Doron Shaked

39 papers receiving 1.3k citations

Hit Papers

A Variational Framework for Retinex20032026201020182003100200300400500

Peers

Doron Shaked
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 306
  • Atomic and Molecular Physics, and Optics 279
  • Computational Mechanics 166
  • Computer Graphics and Computer-Aided Design 163
Replace Catalina Sbert with:
Catalina Sbert Spain
Jonas Unger Sweden
Samuel W. Hasinoff United States
Moshe Ben-Ezra China
Zeev Farbman United States
Tom Mertens Belgium
Yacov Hel-Or Israel
Francis Schmitt France
Ivo Ihrke Germany
Bennett Wilburn United States
Doron Shaked relative to Catalina Sbert Spain Catalina Sbert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Doron Shaked

Since Specialization
Citations

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

Fields of papers citing papers by Doron Shaked

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doron Shaked

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 4
5 2
6 6
7 1
8 39
9
Interpolation for non-linear Retinex-type algorithms
1
10 50
11 62
12 6
13 37
14 1
15 12
16
Color diffusion Error-diffusion for color halftones
12
17 39
18 123
19 14
20 40

About Doron Shaked

Doron Shaked is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Color Science and Applications (18 papers), Image Enhancement Techniques (12 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (163 citations) and Media Technology (306 citations). Doron Shaked has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Ron Kimmel, Alfred M. Bruckstein⋆, Michael Elad, Irwin Sobel, Renato Keshet, Nahum Kiryati, Ingeborg Tastl, Guillermo Sapiro, Opher Yaron and Z. Baharav. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

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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