Tomer Peleg

1.3k total citations · 2 hit papers
10 papers, 849 citations indexed

About

Tomer Peleg is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Tomer Peleg has authored 10 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Tomer Peleg's work include Image and Signal Denoising Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Image Processing Techniques (3 papers). Tomer Peleg is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Image Processing Techniques (3 papers). Tomer Peleg collaborates with scholars based in Israel, United Kingdom and France. Tomer Peleg's co-authors include Michael Elad, Ron Rubinstein, Yonina C. Eldar, Omry Sendik, Pablo Székely, Boaz Rafaely, Mike Davies, Rémi Gribonval, Patrick Pérez and Zehavit Kohen and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Tomer Peleg

10 papers receiving 817 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model

2012 327 citations Ron Rubinstein, Tomer Peleg et al. IEEE Transactions on Signal Processing profile →
A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution

2014 301 citations Tomer Peleg, Michael Elad IEEE Transactions on Image Processing profile →

Peers

Tomer Peleg

CVPR

MT

CM

BE

SP

João Oliveira Portugal

Kunal N. Chaudhury India

Francis Bach France

Yecai Guo China

Lihan He United States

Jacob Munkberg Sweden

Simon Niklaus United States

Karl Skretting Norway

Wuzhen Shi China

Chunling Yang China

João Oliveira Portugal

Tomer Peleg

468 ×0.7

CVPR

191 ×0.6

MT

242 ×0.8

CM

111 ×0.8

BE

38 ×0.3

SP

Citations per year, relative to Tomer Peleg Tomer Peleg (= 1×) peers João Oliveira

Countries citing papers authored by Tomer Peleg

Since Specialization

Citations

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

Fields of papers citing papers by Tomer Peleg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Peleg

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Peleg, Tomer, et al.. (2024). SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing. IEEE Open Journal of Signal Processing. 5. 611–620. 1 indexed citations

2.

Dana, Alexandra, et al.. (2024). Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains. 4440–4450. 1 indexed citations

3.

Kohen, Zehavit, et al.. (2023). Who moved my triangle? Pre- and in-service teachers inquiring in a mathematics lab. International Journal of Mathematical Education in Science and Technology. 56(1). 130–158. 3 indexed citations

4.

Peleg, Tomer, et al.. (2019). IM-Net for High Resolution Video Frame Interpolation. 2393–2402. 50 indexed citations

5.

Peleg, Tomer & Michael Elad. (2014). A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution. IEEE Transactions on Image Processing. 23(6). 2569–2582. 301 indexed citations breakdown →

6.

Davies, Mike, et al.. (2014). Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Transactions on Information Theory. 60(12). 7928–7946. 22 indexed citations

7.

Peleg, Tomer & Michael Elad. (2012). Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model. IEEE Transactions on Information Theory. 59(3). 1832–1845. 25 indexed citations

8.

Rubinstein, Ron, Tomer Peleg, & Michael Elad. (2012). Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model. IEEE Transactions on Signal Processing. 61(3). 661–677. 327 indexed citations breakdown →

9.

Peleg, Tomer, Yonina C. Eldar, & Michael Elad. (2012). Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. IEEE Transactions on Signal Processing. 60(5). 2286–2303. 103 indexed citations

10.

Peleg, Tomer & Boaz Rafaely. (2011). Investigation of spherical loudspeaker arrays for local active control of sound. The Journal of the Acoustical Society of America. 130(4). 1926–1935. 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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