Ohad Fried

2.3k citations
31 papers · 1.3k indexed · 2 hit papers · h-index 13

Ohad Fried

30 papers receiving 1.2k citations

Hit Papers

Blended Latent Diffusion1472022202620232024100200300

Peers

Ohad Fried
Comparison fields: 5 of 106
  • Computer Graphics and Computer-Aided Design 239
  • Computer Vision and Pattern Recognition 983
  • Signal Processing 102
  • Human-Computer Interaction 39
  • Media Technology 49
Replace Nataniel Ruiz with:
Nataniel Ruiz United States
Huiwen Chang United States
Stefan Müller Germany
Koki Nagano United States
Alex Colburn United States
Ayush Tewari Germany
James Tompkin United States
Céline Hudelot France
Supasorn Suwajanakorn Thailand
Ohad Fried relative to Nataniel Ruiz United States Nataniel Ruiz's profile →
Citations per field
00.5×7.8×
Nataniel Ruiz · 1×
Citations per year

Countries citing papers authored by Ohad Fried

Since Specialization
Citations

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

Fields of papers citing papers by Ohad Fried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20245
5 20244
6 20245
7 202358
8
Blended Latent Diffusionbreakdown →
2023147
9 202377
10 20236
11 20232
12
Blended Diffusion for Text-driven Editing of Natural Imagesbreakdown →
2022389
13 2020110
14 202014
15 20197
16 201859
17 201711
18 201511
19 20149
20 20137

About Ohad Fried

Ohad Fried is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing and General Social Sciences, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (11 papers), Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Image Processing Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Video Analysis and Summarization (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (239 citations), Computer Vision and Pattern Recognition (983 citations), Signal Processing (102 citations), Human-Computer Interaction (39 citations) and Media Technology (49 citations). Ohad Fried has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Omri Avrahami, Dani Lischinski, Adam Finkelstein, Stephen DiVerdi, Maneesh Agrawala, Huiwen Chang, Yiming Liu, Shruti Agarwal, Hany Farid and Daniel Cohen‐Or. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, JAMA Facial Plastic Surgery, Communications of the ACM 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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