Ohad Fried

2.4k citations
32 papers · 1.3k · 2 hit papers · h-index 13

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 11
    • Advanced Vision and Imaging 7
    • Advanced Image and Video Retrieval Techniques 6
    • Advanced Image Processing Techniques 4
    • Image Retrieval and Classification Techniques 4
    • Image Enhancement Techniques 3
    • Human Pose and Action Recognition 3
    • Computer Graphics and Visualization Techniques 6

Ohad Fried

30 papers receiving 1.3k citations

Ohad Fried's Hit Papers

Blended Latent Diffusion 2023 · 166 citations
1660+1+2Years since publication100200300400

Peers

Ohad Fried
Comparison fields: 5 of 103
  • Computer Graphics and Computer-Aided Design 249
  • Computer Vision and Pattern Recognition 1.0k
  • Signal Processing 105
  • Human-Computer Interaction 45
  • Artificial Intelligence 188
Replace Nataniel Ruiz with:
Nataniel Ruiz United States
Huiwen Chang United States
Koki Nagano United States
Baoyuan Wang China
Alex Colburn United States
Stefan Müller Germany
James Tompkin United States
Inbar Mosseri Israel
Ayush Tewari Germany
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-authors

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

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blended Diffusion for Text-driven Editing of Natural Images
Hit paper breakdown →
2022412
2 2015175
3
Blended Latent Diffusion
Hit paper breakdown →
2023166
4 2020119
5 202381
6 202359
7 201859
8 201646
9 201532
10 202227
11 202117
12 202017
13 202314
14 201712
15 201511
16 202410
17 20219
18 20149
19 20219
20 20238

About Ohad Fried

Ohad Fried is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Human-Computer Interaction and Computational Mechanics, having authored 32 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), Advanced Image and Video Retrieval Techniques (6 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Image Processing Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Image Enhancement Techniques (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 (249 citations), Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (105 citations), Human-Computer Interaction (45 citations) and Artificial Intelligence (188 citations). Ohad Fried has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Omri Avrahami, Dani Lischinski, Adam Finkelstein, Maneesh Agrawala, Stephen DiVerdi, Yiming Liu, Huiwen Chang, Hany Farid, Shruti Agarwal 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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