Danil Kirsanov
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Steven J. GortlerTatiana SurazhskyHugues HoppeVitaly SurazhskyDale BeckerMatteo CocchiniSteven G. Pytel
- Topics
- Computational Geometry and Mesh Generation (4 papers)Advanced Numerical Analysis Techniques (3 papers)Data Management and Algorithms (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on GraphicsEuropean Heart Journal Acute Cardiovascular CareIMAPSource Proceedings
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Danil Kirsanov
5 papers receiving 408 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computational Mechanics 283
- Computer Graphics and Computer-Aided Design 247
- Computer Vision and Pattern Recognition 163
- Aerospace Engineering 33
- Control and Systems Engineering 24
Countries citing papers authored by Danil Kirsanov
This map shows the geographic impact of Danil Kirsanov'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 Danil Kirsanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danil Kirsanov more than expected).
Fields of papers citing papers by Danil Kirsanov
This network shows the impact of papers produced by Danil Kirsanov. 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 Danil Kirsanov. The network helps show where Danil Kirsanov may publish in the future.
Co-authorship network of co-authors of Danil Kirsanov
This figure shows the co-authorship network connecting the top 25 collaborators of Danil Kirsanov. A scholar is included among the top collaborators of Danil Kirsanov 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 Danil Kirsanov. Danil Kirsanov 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 | Fast exact and approximate geodesics on meshesbreakdown → | 348 |
| 3 | 56 | |
| 4 | 20 | |
| 5 | Minimal discrete curves and surfaces | 9 |
| 6 | 1 |
About Danil Kirsanov
Danil Kirsanov is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computational Mechanics, having authored 6 papers that have together received 434 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (4 papers), Advanced Numerical Analysis Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (247 citations), Computational Mechanics (283 citations) and Computer Vision and Pattern Recognition (163 citations). Danil Kirsanov has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Steven J. Gortler, Tatiana Surazhsky, Hugues Hoppe, Vitaly Surazhsky, Dale Becker, Matteo Cocchini and Steven G. Pytel. Their work appears in journals such as ACM Transactions on Graphics, European Heart Journal Acute Cardiovascular Care and IMAPSource Proceedings.
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.