Diego Santa-Cruz
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Signal Processing top 5%
- Artificial Intelligence
- Topics
- Advanced Data Compression Techniques (6 papers)Image and Signal Denoising Methods (5 papers)Video Coding and Compression Technologies (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- Signal ProcessingSignal Processing Image CommunicationInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandEl SalvadorSweden
In The Last Decade
Diego Santa-Cruz
10 papers receiving 756 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 584
- Computational Mechanics 206
- Computer Graphics and Computer-Aided Design 192
- Signal Processing 164
- Artificial Intelligence 63
Countries citing papers authored by Diego Santa-Cruz
This map shows the geographic impact of Diego Santa-Cruz'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 Diego Santa-Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Santa-Cruz more than expected).
Fields of papers citing papers by Diego Santa-Cruz
This network shows the impact of papers produced by Diego Santa-Cruz. 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 Diego Santa-Cruz. The network helps show where Diego Santa-Cruz may publish in the future.
Co-authorship network of co-authors of Diego Santa-Cruz
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Santa-Cruz. A scholar is included among the top collaborators of Diego Santa-Cruz 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 Diego Santa-Cruz. Diego Santa-Cruz 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 | 6 | |
| 3 | Improved scalable MCTF video codec using a H.264/AVC base layer | 1 |
| 4 | MESH: measuring errors between surfaces using the Hausdorff distancebreakdown → | 501 |
| 5 | JJ2000: The JPEG 2000 Reference Implementation in Java | 1 |
| 6 | 91 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | A study of JPEG 2000 still image coding versus other standards | 43 |
| 10 | 86 | |
| 11 | 68 |
About Diego Santa-Cruz
Diego Santa-Cruz is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 828 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Video Coding and Compression Technologies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (192 citations), Computer Vision and Pattern Recognition (584 citations) and Signal Processing (164 citations). Diego Santa-Cruz has collaborated with scholars based in Switzerland, El Salvador and Sweden. Frequent co-authors include Touradj Ebrahimi, Nicolas Aspert, C. Christopoulos, J. Reichel and Stefano Tubaro. Their work appears in journals such as Signal Processing, Signal Processing Image Communication and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.