Ignacio Garcia‐Dorado
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Environmental Engineering top 10%
- Geology top 5%
- Media Technology top 5%
- Co-authors
- Daniel G. AliagaBedřich BenešAdrien BousseauCarlos A. VanegasPaul WaddellPeyman MilanfarDamien P. KellyMarc Levoy
- Topics
- Computer Graphics and Visualization Techniques (7 papers)Advanced Vision and Imaging (4 papers)Image and Signal Denoising Methods (3 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Ignacio Garcia‐Dorado
14 papers receiving 492 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 314
- Computer Graphics and Computer-Aided Design 117
- Environmental Engineering 100
- Geology 94
- Media Technology 89
Countries citing papers authored by Ignacio Garcia‐Dorado
This map shows the geographic impact of Ignacio Garcia‐Dorado'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 Ignacio Garcia‐Dorado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Garcia‐Dorado more than expected).
Fields of papers citing papers by Ignacio Garcia‐Dorado
This network shows the impact of papers produced by Ignacio Garcia‐Dorado. 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 Ignacio Garcia‐Dorado. The network helps show where Ignacio Garcia‐Dorado may publish in the future.
Co-authorship network of co-authors of Ignacio Garcia‐Dorado
This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Garcia‐Dorado. A scholar is included among the top collaborators of Ignacio Garcia‐Dorado 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 Ignacio Garcia‐Dorado. Ignacio Garcia‐Dorado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 128 | |
| 3 | 16 | |
| 4 | BLADE: Filter Learning for General Purpose Image Processing | 1 |
| 5 | 19 | |
| 6 | 19 | |
| 7 | 116 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 100 | |
| 14 | 12 |
About Ignacio Garcia‐Dorado
Ignacio Garcia‐Dorado is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 14 papers that have together received 511 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Geology (94 citations) and Computer Vision and Pattern Recognition (314 citations). Ignacio Garcia‐Dorado has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Daniel G. Aliaga, Bedřich Beneš, Adrien Bousseau, Carlos A. Vanegas, Paul Waddell, Peyman Milanfar, Damien P. Kelly, Marc Levoy, Manfred Ernst and Michael Krainin. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computers & Graphics.
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.