Ehsan Elhamifar

6.8k citations
50 papers · 4.4k · 2 hit papers · h-index 20

Impact in

Papers in

    • Human Pose and Action Recognition 11
    • Multimodal Machine Learning Applications 11
    • Face and Expression Recognition 6
    • Video Analysis and Summarization 6
    • Advanced Image and Video Retrieval Techniques 6
    • Anomaly Detection Techniques and Applications 7
    • Domain Adaptation and Few-Shot Learning 5

Ehsan Elhamifar

48 papers receiving 4.4k citations

Ehsan Elhamifar's Hit Papers

Sparse Subspace Clustering: Algorithm, Theory, and Applications 2013 · 2.1k citations
2.1k0+5+11Years since publication50010001.5k2.0k

Peers

Ehsan Elhamifar
Comparison fields: 5 of 124
  • Computational Mathematics 109
  • Computer Vision and Pattern Recognition 3.2k
  • Media Technology 1.1k
  • Computational Mechanics 1.2k
  • Artificial Intelligence 1.7k
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Citations per field
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Citations per year

Countries citing papers authored by Ehsan Elhamifar

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Elhamifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ehsan Elhamifar, 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 Ehsan Elhamifar Line = papers co-authored together Ehsan Elhamifar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Hit paper breakdown →
20132149
2
Sparse subspace clustering
Hit paper breakdown →
2009890
3
Sparse Manifold Clustering and Embedding
2011172
4 2020162
5 2011156
6 2012106
7 201387
8 201582
9 201081
10 202063
11
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
201253
12 202251
13 202047
14 202142
15 201731
16
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
202028
17
High-Rank Matrix Completion and Clustering under Self-Expressive Models
201626
18 201926
19 202121
20 201021

About Ehsan Elhamifar

Ehsan Elhamifar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Signal Processing, having authored 50 papers that have together received 4.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (11 papers), Anomaly Detection Techniques and Applications (7 papers), Face and Expression Recognition (6 papers), Video Analysis and Summarization (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computational Mathematics (109 citations), Computer Vision and Pattern Recognition (3.2k citations), Media Technology (1.1k citations), Computational Mechanics (1.2k citations) and Artificial Intelligence (1.7k citations). Ehsan Elhamifar has collaborated with scholars based in United States, Mexico and Iran. Frequent co-authors include Renè Vidal, Dat Huynh, S. Shankar Sastry, Guillermo Sapiro, Allen Y. Yang, Taşkın Padır, Jiuxiang Gu, Jason Kuen, Zhe Lin and Lu Wang. Their work appears in journals such as Advanced Theory and Simulations, IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Conference on Machine Learning and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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