Yonina C. Eldar

55.0k citations
809 papers · 33.8k indexed · 33 hit papers · h-index 87

Yonina C. Eldar

773 papers receiving 32.8k citations

Hit Papers

Edge ...392199120262002201450010001.5k

Peers

Yonina C. Eldar
Comparison fields: 5 of 177
  • Signal Processing 6.7k
  • Computational Mechanics 11.6k
  • Acoustics and Ultrasonics 377
  • Computer Vision and Pattern Recognition 5.9k
  • Aerospace Engineering 7.1k
Replace Terence Tao with:
Terence Tao United States
Richard G. Baraniuk United States
Joel A. Tropp United States
Justin Romberg United States
Michael Elad Israel
Zhou Wang China
Michael B. Wakin United States
David L. Donoho United States
Emmanuel J. Candès United States
Hamid R. Sheikh United States
Yonina C. Eldar relative to Terence Tao United States Terence Tao's profile →
Citations per field
00.5×10×13.5×
Terence Tao · 1×
Citations per year

Countries citing papers authored by Yonina C. Eldar

Since Specialization
Citations

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

Fields of papers citing papers by Yonina C. Eldar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonina C. Eldar. 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 Yonina C. Eldar. The network helps show where Yonina C. Eldar may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 202511
4 20242
5 20241
6 20241
7 202417
8 20240
9 20241
10 20246
11 202413
12 202329
13 202310
14
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensingbreakdown →
2023392
15 2023104
16 202215
17 202034
18 201911
19 20181
20
Compressed Sensingbreakdown →
20121142

About Yonina C. Eldar

Yonina C. Eldar is a scholar working on Signal Processing, Computational Mechanics, Structural Biology, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 809 papers that have together received 33.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (285 papers), Blind Source Separation Techniques (109 papers), Image and Signal Denoising Methods (96 papers), Radar Systems and Signal Processing (66 papers), Direction-of-Arrival Estimation Techniques (66 papers), Microwave Imaging and Scattering Analysis (64 papers), Advanced MIMO Systems Optimization (57 papers) and Mathematical Analysis and Transform Methods (53 papers). The work is most often cited by research in Signal Processing (6.7k citations), Computational Mechanics (11.6k citations), Acoustics and Ultrasonics (377 citations), Computer Vision and Pattern Recognition (5.9k citations) and Aerospace Engineering (7.1k citations). Yonina C. Eldar has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Moshe Mishali, Gitta Kutyniok, Nir Shlezinger, Ami Wiesel, Shlomo Shamai, Fan Liu, Christos Masouros, Helmut Bölcskei, Marco F. Duarte and Amir Beck. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Signal Processing Magazine, IEEE Transactions on Wireless Communications and IEEE Signal Processing Letters.

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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