Vasco Mantas

1.1k citations
23 papers · 828 indexed · 1 hit paper · h-index 11
Topics
Remote Sensing in Agriculture (9 papers)Remote Sensing and LiDAR Applications (7 papers)Precipitation Measurement and Analysis (3 papers)

In The Last Decade

Vasco Mantas

20 papers receiving 804 citations

Hit Papers

Google Earth Engine Open-Source Code for Land Surface Tem...20202026202220242020100200300400

Peers

Vasco Mantas
Comparison fields: 5 of 86
  • Global and Planetary Change 410
  • Environmental Engineering 381
  • Atmospheric Science 278
  • Ecology 244
  • Health, Toxicology and Mutagenesis 112
Replace Shi Chen with:
Shi Chen China
Imán Rousta Iran
Zunyi Xie China
Natalya Panov Israel
Frank Göttsche Germany
Alijafar Mousivand Netherlands
Matt Paget Australia
Sofia L. Ermida Portugal
Zhaoning Gong China
Vasco Mantas relative to Shi Chen China Shi Chen's profile →
Citations per field
00.5×3.1×
Shi Chen · 1×
Citations per year

Countries citing papers authored by Vasco Mantas

Since Specialization
Citations

This map shows the geographic impact of Vasco Mantas'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 Vasco Mantas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasco Mantas more than expected).

Fields of papers citing papers by Vasco Mantas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasco Mantas. 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 Vasco Mantas. The network helps show where Vasco Mantas may publish in the future.

Co-authorship network of co-authors of Vasco Mantas

This figure shows the co-authorship network connecting the top 25 collaborators of Vasco Mantas. A scholar is included among the top collaborators of Vasco Mantas 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 Vasco Mantas. Vasco Mantas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 22
5 10
6 0
7 1
8 4
9
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Seriesbreakdown →
439
10 5
11 10
12
A Data Fusion Approach for the Production of Impervious Surface Area Estimates Using Sentinel-1 A and Landsat-8 Data
2
13 16
14 18
15 9
16 125
17 10
18 5
19 15
20 27

About Vasco Mantas

Vasco Mantas is a scholar working on Environmental Engineering, Ecological Modeling and Ecology, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Precipitation Measurement and Analysis (3 papers). The work is most often cited by research in Environmental Engineering (381 citations), Global and Planetary Change (410 citations) and Atmospheric Science (278 citations). Vasco Mantas has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Sofia L. Ermida, Frank Göttsche, Isabel F. Trigo, Alcides Pereira, Zhong Liu, N. Lewyckyj, Marian-Daniel Iordache, Klaas Pauly, João Carlos Marques and Paula V. Morais. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing and Ecological Indicators.

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.

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