Bahjat Kawar

1.2k citations
5 papers · 431 indexed · 1 hit paper · h-index 3
Topics
Generative Adversarial Networks and Image Synthesis (2 papers)Image and Signal Denoising Methods (1 paper)Advanced Image Fusion Techniques (1 paper)
Partner nations
IsraelUnited States

In The Last Decade

Bahjat Kawar

4 papers receiving 423 citations

Hit Papers

Imagic: Text-Based Real Image Editing with Diffusion Models20232026202420252023100200300

Peers

Bahjat Kawar
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 333
  • Computer Graphics and Computer-Aided Design 87
  • Artificial Intelligence 77
  • Media Technology 43
  • Computational Mechanics 36
Replace Shiran Zada with:
Shiran Zada United States
Songhua Liu China
Victor Lempitsky Russia
Yonghyun Jeong South Korea
Tobias Hinz Germany
Luís Paulo Santos Portugal
Chong Mou China
Chenyang Lei Hong Kong
Thijs Vogels United States
Daniyar Turmukhambetov United Kingdom
Bahjat Kawar relative to Shiran Zada United States Shiran Zada's profile →
Citations per field
00.5×1.5×1.9×
Shiran Zada · 1×
Citations per year

Countries citing papers authored by Bahjat Kawar

Since Specialization
Citations

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

Fields of papers citing papers by Bahjat Kawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahjat Kawar

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2 16
3
Imagic: Text-Based Real Image Editing with Diffusion Modelsbreakdown →
364
4 50
5 0

About Bahjat Kawar

Bahjat Kawar is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 5 papers that have together received 431 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Image and Signal Denoising Methods (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (87 citations), Computer Vision and Pattern Recognition (333 citations) and Media Technology (43 citations). Bahjat Kawar has collaborated with scholars based in Israel and United States. Frequent co-authors include Hui‐Wen Chang, Shiran Zada, Oran Lang, Tali Dekel, Inbar Mosseri, Michal Irani, Omer Tov, Michael Elad, Yonatan Belinkov and Tomer Michaeli. Their work appears in journals such as SIAM Journal on Imaging Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026