Miguel Saínz
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Renato PajarolaSimon GreenLouis BavoilJosep Vehı́Joaquim ArmengolCyril CrassinElmar EisemannFabrice Neyret
- Topics
- Computer Graphics and Visualization Techniques (23 papers)Advanced Vision and Imaging (21 papers)Numerical Methods and Algorithms (14 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Fuzzy SystemsLecture notes in mathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Miguel Saínz
54 papers receiving 899 citations
Peers
Comparison fields: 5 of 74
- Computer Graphics and Computer-Aided Design 515
- Computer Vision and Pattern Recognition 457
- Computational Mechanics 321
- Control and Systems Engineering 172
- Artificial Intelligence 109
Countries citing papers authored by Miguel Saínz
This map shows the geographic impact of Miguel Saínz'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 Miguel Saínz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Saínz more than expected).
Fields of papers citing papers by Miguel Saínz
This network shows the impact of papers produced by Miguel Saínz. 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 Miguel Saínz. The network helps show where Miguel Saínz may publish in the future.
Co-authorship network of co-authors of Miguel Saínz
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Saínz. A scholar is included among the top collaborators of Miguel Saínz 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 Miguel Saínz. Miguel Saínz 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 | 2 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | Interactive Indirect Illumination Using Voxel Cone Tracing: A Preview | 1 |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | 35 | |
| 15 | 16 | |
| 16 | 74 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 42 | |
| 20 | 9 |
About Miguel Saínz
Miguel Saínz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 56 papers that have together received 965 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (21 papers) and Numerical Methods and Algorithms (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (515 citations), Computer Vision and Pattern Recognition (457 citations) and Computational Mechanics (321 citations). Miguel Saínz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Renato Pajarola, Simon Green, Louis Bavoil, Josep Vehı́, Joaquim Armengol, Cyril Crassin, Elmar Eisemann, Fabrice Neyret, Pau Herrero and Antonio Susín. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Lecture notes in mathematics and Journal of Mathematical Analysis and Applications.
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.