Igor Santesteban
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Polymers and Plastics
- Co-authors
- Dan CasasMiguel Á. OtaduyElena GarcésNils ThuereyNikolaos SarafianosYaser SheikhHongdong LiJunxuan Li
- Topics
- 3D Shape Modeling and Analysis (7 papers)Computer Graphics and Visualization Techniques (5 papers)Human Motion and Animation (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- Computer Graphics Forum2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Igor Santesteban
7 papers receiving 299 citations
Peers
Comparison fields: 5 of 29
- Computational Mechanics 265
- Computer Graphics and Computer-Aided Design 194
- Computer Vision and Pattern Recognition 150
- Control and Systems Engineering 79
- Polymers and Plastics 24
Countries citing papers authored by Igor Santesteban
This map shows the geographic impact of Igor Santesteban'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 Igor Santesteban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Santesteban more than expected).
Fields of papers citing papers by Igor Santesteban
This network shows the impact of papers produced by Igor Santesteban. 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 Igor Santesteban. The network helps show where Igor Santesteban may publish in the future.
Co-authorship network of co-authors of Igor Santesteban
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Santesteban. A scholar is included among the top collaborators of Igor Santesteban 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 Igor Santesteban. Igor Santesteban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 58 | |
| 5 | 66 | |
| 6 | 47 | |
| 7 | 30 | |
| 8 | 103 |
About Igor Santesteban
Igor Santesteban is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Human-Computer Interaction, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (5 papers) and Human Motion and Animation (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (194 citations), Computational Mechanics (265 citations) and Computer Vision and Pattern Recognition (150 citations). Igor Santesteban has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Dan Casas, Miguel Á. Otaduy, Elena Garcés, Nils Thuerey, Nikolaos Sarafianos, Yaser Sheikh, Hongdong Li, Junxuan Li, Rong Wang and Tomas Simon. Their work appears in journals such as Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.