Itai Lang
Impact in
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- 3D Shape Modeling and Analysis 13
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 1
- Medical Image Segmentation Techniques 1
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Shai Avidan (7 shared papers)Rana Hanocka (8 shared papers)Dror Aiger (1 shared paper)Forrester Cole (1 shared paper)Dan Raviv (1 shared paper)Hedva Spitzer (1 shared paper)Miri Sklair‐Levy (1 shared paper)Kfir Aberman (1 shared paper)
- Journals
- Computer Graphics Forum (2 papers)Computational Visual Media (1 paper)Computers in Biology and Medicine (1 paper)Lecture notes in computer science (1 paper)International Conference on 3D Vision (3DV) (3 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Itai Lang
16 papers receiving 412 citations
Peers
Comparison fields: 5 of 30
- Computational Mechanics 282
- Computer Vision and Pattern Recognition 90
- Computer Graphics and Computer-Aided Design 10
- Signal Processing 12
- Geology 8
Countries citing papers authored by Itai Lang
This map shows the geographic impact of Itai 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 Itai Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itai Lang more than expected).
Fields of papers citing papers by Itai Lang
This network shows the impact of papers produced by Itai 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 Itai Lang. The network helps show where Itai Lang may publish in the future.
Co-authors
The 17 scholars most cited alongside Itai 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 | 2020 | 146 | |
| 2 | 2019 | 140 | |
| 3 | 2023 | 29 | |
| 4 | 2021 | 23 | |
| 5 | 2023 | 20 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2021 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Itai Lang
Itai Lang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Geology, Artificial Intelligence and Nuclear Energy and Engineering, having authored 17 papers that have together received 416 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (13 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (1 paper), 3D Surveying and Cultural Heritage (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computational Mechanics (282 citations), Computer Vision and Pattern Recognition (90 citations), Computer Graphics and Computer-Aided Design (10 citations), Signal Processing (12 citations) and Geology (8 citations). Itai Lang has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Shai Avidan, Rana Hanocka, Dror Aiger, Forrester Cole, Dan Raviv, Hedva Spitzer, Miri Sklair‐Levy, Kfir Aberman, Hadar Averbuch‐Elor and Hyunwoo Kim. Their work appears in journals such as Computer Graphics Forum, Computational Visual Media, Computers in Biology and Medicine, Lecture notes in computer science and International Conference on 3D Vision (3DV).
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.