David Zabala‐Blanco
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- César A. Azurdia-MezaPablo Palacios JátivaIsmael SotoAli Dehghan FiroozabadiFabián SeguelMilton Román CañizaresMarco MoraSamuel Montejo‐Sánchez
- Topics
- Machine Learning and ELM (21 papers)Optical Wireless Communication Technologies (21 papers)Advanced Photonic Communication Systems (15 papers)
- Cited by
- Electrical and Electronic EngineeringSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
David Zabala‐Blanco
66 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 336
- Artificial Intelligence 78
- Computer Vision and Pattern Recognition 68
- Signal Processing 50
- Computer Networks and Communications 49
Countries citing papers authored by David Zabala‐Blanco
This map shows the geographic impact of David Zabala‐Blanco'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 David Zabala‐Blanco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Zabala‐Blanco more than expected).
Fields of papers citing papers by David Zabala‐Blanco
This network shows the impact of papers produced by David Zabala‐Blanco. 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 David Zabala‐Blanco. The network helps show where David Zabala‐Blanco may publish in the future.
Co-authorship network of co-authors of David Zabala‐Blanco
This figure shows the co-authorship network connecting the top 25 collaborators of David Zabala‐Blanco. A scholar is included among the top collaborators of David Zabala‐Blanco 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 David Zabala‐Blanco. David Zabala‐Blanco 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 | 0 | |
| 3 | 41 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 51 | |
| 19 | 2 | |
| 20 | 12 |
About David Zabala‐Blanco
David Zabala‐Blanco is a scholar working on Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 80 papers that have together received 500 indexed citations. Recurring topics across this work include Machine Learning and ELM (21 papers), Optical Wireless Communication Technologies (21 papers) and Advanced Photonic Communication Systems (15 papers). The work is most often cited by research in Electrical and Electronic Engineering (336 citations), Signal Processing (50 citations) and Computer Vision and Pattern Recognition (68 citations). David Zabala‐Blanco has collaborated with scholars based in Chile, Ecuador and Mexico. Frequent co-authors include César A. Azurdia-Meza, Pablo Palacios Játiva, Ismael Soto, Ali Dehghan Firoozabadi, Fabián Seguel, Milton Román Cañizares, Marco Mora, Samuel Montejo‐Sánchez, Carlos Gutiérrez and Ruber Hernández-García. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.