Raanan Fattal
- Computer Vision and Pattern Recognition top 0.05%
- Media Technology top 0.02%
- Computational Mechanics top 0.5%
- Computer Graphics and Computer-Aided Design top 0.2%
- Fluid Flow and Transfer Processes top 0.5%
- Co-authors
- Dani LischinskiMichael WermanRaz KupfermanZeev FarbmanRichard SzeliskiManeesh AgrawalaSzymon RusinkiewiczMartien A. Hulsen
- Topics
- Computer Graphics and Visualization Techniques (18 papers)Advanced Vision and Imaging (16 papers)Advanced Image Processing Techniques (16 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- ACM Transactions on GraphicsJournal of Non-Newtonian Fluid MechanicsComputer Graphics Forum
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Raanan Fattal
50 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 7.5k
- Media Technology 3.7k
- Computational Mechanics 1.5k
- Computer Graphics and Computer-Aided Design 1.2k
- Fluid Flow and Transfer Processes 729
Countries citing papers authored by Raanan Fattal
This map shows the geographic impact of Raanan Fattal'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 Raanan Fattal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raanan Fattal more than expected).
Fields of papers citing papers by Raanan Fattal
This network shows the impact of papers produced by Raanan Fattal. 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 Raanan Fattal. The network helps show where Raanan Fattal may publish in the future.
Co-authorship network of co-authors of Raanan Fattal
This figure shows the co-authorship network connecting the top 25 collaborators of Raanan Fattal. A scholar is included among the top collaborators of Raanan Fattal 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 Raanan Fattal. Raanan Fattal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 23 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 43 | |
| 6 | 37 | |
| 7 | Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint | 5 |
| 8 | 71 | |
| 9 | 35 | |
| 10 | 177 | |
| 11 | 301 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 185 | |
| 15 | 1 | |
| 16 | 300 | |
| 17 | 272 | |
| 18 | 37 | |
| 19 | 135 | |
| 20 | 7 |
About Raanan Fattal
Raanan Fattal is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 50 papers that have together received 9.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Advanced Vision and Imaging (16 papers) and Advanced Image Processing Techniques (16 papers). The work is most often cited by research in Media Technology (3.7k citations), Computer Vision and Pattern Recognition (7.5k citations) and Computer Graphics and Computer-Aided Design (1.2k citations). Raanan Fattal has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Dani Lischinski, Michael Werman, Raz Kupferman, Zeev Farbman, Richard Szeliski, Maneesh Agrawala, Szymon Rusinkiewicz, Martien A. Hulsen, Rony Goldenthal and Eitan Grinspun. Their work appears in journals such as ACM Transactions on Graphics, Journal of Non-Newtonian Fluid Mechanics 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.