Oran Lang

2.5k total citations · 2 hit papers
7 papers, 913 citations indexed

About

Oran Lang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Oran Lang has authored 7 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Oran Lang's work include Generative Adversarial Networks and Image Synthesis (3 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Oran Lang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Oran Lang collaborates with scholars based in Israel, United States and Switzerland. Oran Lang's co-authors include Inbar Mosseri, Tali Dekel, Michal Irani, Avinatan Hassidim, William T. Freeman, Omer Tov, Michael Rubinstein, Kevin Wilson, Ariel Ephrat and Shiran Zada and has published in prestigious journals such as ACM Transactions on Graphics, EBioMedicine and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Oran Lang

6 papers receiving 894 citations

Hit Papers

Looking to listen at the cocktail party 2018 2026 2020 2023 2018 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Looking to listen at the cocktail party
    2018 376 citations Ariel Ephrat, Inbar Mosseri et al. ACM Transactions on Graphics profile →
  2. Imagic: Text-Based Real Image Editing with Diffusion Models
    2023 364 citations Bahjat Kawar, Shiran Zada et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oran Lang Israel 6 445 384 293 102 96 7 913
Inbar Mosseri Israel 10 654 1.5× 356 0.9× 261 0.9× 126 1.2× 115 1.2× 15 1.1k
Lele Chen United States 10 574 1.3× 234 0.6× 67 0.2× 112 1.1× 117 1.2× 31 745
Florian Strub United States 5 574 1.3× 155 0.4× 451 1.5× 40 0.4× 30 0.3× 10 964
Supasorn Suwajanakorn Thailand 10 1.1k 2.4× 282 0.7× 192 0.7× 100 1.0× 50 0.5× 22 1.3k
Ariel Ephrat Israel 7 206 0.5× 425 1.1× 209 0.7× 69 0.7× 11 0.1× 10 594
Peiran Ren China 16 1.1k 2.4× 134 0.3× 103 0.4× 146 1.4× 319 3.3× 32 1.2k
Céline Hudelot France 12 300 0.7× 72 0.2× 179 0.6× 110 1.1× 136 1.4× 37 619
Ziyu Wan China 12 562 1.3× 45 0.1× 83 0.3× 99 1.0× 124 1.3× 26 817
Shoou-I Yu United States 17 691 1.6× 75 0.2× 316 1.1× 62 0.6× 27 0.3× 31 891
Giuseppe Valenzise France 19 930 2.1× 421 1.1× 159 0.5× 177 1.7× 56 0.6× 85 1.3k

Countries citing papers authored by Oran Lang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Oran Lang

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

All Works

7 of 7 papers shown
1.
Lang, Oran, Doron Stupp, Ilana Traynis, et al.. (2024). Using generative AI to investigate medical imagery models and datasets. EBioMedicine. 102. 105075–105075. 25 indexed citations
2.
3.
Kawar, Bahjat, Shiran Zada, Oran Lang, et al.. (2023). Imagic: Text-Based Real Image Editing with Diffusion Models. 6007–6017. 364 indexed citations breakdown →
4.
Mokady, Ron, Omer Tov, Oran Lang, et al.. (2022). Self-Distilled StyleGAN: Towards Generation from Internet Photos. 1–9. 19 indexed citations
5.
Lang, Oran, Gal Elidan, Avinatan Hassidim, et al.. (2021). Explaining in Style: Training a GAN to explain a classifier in StyleSpace. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 673–682. 53 indexed citations
6.
Shor, Joel, Aren Jansen, Ronnie Maor, et al.. (2020). Towards Learning a Universal Non-Semantic Representation of Speech. arXiv (Cornell University). 140–144. 76 indexed citations
7.
Ephrat, Ariel, Inbar Mosseri, Oran Lang, et al.. (2018). Looking to listen at the cocktail party. ACM Transactions on Graphics. 37(4). 1–11. 376 indexed citations breakdown →

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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