Rana Hanocka
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Geology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Daniel Cohen‐OrRaja GiryesShachar FleishmanNoa FishAmir HertzZhenhua WangKfir AbermanGal Metzer
- Topics
- 3D Shape Modeling and Analysis (15 papers)Computer Graphics and Visualization Techniques (10 papers)Advanced Numerical Analysis Techniques (7 papers)
- Journals
- ACM Transactions on GraphicsComputer Graphics ForumKnowledge@UChicago (University of Chicago)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Rana Hanocka
17 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computational Mechanics 404
- Computer Vision and Pattern Recognition 308
- Computer Graphics and Computer-Aided Design 235
- Geology 121
- Control and Systems Engineering 67
Countries citing papers authored by Rana Hanocka
This map shows the geographic impact of Rana Hanocka'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 Rana Hanocka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rana Hanocka more than expected).
Fields of papers citing papers by Rana Hanocka
This network shows the impact of papers produced by Rana Hanocka. 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 Rana Hanocka. The network helps show where Rana Hanocka may publish in the future.
Co-authorship network of co-authors of Rana Hanocka
This figure shows the co-authorship network connecting the top 25 collaborators of Rana Hanocka. A scholar is included among the top collaborators of Rana Hanocka 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 Rana Hanocka. Rana Hanocka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 10 | |
| 12 | 43 | |
| 13 | 37 | |
| 14 | 18 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | MeshCNNbreakdown → | 350 |
| 20 | 92 |
About Rana Hanocka
Rana Hanocka is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 604 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Computer Graphics and Visualization Techniques (10 papers) and Advanced Numerical Analysis Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (235 citations), Geology (121 citations) and Computational Mechanics (404 citations). Rana Hanocka has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Daniel Cohen‐Or, Raja Giryes, Shachar Fleishman, Noa Fish, Amir Hertz, Zhenhua Wang, Kfir Aberman, Gal Metzer, Olga Sorkine‐Hornung and Daniele Panozzo. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Knowledge@UChicago (University of Chicago).
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.