Ehsan Elhamifar

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

Impact in

Papers in

    • Multimodal Machine Learning Applications 11
    • Human Pose and Action Recognition 11
    • Video Analysis and Summarization 6
    • Face and Expression Recognition 6
    • Advanced Image and Video Retrieval Techniques 6
    • Video Surveillance and Tracking Methods 5
    • Anomaly Detection Techniques and Applications 7

Ehsan Elhamifar

48 papers receiving 4.4k citations

Hit Papers

Sparse Subspace Clustering: Algorithm, Theory, and Applications 2013 · 2.1k citations
2.1k200920262014202050010001.5k2.0k

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
00.5×
Zhihui Lai · 1×
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-authorship network

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
#Work
1 20246
2 20244
3 20244
4 20241
5 202251
6 202142
7
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
202028
8
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
20195
9
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm.
20195
10 201926
11
Subset Selection and Summarization in Sequential Data
201711
12
High-Rank Matrix Completion and Clustering under Self-Expressive Models
201626
13 201387
14
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Hit paper breakdown →
20132149
15
SPARSE MODELING FOR HIGH-DIMENSIONAL MULTI-MANIFOLD DATA ANALYSIS by
20125
16
Structured Sparse Recovery via Convex Optimization
20117
17
Sparse Manifold Clustering and Embedding
2011172
18 201081
19 20063
20 20061

About Ehsan Elhamifar

Ehsan Elhamifar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing and Control and Systems Engineering, 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), Multimodal Machine Learning Applications (11 papers), Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (7 papers), Video Analysis and Summarization (6 papers), Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (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, Zhe Lin, Jason Kuen 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, IFAC Proceedings Volumes 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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