Or Litany
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Image Processing and 3D Reconstruction
Papers in
-
- Advanced Vision and Imaging 9
- Advanced Neural Network Applications 6
- Human Pose and Action Recognition 4
-
- 3D Shape Modeling and Analysis 15
- Advanced Numerical Analysis Techniques 4
- Co-authors
- Leonidas Guibas (5 shared papers)Alex Bronstein (7 shared papers)Sanja Fidler (11 shared papers)Emanuele Rodolà (4 shared papers)Srinath Sridhar (3 shared papers)Žan Gojčič (5 shared papers)Vincent Sitzmann (2 shared papers)James Tompkin (2 shared papers)
- Journals
- Computer Graphics Forum (4 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)arXiv (Cornell University) (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Or Litany
33 papers receiving 1.3k citations
Or Litany's Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Graphics and Computer-Aided Design 320
- Computer Vision and Pattern Recognition 781
- Geology 174
- Computational Mechanics 514
- Automotive Engineering 98
Countries citing papers authored by Or Litany
This map shows the geographic impact of Or Litany'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 Or Litany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Or Litany more than expected).
Fields of papers citing papers by Or Litany
This network shows the impact of papers produced by Or Litany. 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 Or Litany. The network helps show where Or Litany may publish in the future.
Co-authors
The 25 scholars most cited alongside Or Litany, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neural Fields in Visual Computing and Beyond Hit paper breakdown → | 2022 | 285 |
| 2 | 2021 | 131 | |
| 3 | Mask3D: Mask Transformer for 3D Semantic Instance Segmentation Hit paper breakdown → | 2023 | 107 |
| 4 | 2021 | 82 | |
| 5 | 2019 | 81 | |
| 6 | 2022 | 78 | |
| 7 | 2021 | 71 | |
| 8 | 2017 | 56 | |
| 9 | 2017 | 53 | |
| 10 | 2021 | 53 | |
| 11 | 2023 | 43 | |
| 12 | 2022 | 43 | |
| 13 | 2022 | 40 | |
| 14 | 2023 | 39 | |
| 15 | 2023 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2021 | 17 | |
| 18 | 2017 | 16 | |
| 19 | 2024 | 13 | |
| 20 | 2024 | 11 |
About Or Litany
Or Litany is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Aerospace Engineering and Artificial Intelligence, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (9 papers), Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (6 papers), 3D Surveying and Cultural Heritage (5 papers), Human Pose and Action Recognition (4 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (320 citations), Computer Vision and Pattern Recognition (781 citations), Geology (174 citations), Computational Mechanics (514 citations) and Automotive Engineering (98 citations). Or Litany has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Leonidas Guibas, Alex Bronstein, Sanja Fidler, Emanuele Rodolà, Srinath Sridhar, Žan Gojčič, Vincent Sitzmann, James Tompkin, Towaki Takikawa and Shunsuke Saito. Their work appears in journals such as Computer Graphics Forum, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), HAL (Le Centre pour la Communication Scientifique Directe), arXiv (Cornell University) and International Conference on Machine Learning.
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.