André Almagro

835 total citations
21 papers, 544 citations indexed

About

André Almagro is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, André Almagro has authored 21 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 15 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in André Almagro's work include Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (12 papers) and Soil erosion and sediment transport (5 papers). André Almagro is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (12 papers) and Soil erosion and sediment transport (5 papers). André Almagro collaborates with scholars based in Brazil, United States and Australia. André Almagro's co-authors include Paulo Tarso Sanches de Oliveira, Stefan Hagemann, M. A. Nearing, Dulce Buchala Bicca Rodrigues, José Marcato, Carlos A. Nobre, Rafael Rosolem, P. A. Troch, Tirthankar Roy and Luca Brocca and has published in prestigious journals such as Scientific Reports, Water Resources Research and Journal of Hydrology.

In The Last Decade

André Almagro

20 papers receiving 537 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
André Almagro Brazil 13 307 265 257 121 115 21 544
Qiuwen Zhou China 16 197 0.6× 234 0.9× 158 0.6× 114 0.9× 126 1.1× 41 563
Saleh Arekhi Iran 10 336 1.1× 215 0.8× 204 0.8× 149 1.2× 107 0.9× 27 512
Xiaojing Tian China 7 240 0.8× 158 0.6× 153 0.6× 64 0.5× 111 1.0× 10 361
Pengcheng Sun China 16 443 1.4× 401 1.5× 260 1.0× 145 1.2× 197 1.7× 26 725
Yuyang Wu China 9 223 0.7× 113 0.4× 245 1.0× 54 0.4× 138 1.2× 9 494
Richard Boothroyd United Kingdom 10 147 0.5× 241 0.9× 130 0.5× 104 0.9× 242 2.1× 25 446
Xinxiao Yu China 10 186 0.6× 180 0.7× 404 1.6× 92 0.8× 227 2.0× 19 579
Xinchi Wang China 11 125 0.4× 268 1.0× 164 0.6× 45 0.4× 122 1.1× 17 496
Jeffry J. Stone United States 13 220 0.7× 218 0.8× 247 1.0× 57 0.5× 252 2.2× 22 502
Wenyi Yao China 8 350 1.1× 249 0.9× 282 1.1× 76 0.6× 268 2.3× 19 533

Countries citing papers authored by André Almagro

Since Specialization
Citations

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

Fields of papers citing papers by André Almagro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Almagro

This figure shows the co-authorship network connecting the top 25 collaborators of André Almagro. A scholar is included among the top collaborators of André Almagro 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 André Almagro. André Almagro 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
1.
Lucas, Murilo Cesar, et al.. (2025). Uneven shifts in flood and drought flows in a Brazilian water supply catchment. Journal of Hydrology Regional Studies. 60. 102498–102498. 1 indexed citations
2.
Almagro, André, et al.. (2025). Improved Grunsky method for streamflow prediction in ungauged catchments. Hydrological Sciences Journal. 70(4). 535–545. 1 indexed citations
3.
Almagro, André, et al.. (2025). SSP‐CABra—Streamflow Scenarios Projections for Brazilian Catchments. Geoscience Data Journal. 12(4).
4.
Almagro, André, et al.. (2024). Modeling the Brazilian Cerrado land use change highlights the need to account for private property sizes for biodiversity conservation. Scientific Reports. 14(1). 4559–4559. 13 indexed citations
5.
Almagro, André, Antônio Alves Meira Neto, Noemi Vergopolan, et al.. (2024). The Drivers of Hydrologic Behavior in Brazil: Insights From a Catchment Classification. Water Resources Research. 60(8). 6 indexed citations
6.
Gesualdo, Gabriela Chiquito, et al.. (2023). CLIMBra - Climate Change Dataset for Brazil. Scientific Data. 10(1). 47–47. 35 indexed citations
7.
Almagro, André, et al.. (2023). Brazilian Water Security Threatened by Climate Change and Human Behavior. Water Resources Research. 59(7). 19 indexed citations
8.
Almagro, André, et al.. (2023). Streamflow prediction in ungauged catchments by using the Grunsky method. International Soil and Water Conservation Research. 11(4). 700–712. 5 indexed citations
9.
Gesualdo, Gabriela Chiquito, et al.. (2022). Are Brazilian catchments gaining or losing water? The effective area of tropical catchments. Hydrological Processes. 36(3). 10 indexed citations
10.
Oliveira, Paulo Tarso Sanches de, et al.. (2022). The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components. Water Resources Research. 58(10). 13 indexed citations
11.
Oliveira, Paulo Tarso Sanches de, et al.. (2022). Hydrological and Hydraulic Modeling Applied to Flash Flood Events in a Small Urban Stream. Hydrology. 9(12). 223–223. 14 indexed citations
12.
Almagro, André, Paulo Tarso Sanches de Oliveira, & Luca Brocca. (2021). Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments. Journal of Hydrology. 603. 126897–126897. 25 indexed citations
13.
Almagro, André, et al.. (2021). CABra: a novel large-sample dataset for Brazilian catchments. Hydrology and earth system sciences. 25(6). 3105–3135. 34 indexed citations
14.
Lucas, Murilo Cesar, Natalya Kublik, Dulce Buchala Bicca Rodrigues, et al.. (2020). Significant Baseflow Reduction in the Sao Francisco River Basin. Water. 13(1). 2–2. 31 indexed citations
15.
Oliveira, Paulo Tarso Sanches de, et al.. (2020). CABra: a novel large-scale dataset for Brazilian catchments. 1 indexed citations
16.
Almagro, André, Paulo Tarso Sanches de Oliveira, Rafael Rosolem, Stefan Hagemann, & Carlos A. Nobre. (2020). Performance evaluation of Eta/HadGEM2-ES and Eta/MIROC5 precipitation simulations over Brazil. Atmospheric Research. 244. 105053–105053. 51 indexed citations
17.
Oliveira, Paulo Tarso Sanches de, et al.. (2019). Effects of Climate and Land-Cover Changes on Soil Erosion in Brazilian Pantanal. Sustainability. 11(24). 7053–7053. 36 indexed citations
18.
Almagro, André, et al.. (2019). Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions. International Soil and Water Conservation Research. 7(4). 325–334. 111 indexed citations
19.
Rosolem, Rafael, André Almagro, Paulo Tarso Sanches de Oliveira, & Stefan Hagemann. (2018). Performance Evaluation of HadGEM2-ES and MIROC5 Downscaled Rainfall Simulations over Brazil. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
20.
Almagro, André, Paulo Tarso Sanches de Oliveira, M. A. Nearing, & Stefan Hagemann. (2017). Projected climate change impacts in rainfall erosivity over Brazil. Scientific Reports. 7(1). 8130–8130. 124 indexed citations

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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