C. Sanz
Impact in
- Signal Processing top 5%
- Video Coding and Compression Technologies
- Digital Filter Design and Implementation
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- Advanced Data Compression Techniques
- Advanced Vision and Imaging
Papers in
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- Advanced Data Compression Techniques 23
- Advanced Vision and Imaging 12
- Image and Video Quality Assessment 9
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- Video Coding and Compression Technologies 32
- Co-authors
- Eduardo Juárez (59 shared papers)M.J. Garrido (23 shared papers)Fernando Pescador (21 shared papers)Miguel Chavarrías (22 shared papers)Daniel Madroñal (16 shared papers)Raquel Lazcano (14 shared papers)Rubén Salvador (15 shared papers)Himar Fabelo (13 shared papers)
In The Last Decade
C. Sanz
72 papers receiving 572 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 241
- Computer Vision and Pattern Recognition 303
- Hardware and Architecture 90
- Media Technology 93
- Biophysics 55
Countries citing papers authored by C. Sanz
This map shows the geographic impact of C. Sanz'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 C. Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Sanz more than expected).
Fields of papers citing papers by C. Sanz
This network shows the impact of papers produced by C. Sanz. 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 C. Sanz. The network helps show where C. Sanz may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Sanz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 33 | |
| 4 | 2013 | 33 | |
| 5 | 2018 | 32 | |
| 6 | 2017 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2017 | 26 | |
| 9 | 2006 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2009 | 17 | |
| 12 | 2008 | 14 | |
| 13 | 2002 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2020 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2003 | 8 |
About C. Sanz
C. Sanz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Hardware and Architecture and Electrical and Electronic Engineering, having authored 77 papers that have together received 596 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (32 papers), Advanced Data Compression Techniques (23 papers), Remote-Sensing Image Classification (20 papers), Embedded Systems Design Techniques (17 papers), Advanced Vision and Imaging (12 papers), Multimedia Communication and Technology (9 papers), Image and Video Quality Assessment (9 papers) and Optical Imaging and Spectroscopy Techniques (8 papers). The work is most often cited by research in Signal Processing (241 citations), Computer Vision and Pattern Recognition (303 citations), Hardware and Architecture (90 citations), Media Technology (93 citations) and Biophysics (55 citations). C. Sanz has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Eduardo Juárez, M.J. Garrido, Fernando Pescador, Miguel Chavarrías, Daniel Madroñal, Raquel Lazcano, Rubén Salvador, Himar Fabelo, Samuel Ortega and Gustavo M. Callicó. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Journal of Systems Architecture, Sensors, International Journal of Computer Assisted Radiology and Surgery and IEEE Access.
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.