Julia Z. Shimbo

2.8k total citations
20 papers, 607 citations indexed

About

Julia Z. Shimbo is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Julia Z. Shimbo has authored 20 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 10 papers in Ecology and 7 papers in Nature and Landscape Conservation. Recurrent topics in Julia Z. Shimbo's work include Remote Sensing in Agriculture (7 papers), Conservation, Biodiversity, and Resource Management (6 papers) and Land Use and Ecosystem Services (6 papers). Julia Z. Shimbo is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Conservation, Biodiversity, and Resource Management (6 papers) and Land Use and Ecosystem Services (6 papers). Julia Z. Shimbo collaborates with scholars based in Brazil, United States and Germany. Julia Z. Shimbo's co-authors include Mercedes Bustamante, Ane Alencar, Marcos Reis Rosa, Michael Palace, Valderli Jorge Piontekowski, Bárbara Zimbres, Mark J. Ducey, C Herrick, R. N. Treuhaft and Franklin B. Sullivan and has published in prestigious journals such as Nature Communications, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Julia Z. Shimbo

19 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Z. Shimbo Brazil 11 292 242 189 178 59 20 607
Matheus Henrique Nunes United Kingdom 16 310 1.1× 216 0.9× 303 1.6× 201 1.1× 47 0.8× 34 636
Geir‐Harald Strand Norway 14 292 1.0× 235 1.0× 158 0.8× 146 0.8× 36 0.6× 41 596
Grace Nangendo United Kingdom 11 261 0.9× 330 1.4× 180 1.0× 211 1.2× 49 0.8× 17 657
Deo D. Shirima Tanzania 14 349 1.2× 172 0.7× 296 1.6× 72 0.4× 45 0.8× 36 628
Rosana Cristina Grecchi Brazil 9 427 1.5× 329 1.4× 116 0.6× 120 0.7× 92 1.6× 14 757
Roman Seliger Italy 8 535 1.8× 365 1.5× 166 0.9× 144 0.8× 83 1.4× 13 978
Sérgio Godinho Portugal 15 365 1.3× 434 1.8× 193 1.0× 256 1.4× 50 0.8× 38 782
Bruno Marcos Portugal 15 329 1.1× 240 1.0× 163 0.9× 76 0.4× 25 0.4× 24 610
Anna Komarova United States 4 417 1.4× 281 1.2× 133 0.7× 82 0.5× 25 0.4× 11 659
Ivo Machar Czechia 18 329 1.1× 183 0.8× 263 1.4× 84 0.5× 48 0.8× 79 771

Countries citing papers authored by Julia Z. Shimbo

Since Specialization
Citations

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

Fields of papers citing papers by Julia Z. Shimbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Z. Shimbo. 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 Julia Z. Shimbo. The network helps show where Julia Z. Shimbo may publish in the future.

Co-authorship network of co-authors of Julia Z. Shimbo

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Z. Shimbo. A scholar is included among the top collaborators of Julia Z. Shimbo 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 Julia Z. Shimbo. Julia Z. Shimbo 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.
Franco, Marco A., Luciana V. Rizzo, Tasso Azevedo, et al.. (2025). How climate change and deforestation interact in the transformation of the Amazon rainforest. Nature Communications. 16(1). 7944–7944.
2.
Machado, Luiz A. T., Paulo Artaxo, Alan J. P. Calheiros, et al.. (2025). Analyzing and forecasting the morphology of Amazon deforestation. Forest Ecology and Management. 586. 122662–122662. 3 indexed citations
3.
Alencar, Ane, et al.. (2024). Assessing four decades of fire behavior dynamics in the Cerrado biome (1985 to 2022). Fire Ecology. 20(1). 12 indexed citations
4.
Zimbres, Bárbara, et al.. (2024). Improving estimations of GHG emissions and removals from land use change and forests in Brazil. Environmental Research Letters. 19(9). 94024–94024. 3 indexed citations
5.
Gomes, Letí­cia, Ane Alencar, Bárbara Zimbres, et al.. (2024). Impacts of Fire Frequency on Net CO2 Emissions in the Cerrado Savanna Vegetation. Fire. 7(8). 280–280. 3 indexed citations
6.
Heinrich, Viola, Joanna I. House, David A. Gibbs, et al.. (2023). Mind the gap: reconciling tropical forest carbon flux estimates from earth observation and national reporting requires transparency. Carbon Balance and Management. 18(1). 22–22. 5 indexed citations
7.
Macedo, Márcia N., Divino Vicente Silvério, Leandro Maracahipes, et al.. (2022). Cerrado deforestation threatens regional climate and water availability for agriculture and ecosystems. Global Change Biology. 28(22). 6807–6822. 70 indexed citations
8.
Alencar, Ane, Diego Pereira Costa, Washington Franca-Rocha, et al.. (2022). Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning. Remote Sensing. 14(11). 2510–2510. 70 indexed citations
9.
Shimbo, Julia Z., et al.. (2022). Unmasking the impunity of illegal deforestation in the Brazilian Amazon: a call for enforcement and accountability. Environmental Research Letters. 17(4). 41001–41001. 27 indexed citations
10.
Novaes, Renan Milagres Lage, et al.. (2022). Land-use change CO2 emissions associated with agricultural products at municipal level in Brazil. Journal of Cleaner Production. 364. 132549–132549. 43 indexed citations
11.
Alencar, Ane, Julia Z. Shimbo, Felipe Lenti, et al.. (2020). Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform. Remote Sensing. 12(6). 924–924. 166 indexed citations
12.
Bispo, Polyanna da Conceição, Pedro Rodríguez‐Veiga, Bárbara Zimbres, et al.. (2020). Estimating the Above Ground Biomass of Brazilian Savanna using multi-sensor approach. Research Explorer (The University of Manchester). 1 indexed citations
13.
Zimbres, Bárbara, Julia Z. Shimbo, Mercedes Bustamante, et al.. (2019). Savanna vegetation structure in the Brazilian Cerrado allows for the accurate estimation of aboveground biomass using terrestrial laser scanning. Forest Ecology and Management. 458. 117798–117798. 31 indexed citations
14.
Azevedo, Tasso, Carlos Souza, Julia Z. Shimbo, & Ane Alencar. (2018). MapBiomas initiative: Mapping annual land cover and land use changes in Brazil from 1985 to 2017.. AGUFM. 2018. 8 indexed citations
15.
Roitman, Iris, Mercedes Bustamante, Ricardo Flores Haidar, et al.. (2018). Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences. PLoS ONE. 13(8). e0196742–e0196742. 44 indexed citations
16.
17.
Bustamante, Mercedes, Cláudio Almeida, Carlos A. Nobre, et al.. (2017). Are Brazil deforesters avoiding detection? Reply to Richards et al . 2016. Conservation Letters. 10(4). 493–494. 4 indexed citations
18.
Coe, Michael T., Divino Vicente Silvério, Mercedes Bustamante, et al.. (2016). Feedbacks between land cover and climate changes in the Brazilian Amazon and Cerrado biomes. AGUFM. 2016. 1 indexed citations
19.
Palace, Michael, Franklin B. Sullivan, Mark J. Ducey, et al.. (2015). Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data. Remote Sensing of Environment. 161. 1–11. 82 indexed citations
20.
Frolking, Steve, Stephen Hagen, Tom Milliman, et al.. (2012). Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000–2009 With the SeaWinds Ku-Band Scatterometer. IEEE Transactions on Geoscience and Remote Sensing. 50(7). 2603–2617. 18 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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