Oran Lang
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Generative Adversarial Networks and Image Synthesis 4
- Video Analysis and Summarization 2
- Digital Media Forensic Detection 2
- Multimodal Machine Learning Applications 1
- Co-authors
- Inbar Mosseri (4 shared papers)Tali Dekel (3 shared papers)Michal Irani (4 shared papers)Avinatan Hassidim (4 shared papers)Omer Tov (2 shared papers)William T. Freeman (2 shared papers)Hui‐Wen Chang (1 shared paper)Bahjat Kawar (1 shared paper)
- Journals
- Nature Biomedical Engineering (1 paper)ACM Transactions on Graphics (1 paper)EBioMedicine (1 paper)Social Science & Medicine (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Oran Lang
6 papers receiving 1.1k citations
Oran Lang's Hit Papers
Peers
Comparison fields: 5 of 94
- Signal Processing 432
- Computer Graphics and Computer-Aided Design 121
- Computer Vision and Pattern Recognition 570
- Health Informatics 16
- Artificial Intelligence 331
Countries citing papers authored by Oran Lang
This map shows the geographic impact of Oran Lang'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 Oran Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oran Lang more than expected).
Fields of papers citing papers by Oran Lang
This network shows the impact of papers produced by Oran Lang. 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 Oran Lang. The network helps show where Oran Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Oran Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Imagic: Text-Based Real Image Editing with Diffusion Models Hit paper breakdown → | 2023 | 467 |
| 2 | Looking to listen at the cocktail party Hit paper breakdown → | 2018 | 424 |
| 3 | 2020 | 86 | |
| 4 | 2021 | 72 | |
| 5 | 2024 | 29 | |
| 6 | 2022 | 21 | |
| 7 | 2026 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2024 | 0 |
About Oran Lang
Oran Lang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Artificial Intelligence and Biophysics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Video Analysis and Summarization (2 papers), Digital Media Forensic Detection (2 papers), Music and Audio Processing (2 papers), Speech and Audio Processing (2 papers), Multimodal Machine Learning Applications (1 paper), Reinforcement Learning in Robotics (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Signal Processing (432 citations), Computer Graphics and Computer-Aided Design (121 citations), Computer Vision and Pattern Recognition (570 citations), Health Informatics (16 citations) and Artificial Intelligence (331 citations). Oran Lang has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Inbar Mosseri, Tali Dekel, Michal Irani, Avinatan Hassidim, Omer Tov, William T. Freeman, Hui‐Wen Chang, Bahjat Kawar, Shiran Zada and Michael Rubinstein. Their work appears in journals such as Nature Biomedical Engineering, ACM Transactions on Graphics, EBioMedicine, Social Science & Medicine and arXiv (Cornell University).
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.