Alexandre Rosa dos Santos

2.9k total citations
145 papers, 1.5k citations indexed

About

Alexandre Rosa dos Santos is a scholar working on Ecology, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Alexandre Rosa dos Santos has authored 145 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ecology, 47 papers in Water Science and Technology and 41 papers in Global and Planetary Change. Recurrent topics in Alexandre Rosa dos Santos's work include Geography and Environmental Studies (38 papers), Environmental and biological studies (26 papers) and Agricultural and Food Sciences (22 papers). Alexandre Rosa dos Santos is often cited by papers focused on Geography and Environmental Studies (38 papers), Environmental and biological studies (26 papers) and Agricultural and Food Sciences (22 papers). Alexandre Rosa dos Santos collaborates with scholars based in Brazil, United States and Spain. Alexandre Rosa dos Santos's co-authors include Fernando Coelho Eugênio, Carlos Antônio Álvares Soares Ribeiro, Aderbal Gomes da Silva, Gustavo Eduardo Marcatti, Áureo Banhos, Nilton César Fiedler, Nero Lemos Martins de Castro, Samuel Ferreira da Silva, Alexandre Simões Lorenzon and Greiciane Gaburro Paneto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Alexandre Rosa dos Santos

133 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Rosa dos Santos Brazil 20 690 462 266 246 217 145 1.5k
Tyler J. Lark United States 17 880 1.3× 712 1.5× 198 0.7× 131 0.5× 199 0.9× 39 1.9k
S. Spawn United States 16 876 1.3× 607 1.3× 157 0.6× 158 0.6× 101 0.5× 30 1.7k
Graham von Maltitz South Africa 23 673 1.0× 407 0.9× 252 0.9× 264 1.1× 48 0.2× 67 1.7k
Santiago R. Verón Argentina 23 829 1.2× 839 1.8× 305 1.1× 217 0.9× 117 0.5× 52 1.9k
Ritvik Sahajpal United States 17 622 0.9× 345 0.7× 98 0.4× 63 0.3× 146 0.7× 43 1.5k
Zhihua Liu China 29 1.7k 2.5× 709 1.5× 350 1.3× 277 1.1× 106 0.5× 111 2.9k
Dries Landuyt Belgium 23 841 1.2× 363 0.8× 581 2.2× 125 0.5× 175 0.8× 54 1.7k
Koenraad Van Meerbeek Belgium 24 651 0.9× 421 0.9× 489 1.8× 58 0.2× 78 0.4× 68 1.6k
Sandro Federici Italy 18 1.2k 1.8× 601 1.3× 345 1.3× 87 0.4× 54 0.2× 36 2.0k

Countries citing papers authored by Alexandre Rosa dos Santos

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Rosa dos Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre Rosa dos Santos. 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 Alexandre Rosa dos Santos. The network helps show where Alexandre Rosa dos Santos may publish in the future.

Co-authorship network of co-authors of Alexandre Rosa dos Santos

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Rosa dos Santos. A scholar is included among the top collaborators of Alexandre Rosa dos Santos 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 Alexandre Rosa dos Santos. Alexandre Rosa dos Santos 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.
Cayo-Colca, Ilse S., et al.. (2025). Modeling of Forest Fire Risk Areas of Amazonas Department, Peru: Comparative Evaluation of Three Machine Learning Methods. Forests. 16(2). 273–273. 2 indexed citations
2.
Amaral, José Francisco Teixeira do, et al.. (2023). Tropical grasses adaptability as a sustainable tool for recovering degraded pastures and restricting soil loss: Use diagnosis and future scenarios. Environmental Development. 47. 100887–100887. 1 indexed citations
3.
4.
Eugênio, Fernando Coelho, et al.. (2023). Modeling and detection of invasive trees using UAV image and machine learning in a subtropical forest in Brazil. Ecological Informatics. 74. 101989–101989. 25 indexed citations
5.
Juvanhol, Ronie Silva, et al.. (2023). Use of machine learning as a tool for determining fire management units in the brazilian atlantic forest. Anais da Academia Brasileira de Ciências. 95(2). e20201039–e20201039. 2 indexed citations
6.
Ferreira, Adésio, João Paulo Bestete de Oliveira, Edílson Romais Schmildt, et al.. (2023). Functional Fruit Trees from the Atlantic and Amazon Forests: Selection of Potential Chestnut Trees Rich in Antioxidants, Nutrients, and Fatty Acids. Foods. 12(24). 4422–4422. 3 indexed citations
7.
Santos, Alexandre Rosa dos, et al.. (2023). Molecular Species Delimitation Using COI Barcodes of Mealybugs (Hemiptera: Pseudococcidae) from Coffee Plants in Espírito Santo, Brazil. Diversity. 15(2). 305–305. 6 indexed citations
8.
Pereira, Alexandre C., Emanuelle Marques, Carla Luana Dinardo, et al.. (2022). Genetic risk factors and COVID-19 severity in Brazil: results from BRACOVID study. Human Molecular Genetics. 31(18). 3021–3031. 12 indexed citations
9.
Paneto, Greiciane Gaburro, et al.. (2021). Diversity and Abundance of Roadkilled Bats in the Brazilian Atlantic Forest. Diversity. 13(7). 335–335. 7 indexed citations
10.
Lugon, Magda Delorence, et al.. (2020). Using high-resolution melting to identify Calliphoridae (blowflies) species from Brazil. PeerJ. 8. e9680–e9680. 5 indexed citations
11.
12.
Costa, Flaviane Malaquias, et al.. (2018). Production of seedlings of yellow passion fruit in different compositions of substrate and environment.. 41(1). 138–146. 1 indexed citations
13.
Martins, Lima Deleon, Fernando Coelho Eugênio, Wagner Nunes Rodrigues, et al.. (2018). Carbon and water footprints in Brazilian coffee plantations - the spatial and temporal distribution. Emirates Journal of Food and Agriculture. 30(6). 482–487. 15 indexed citations
14.
Marcatti, Gustavo Eduardo, Rafael Tassinari Resende, Marcos Deon Vilela de Resende, et al.. (2017). GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes. Forest Ecology and Management. 392. 144–153. 33 indexed citations
15.
Santos, Alexandre Rosa dos, et al.. (2016). Impact of climate change on agro-climatic zoning of Arabica coffee in the State of Espirito Santo, Brazil.. Revista Agro mbiente On-line. 10(1). 77–82. 1 indexed citations
16.
17.
Eugênio, Fernando Coelho, et al.. (2014). Zoneamento agroclimático do Coffea canephorea para o Espírito Santo mediante interpolação espacial. Coffee Science. 9(3). 319–328. 3 indexed citations
18.
Santos, Alexandre Rosa dos, et al.. (2013). Análise temporal da dinâmica florestal em área de reflorestamento por meio de índices de vegetação. REVISTA GEOGRÁFICA VENEZOLANA. 54(2). 225–239. 1 indexed citations
19.
Silva, Samuel Ferreira da, et al.. (2012). Potential wildlife corridors in the Horizonte stream subwatershed, Alegre, Espírito Santo, Brazil, listed by GIS.. 7(1). 133–141. 4 indexed citations
20.
Santos, Alexandre Rosa dos, et al.. (2011). IDENTIFICAÇÃO DOS IMPACTOS AMBIENTAIS RELACIONADOS À PAVIMENTAÇÃO DA RODOVIA MG 307 NO MUNICÍPIO DE GRÃO MOGOL - MG. SHILAP Revista de lepidopterología. 2 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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