Valero Laparra
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Ecology top 5%
- Artificial Intelligence top 5%
- Environmental Engineering top 5%
- Co-authors
- Gustau Camps‐VallsJesús MaloJordi Muñoz-Marı́Johannes BalléEero P. SimoncelliLuis Gómez‐ChovaJosé Gómez‐DansJochem Verrelst
- Topics
- Remote-Sensing Image Classification (24 papers)Remote Sensing in Agriculture (17 papers)Advanced Image Fusion Techniques (10 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceRemote Sensing of Environment
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Valero Laparra
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 532
- Media Technology 360
- Ecology 336
- Artificial Intelligence 234
- Environmental Engineering 189
Countries citing papers authored by Valero Laparra
This map shows the geographic impact of Valero Laparra'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 Valero Laparra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valero Laparra more than expected).
Fields of papers citing papers by Valero Laparra
This network shows the impact of papers produced by Valero Laparra. 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 Valero Laparra. The network helps show where Valero Laparra may publish in the future.
Co-authorship network of co-authors of Valero Laparra
This figure shows the co-authorship network connecting the top 25 collaborators of Valero Laparra. A scholar is included among the top collaborators of Valero Laparra 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 Valero Laparra. Valero Laparra 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 23 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 184 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 65 | |
| 20 | 72 |
About Valero Laparra
Valero Laparra is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (24 papers), Remote Sensing in Agriculture (17 papers) and Advanced Image Fusion Techniques (10 papers). The work is most often cited by research in Media Technology (360 citations), Computer Vision and Pattern Recognition (532 citations) and Environmental Engineering (189 citations). Valero Laparra has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Gustau Camps‐Valls, Jesús Malo, Jordi Muñoz-Marı́, Johannes Ballé, Eero P. Simoncelli, Luis Gómez‐Chova, José Gómez‐Dans, Jochem Verrelst, Fernando Mateo and Gonzalo Mateo‐García. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.
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.