 7 indexed citations
9.
Chen, Justin G., et al.. (2017). A Bayesian state-space approach for damage detection and classification. Mechanical Systems and Signal Processing. 96. 239–259. 16 indexed citations
10.
Mobahi, Hossein & John W. Fisher. (2015). A Theoretical Analysis of Optimization by Gaussian Continuation. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 31 indexed citations
11.
Mobahi, Hossein & Yi Ma. (2012). Gaussian Smoothing and Asymptotic Convexity. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 indexed citations
12.
Mobahi, Hossein, Zihan Zhou, Allen Y. Yang, & Yi Ma. (2011). Holistic 3D reconstruction of urban structures from low-rank textures. 593–600. 27 indexed citations
13.
Mobahi, Hossein, Shankar Rao, Allen Y. Yang, S. Shankar Sastry, & Yi Ma. (2011). Segmentation of Natural Images by Texture and Boundary Compression. International Journal of Computer Vision. 95(1). 86–98. 94 indexed citations
14.
Wagner, Andrew, et al.. (2011). Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 372–386. 440 indexed citations breakdown →
15.
Zhou, Zihan, Andrew Wagner, Hossein Mobahi, John Wright, & Yi Ma. (2009). Face recognition with contiguous occlusion using markov random fields. 1050–1057. 139 indexed citations
16.
Mobahi, Hossein, Shankar Rao, & Yi Ma. (2009). Data-driven image completion by image patch subspaces. 1–4. 11 indexed citations
17.
Mobahi, Hossein, Majid Nili Ahmadabadi, & Babak Nadjar Araabi. (2007). A BIOLOGICALLY INSPIRED METHOD FOR CONCEPTUAL IMITATION USING REINFORCEMENT LEARNING. Applied Artificial Intelligence. 21(3). 155–183. 13 indexed citations
18.
Mobahi, Hossein, Majid Nili Ahmadabadi, & Babak Nadjar Araabi. (2006). Swarm contours: A fast self-organization approach for snake initialization. Complexity. 12(1). 41–52. 7 indexed citations
19.
Mobahi, Hossein & Karrie Karahalios. (2005). HCI Applications for aiding children with mental disorders. XRDS Crossroads The ACM Magazine for Students. 12(2). 3–3. 9 indexed citations
20.
Mobahi, Hossein, et al.. (2004). Fuzzy perception, emotion and expression for interactive robots. 4. 3918–3923. 15 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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