Diego Renza
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Atmospheric Science
- Co-authors
- Dora M. BallesterosEstíbaliz MartínezAgueda ArqueroGonzalo R. ArceÍñigo MolinaErnesto Moya-AlborJorge BrievaAlejandro Sandoval
- Topics
- Digital Media Forensic Detection (18 papers)Advanced Steganography and Watermarking Techniques (14 papers)Chaos-based Image/Signal Encryption (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsApplied Soft Computing
In The Last Decade
Diego Renza
42 papers receiving 427 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 296
- Artificial Intelligence 102
- Media Technology 101
- Signal Processing 77
- Atmospheric Science 34
Countries citing papers authored by Diego Renza
This map shows the geographic impact of Diego Renza'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 Renza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Renza more than expected).
Fields of papers citing papers by Diego Renza
This network shows the impact of papers produced by Diego Renza. 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 Renza. The network helps show where Diego Renza may publish in the future.
Co-authorship network of co-authors of Diego Renza
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Renza. A scholar is included among the top collaborators of Diego Renza 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 Renza. Diego Renza 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 | 8 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 49 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | Gray-scale Images within Color Images using Similarity Histogram-Based Selection and Replacement Algorithm. | 6 |
About Diego Renza
Diego Renza is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 44 papers that have together received 458 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (18 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Chaos-based Image/Signal Encryption (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (296 citations), Media Technology (101 citations) and Signal Processing (77 citations). Diego Renza has collaborated with scholars based in Colombia, Spain and Mexico. Frequent co-authors include Dora M. Ballesteros, Estíbaliz Martínez, Agueda Arquero, Gonzalo R. Arce, Íñigo Molina, Ernesto Moya-Albor, Jorge Brieva, Alejandro Sandoval and Elvira Martínez. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.
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.