Daniel Leven
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
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- Robotic Path Planning Algorithms
- Digital Image Processing Techniques
Papers in
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- Computational Geometry and Mesh Generation 7
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- Optimization and Search Problems 4
- Co-authors
- Micha Sharir (7 shared papers)Leonidas Guibas (2 shared papers)John Hershberger (2 shared papers)Robert E. Tarjan (2 shared papers)Zvi Galil (1 shared paper)S. Sifrony (1 shared paper)Richard Cole (1 shared paper)Klara Kedem (1 shared paper)
- Journals
- Discrete & Computational Geometry (2 papers)Journal of Algorithms (2 papers)Algorithmica (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Daniel Leven
9 papers receiving 641 citations
Peers
Comparison fields: 5 of 40
- Computer Graphics and Computer-Aided Design 512
- Computer Vision and Pattern Recognition 356
- Discrete Mathematics and Combinatorics 52
- Signal Processing 167
- Computational Theory and Mathematics 145
Countries citing papers authored by Daniel Leven
This map shows the geographic impact of Daniel Leven'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 Daniel Leven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Leven more than expected).
Fields of papers citing papers by Daniel Leven
This network shows the impact of papers produced by Daniel Leven. 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 Daniel Leven. The network helps show where Daniel Leven may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Leven, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 301 | |
| 2 | 1987 | 94 | |
| 3 | 1983 | 94 | |
| 4 | 1986 | 76 | |
| 5 | 1987 | 39 | |
| 6 | 1985 | 36 | |
| 7 | 1987 | 32 | |
| 8 | 1986 | 21 | |
| 9 | 1980 | 1 | |
| 10 | 2005 | 0 |
About Daniel Leven
Daniel Leven is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, having authored 10 papers that have together received 694 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (7 papers), Robotic Path Planning Algorithms (5 papers), Optimization and Search Problems (4 papers), Robotics and Sensor-Based Localization (3 papers), Data Management and Algorithms (1 paper), Point processes and geometric inequalities (1 paper), Optimal Power Flow Distribution (1 paper) and Electric Power System Optimization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (512 citations), Computer Vision and Pattern Recognition (356 citations), Discrete Mathematics and Combinatorics (52 citations), Signal Processing (167 citations) and Computational Theory and Mathematics (145 citations). Daniel Leven has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Micha Sharir, Leonidas Guibas, John Hershberger, Robert E. Tarjan, Zvi Galil, S. Sifrony, Richard Cole, Klara Kedem, Richard Pollack and V. Conrad. Their work appears in journals such as Discrete & Computational Geometry, Journal of Algorithms and Algorithmica.
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.