Francisco Argüello
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Atmospheric Science top 10%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Dora B. HerasEmilio L. ZapataJ.D. BrugueraMauro Dalla MuraRamón DoalloJón Atli BenediktssonD.L. VilariñoRichard J. Duro
- Topics
- Remote-Sensing Image Classification (36 papers)Remote Sensing and Land Use (19 papers)Digital Filter Design and Implementation (13 papers)
In The Last Decade
Francisco Argüello
76 papers receiving 818 citations
Peers
Comparison fields: 5 of 78
- Media Technology 437
- Computer Vision and Pattern Recognition 285
- Atmospheric Science 248
- Artificial Intelligence 150
- Signal Processing 117
Countries citing papers authored by Francisco Argüello
This map shows the geographic impact of Francisco Argüello'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 Francisco Argüello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Argüello more than expected).
Fields of papers citing papers by Francisco Argüello
This network shows the impact of papers produced by Francisco Argüello. 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 Francisco Argüello. The network helps show where Francisco Argüello may publish in the future.
Co-authorship network of co-authors of Francisco Argüello
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Argüello. A scholar is included among the top collaborators of Francisco Argüello 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 Francisco Argüello. Francisco Argüello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | LIGO/Virgo S190814bv: No neutrino candidates at Pierre Auger Observatory | 0 |
| 11 | 1 | |
| 12 | LIGO/Virgo S190425z: Pierre Auger Observatory follow-up. | 0 |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 4 |
About Francisco Argüello
Francisco Argüello is a scholar working on Media Technology, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 858 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (36 papers), Remote Sensing and Land Use (19 papers) and Digital Filter Design and Implementation (13 papers). The work is most often cited by research in Media Technology (437 citations), Computer Vision and Pattern Recognition (285 citations) and Atmospheric Science (248 citations). Francisco Argüello has collaborated with scholars based in Spain, Germany and Chile. Frequent co-authors include Dora B. Heras, Emilio L. Zapata, J.D. Bruguera, Mauro Dalla Mura, Ramón Doallo, Jón Atli Benediktsson, D.L. Vilariño, Richard J. Duro, Begüm Demir and Margarita Amor. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and International Journal of Remote Sensing.
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.