S. Sifrony
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Micha SharirRichard PollackLeonidas GuibasJános PachEmo WelzlLeo J. GuibasRichard ColeDaniel Leven
- Topics
- Computational Geometry and Mesh Generation (10 papers)Robotic Path Planning Algorithms (8 papers)Advanced Numerical Analysis Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- United StatesIsraelGermany
In The Last Decade
S. Sifrony
10 papers receiving 330 citations
Peers
Comparison fields: 5 of 34
- Computer Graphics and Computer-Aided Design 306
- Computer Vision and Pattern Recognition 230
- Computational Theory and Mathematics 72
- Aerospace Engineering 72
- Industrial and Manufacturing Engineering 54
Countries citing papers authored by S. Sifrony
This map shows the geographic impact of S. Sifrony'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 S. Sifrony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sifrony more than expected).
Fields of papers citing papers by S. Sifrony
This network shows the impact of papers produced by S. Sifrony. 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 S. Sifrony. The network helps show where S. Sifrony may publish in the future.
Co-authorship network of co-authors of S. Sifrony
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sifrony. A scholar is included among the top collaborators of S. Sifrony 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 S. Sifrony. S. Sifrony 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 | 103 | |
| 3 | 14 | |
| 4 | 74 | |
| 5 | 24 | |
| 6 | 66 | |
| 7 | 14 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | 21 |
About S. Sifrony
S. Sifrony is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 10 papers that have together received 367 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (10 papers), Robotic Path Planning Algorithms (8 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (306 citations), Computer Vision and Pattern Recognition (230 citations) and Industrial and Manufacturing Engineering (54 citations). S. Sifrony has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Micha Sharir, Richard Pollack, Leonidas Guibas, János Pach, Emo Welzl, Leo J. Guibas, Richard Cole, Daniel Leven, Klara Kedem and J Matousek. Their work appears in journals such as SIAM Journal on Computing, Algorithmica and Discrete & Computational Geometry.
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.