Emil Saucan
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Geometry and Topology top 5%
- Co-authors
- Jürgen JostAreejit SamalYehoshua Y. ZeeviKarthikeyan MohanrajXianfeng GuMelanie WeberJie GaoRomeil Sandhu
- Topics
- Topological and Geometric Data Analysis (18 papers)Advanced Numerical Analysis Techniques (13 papers)3D Shape Modeling and Analysis (12 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Emil Saucan
53 papers receiving 386 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 169
- Applied Mathematics 88
- Statistical and Nonlinear Physics 85
- Computer Vision and Pattern Recognition 80
- Geometry and Topology 75
Countries citing papers authored by Emil Saucan
This map shows the geographic impact of Emil Saucan'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 Emil Saucan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil Saucan more than expected).
Fields of papers citing papers by Emil Saucan
This network shows the impact of papers produced by Emil Saucan. 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 Emil Saucan. The network helps show where Emil Saucan may publish in the future.
Co-authorship network of co-authors of Emil Saucan
This figure shows the co-authorship network connecting the top 25 collaborators of Emil Saucan. A scholar is included among the top collaborators of Emil Saucan 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 Emil Saucan. Emil Saucan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 70 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | Two-dimensional sampling and representation of folded surfaces embedded in higher dimensional manifolds | 2 |
| 19 | 8 | |
| 20 | 4 |
About Emil Saucan
Emil Saucan is a scholar working on Geometry and Topology, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 55 papers that have together received 397 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (18 papers), Advanced Numerical Analysis Techniques (13 papers) and 3D Shape Modeling and Analysis (12 papers). The work is most often cited by research in Computational Theory and Mathematics (169 citations), Geometry and Topology (75 citations) and Applied Mathematics (88 citations). Emil Saucan has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Jürgen Jost, Areejit Samal, Yehoshua Y. Zeevi, Karthikeyan Mohanraj, Xianfeng Gu, Melanie Weber, Jie Gao, Romeil Sandhu, Zhongxuan Luo and R.P. Vivek-Ananth. Their work appears in journals such as Scientific Reports, Chaos Solitons & Fractals and Image and Vision Computing.
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.