Armando Barreto‐Muñoz
- Ecology top 10%
- Global and Planetary Change top 10%
- Water Science and Technology top 10%
- Environmental Engineering
- Atmospheric Science
- Co-authors
- Kamel DidanPamela L. NaglerChristopher J. JarchowEdward P. GlennD. DragoniAbdullah F. RahmanSattar Chavoshi BorujeniHamideh Nouri
- Topics
- Remote Sensing in Agriculture (11 papers)Plant Water Relations and Carbon Dynamics (11 papers)Hydrology and Watershed Management Studies (6 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Armando Barreto‐Muñoz
17 papers receiving 329 citations
Peers
Comparison fields: 5 of 47
- Ecology 215
- Global and Planetary Change 213
- Water Science and Technology 85
- Environmental Engineering 60
- Atmospheric Science 39
Countries citing papers authored by Armando Barreto‐Muñoz
This map shows the geographic impact of Armando Barreto‐Muñoz'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 Armando Barreto‐Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Barreto‐Muñoz more than expected).
Fields of papers citing papers by Armando Barreto‐Muñoz
This network shows the impact of papers produced by Armando Barreto‐Muñoz. 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 Armando Barreto‐Muñoz. The network helps show where Armando Barreto‐Muñoz may publish in the future.
Co-authorship network of co-authors of Armando Barreto‐Muñoz
This figure shows the co-authorship network connecting the top 25 collaborators of Armando Barreto‐Muñoz. A scholar is included among the top collaborators of Armando Barreto‐Muñoz 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 Armando Barreto‐Muñoz. Armando Barreto‐Muñoz 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 | 9 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 36 | |
| 13 | 7 | |
| 14 | 51 | |
| 15 | 29 | |
| 16 | 35 | |
| 17 | A 30-Year Multi-Sensor Vegetation Index and Land Surface Phenology Data Record: Methods Challenges and Potentials | 1 |
| 18 | Multi-sensor vegetation index and land surface phenology earth science data records in support of global change studies: Data quality challenges and data explorer system | 8 |
| 19 | 77 |
About Armando Barreto‐Muñoz
Armando Barreto‐Muñoz is a scholar working on Ecological Modeling, Ecology and Global and Planetary Change, having authored 19 papers that have together received 336 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Hydrology and Watershed Management Studies (6 papers). The work is most often cited by research in Global and Planetary Change (213 citations), Ecology (215 citations) and Water Science and Technology (85 citations). Armando Barreto‐Muñoz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kamel Didan, Pamela L. Nagler, Christopher J. Jarchow, Edward P. Glenn, D. Dragoni, Abdullah F. Rahman, Sattar Chavoshi Borujeni, Hamideh Nouri, Stefanie Herrmann and Michael A. Crimmins. Their work appears in journals such as Remote Sensing of Environment, Sensors and 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.