Hanie Sedghi

1.1k total citations
15 papers, 167 citations indexed

About

Hanie Sedghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hanie Sedghi has authored 15 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Hanie Sedghi's work include Stochastic Gradient Optimization Techniques (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Hanie Sedghi is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Hanie Sedghi collaborates with scholars based in United States, Germany and Austria. Hanie Sedghi's co-authors include Edmond Jonckheere, Philip M. Long, Vineet Gupta, Majid Janzamin, Behnam Neyshabur, Chiyuan Zhang, Anima Anandkumar, Mohammad Reza Pakravan, Ashish Sabharwal and Olga Saukh and has published in prestigious journals such as IEEE Transactions on Smart Grid, Transactions of the Association for Computational Linguistics and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Hanie Sedghi

14 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanie Sedghi United States	7	82	72	62	54	35	15	167
Lionel Fillatre France	7	71 0.9×	88 1.2×	67 1.1×	27 0.5×	14 0.4×	23	182
Photios A. Stavrou Sweden	8	60 0.7×	49 0.7×	107 1.7×	90 1.7×	34 1.0×	44	228
Andreea B. Alexandru United States	8	146 1.8×	107 1.5×	81 1.3×	27 0.5×	30 0.9×	14	240
Xinyi Xu China	9	72 0.9×	20 0.3×	12 0.2×	32 0.6×	72 2.1×	17	175
Zhiquan Lai China	10	116 1.4×	10 0.1×	80 1.3×	35 0.6×	71 2.0×	39	219
Carsten Trinitis Germany	6	43 0.5×	12 0.2×	67 1.1×	28 0.5×	20 0.6×	41	158
Si-Hyeon Lee South Korea	11	95 1.2×	15 0.2×	178 2.9×	259 4.8×	23 0.7×	52	358
Mohammad Sadegh Talebi Iran	10	64 0.8×	14 0.2×	170 2.7×	78 1.4×	17 0.5×	41	246

Countries citing papers authored by Hanie Sedghi

Since Specialization

Citations

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

Fields of papers citing papers by Hanie Sedghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanie Sedghi

This figure shows the co-authorship network connecting the top 25 collaborators of Hanie Sedghi. A scholar is included among the top collaborators of Hanie Sedghi 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 Hanie Sedghi. Hanie Sedghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Sedghi, Hanie, et al.. (2022). Understanding the effect of sparsity on neural networks robustness. arXiv (Cornell University). 1 indexed citations

Sedghi, Hanie, et al.. (2021). The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. arXiv (Cornell University). 2 indexed citations

Chatterji, Niladri S., Behnam Neyshabur, & Hanie Sedghi. (2020). The intriguing role of module criticality in the generalization of deep networks. International Conference on Learning Representations. 3 indexed citations

Neyshabur, Behnam, Hanie Sedghi, & Chiyuan Zhang. (2020). What is being transferred in transfer learning. Neural Information Processing Systems. 33. 512–523. 14 indexed citations

Long, Philip M. & Hanie Sedghi. (2019). Size-free generalization bounds for convolutional neural networks. arXiv (Cornell University). 6 indexed citations

Sedghi, Hanie, Vineet Gupta, & Philip M. Long. (2018). The Singular Values of Convolutional Layers. International Conference on Learning Representations. 29 indexed citations

Sedghi, Hanie & Ashish Sabharwal. (2018). Knowledge Completion for Generics using Guided Tensor Factorization. Transactions of the Association for Computational Linguistics. 6. 197–210. 2 indexed citations

Sabharwal, Ashish & Hanie Sedghi. (2017). How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets.. Uncertainty in Artificial Intelligence. 6 indexed citations

Sedghi, Hanie, Majid Janzamin, & Animashree Anandkumar. (2017). Provable Tensor Methods for Learning Mixtures of Generalized Linear Models - eScholarship.

10.

Janzamin, Majid, Hanie Sedghi, & Anima Anandkumar. (2015). Generalization Bounds for Neural Networks through Tensor Factorization.. arXiv (Cornell University). 6 indexed citations

11.

Sedghi, Hanie & Edmond Jonckheere. (2015). Statistical Structure Learning to Ensure Data Integrity in Smart Grid. IEEE Transactions on Smart Grid. 6(4). 1924–1933. 52 indexed citations

12.

Sedghi, Hanie, Anima Anandkumar, & Edmond Jonckheere. (2014). Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition. CaltechAUTHORS (California Institute of Technology). 27. 2771–2779. 7 indexed citations

13.

Sedghi, Hanie, Anima Anandkumar, & Edmond Jonckheere. (2014). Guarantees for Multi-Step Stochastic ADMM in High Dimensions.. arXiv (Cornell University). 1 indexed citations

14.

Sedghi, Hanie & Edmond Jonckheere. (2013). Statistical structure learning of smart grid for detection of false data injection. 1–5. 22 indexed citations

15.

Janzamin, Majid, Mohammad Reza Pakravan, & Hanie Sedghi. (2010). A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication. 1–6. 16 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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