Ran Gal
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Geology top 5%
- Aerospace Engineering top 10%
- Co-authors
- Daniel Cohen‐OrOlga SorkineYingqing XuTommer LeyvandNiloy J. MitraAriel ShamirEyal OfekHugues Hoppe
- Topics
- Computer Graphics and Visualization Techniques (7 papers)3D Shape Modeling and Analysis (7 papers)Image Processing and 3D Reconstruction (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Visualization and Computer GraphicsComputer Graphics Forum
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Ran Gal
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 941
- Computational Mechanics 646
- Computer Graphics and Computer-Aided Design 450
- Geology 154
- Aerospace Engineering 119
Countries citing papers authored by Ran Gal
This map shows the geographic impact of Ran Gal'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 Ran Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Gal more than expected).
Fields of papers citing papers by Ran Gal
This network shows the impact of papers produced by Ran Gal. 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 Ran Gal. The network helps show where Ran Gal may publish in the future.
Co-authorship network of co-authors of Ran Gal
This figure shows the co-authorship network connecting the top 25 collaborators of Ran Gal. A scholar is included among the top collaborators of Ran Gal 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 Ran Gal. Ran Gal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 23 | |
| 3 | 21 | |
| 4 | SurroundWeb: Least Privilege for Immersive "Web Rooms" | 2 |
| 5 | 49 | |
| 6 | Least Privilege Rendering in a 3D Web Browser | 1 |
| 7 | 92 | |
| 8 | 176 | |
| 9 | 27 | |
| 10 | 119 | |
| 11 | 63 | |
| 12 | 51 | |
| 13 | 241 | |
| 14 | Salient geometric features for partial shape matching and similaritybreakdown → | 368 |
| 15 | 76 |
About Ran Gal
Ran Gal is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (7 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (450 citations), Computer Vision and Pattern Recognition (941 citations) and Computational Mechanics (646 citations). Ran Gal has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Daniel Cohen‐Or, Olga Sorkine, Yingqing Xu, Tommer Leyvand, Niloy J. Mitra, Ariel Shamir, Eyal Ofek, Hugues Hoppe, Yonatan Wexler and Yaron Lipman. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.