R. P. D. Ferraz

690 total citations · 1 hit paper
20 papers, 428 citations indexed

About

R. P. D. Ferraz is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Ecology. According to data from OpenAlex, R. P. D. Ferraz has authored 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management, Monitoring, Policy and Law, 6 papers in Global and Planetary Change and 5 papers in Ecology. Recurrent topics in R. P. D. Ferraz's work include Remote Sensing in Agriculture (5 papers), Land Use and Ecosystem Services (5 papers) and Rural Development and Agriculture (4 papers). R. P. D. Ferraz is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Land Use and Ecosystem Services (5 papers) and Rural Development and Agriculture (4 papers). R. P. D. Ferraz collaborates with scholars based in Brazil, France and Netherlands. R. P. D. Ferraz's co-authors include Margareth Simões, Damien Arvor, Agnès Bégué, Valentine Lebourgeois, Beatriz Bellón, Julie Betbeder, Santiago R. Verón, Diego de Abelleyra, Camille Lelong and Simon Dufour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

R. P. D. Ferraz

18 papers receiving 421 citations

Hit Papers

Remote Sensing and Croppi... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. P. D. Ferraz Brazil 7 270 186 105 104 74 20 428
Beatriz Bellón France 7 321 1.2× 221 1.2× 118 1.1× 114 1.1× 86 1.2× 11 502
Hayat Lionboui Morocco 13 206 0.8× 204 1.1× 110 1.0× 145 1.4× 99 1.3× 25 436
Christopher Justice United States 8 209 0.8× 194 1.0× 59 0.6× 98 0.9× 77 1.0× 9 388
Isabelle Piccard Belgium 8 308 1.1× 145 0.8× 119 1.1× 155 1.5× 96 1.3× 16 439
Jai Singh Parihar India 13 223 0.8× 191 1.0× 89 0.8× 159 1.5× 115 1.6× 24 477
Margareth Simões Penello Meirelles Brazil 7 226 0.8× 159 0.9× 78 0.7× 120 1.2× 62 0.8× 22 370
Kim Knauer Germany 5 304 1.1× 204 1.1× 100 1.0× 110 1.1× 138 1.9× 9 445
Idriss Sermé Burkina Faso 9 208 0.8× 121 0.7× 133 1.3× 104 1.0× 63 0.9× 33 461
Hervé Kerdiles Italy 7 328 1.2× 265 1.4× 60 0.6× 102 1.0× 92 1.2× 20 503

Countries citing papers authored by R. P. D. Ferraz

Since Specialization
Citations

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

Fields of papers citing papers by R. P. D. Ferraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. P. D. Ferraz. 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 R. P. D. Ferraz. The network helps show where R. P. D. Ferraz may publish in the future.

Co-authorship network of co-authors of R. P. D. Ferraz

This figure shows the co-authorship network connecting the top 25 collaborators of R. P. D. Ferraz. A scholar is included among the top collaborators of R. P. D. Ferraz 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 R. P. D. Ferraz. R. P. D. Ferraz 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
2.
Simões, Margareth, R. P. D. Ferraz, Damien Arvor, et al.. (2022). Monitoring Complex Integrated Crop–Livestock Systems at Regional Scale in Brazil: A Big Earth Observation Data Approach. Remote Sensing. 14(7). 1648–1648. 11 indexed citations
3.
Filho, Braz Calderano, et al.. (2022). Caracterização dos solos do município de Miranda, estado do Mato Grosso do Sul. Brazilian Journal of Development. 8(9). 62563–62580. 1 indexed citations
4.
Bégué, Agnès, et al.. (2020). Assessing the optimal preprocessing steps of MODIS time series to map cropping systems in Mato Grosso, Brazil. International Journal of Applied Earth Observation and Geoinformation. 92. 102150–102150. 15 indexed citations
5.
Campanha, M. M., E. C. C. Fidalgo, L. M. Parron, et al.. (2019). Serviços ecossistêmicos: histórico e evolução.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations
6.
Ferraz, R. P. D., Rachel Bardy Prado, E. C. C. Fidalgo, et al.. (2019). Serviços ecossistêmicos: relações com a agricultura.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations
7.
Arvor, Damien, et al.. (2018). Monitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 225–237. 42 indexed citations
8.
Quijas, Sandra, Alice Boit, Kirsten Thonicke, et al.. (2018). Modelling carbon stock and carbon sequestration ecosystem services for policy design: a comprehensive approach using a dynamic vegetation model. Ecosystems and People. 15(1). 42–60. 13 indexed citations
9.
Bégué, Agnès, Damien Arvor, Beatriz Bellón, et al.. (2018). Remote Sensing and Cropping Practices: A Review. Remote Sensing. 10(1). 99–99. 312 indexed citations breakdown →
10.
Bellón, Beatriz, Agnès Bégué, Danny Lo Seen, et al.. (2018). Improved regional-scale Brazilian cropping systems’ mapping based on a semi-automatic object-based clustering approach. International Journal of Applied Earth Observation and Geoinformation. 68. 127–138. 12 indexed citations
11.
Oliveira, Stanley Robson de Medeiros, et al.. (2017). DEMOCRATIZAÇÃO DA INFORMAÇÃO DE SOLOS DO BRASIL: GEOPORTAL E BANCO DE DADOS DE SOLOS COM ACESSO VIA WEB. Cadernos de Ciência & Tecnologia. 32. 55–69. 1 indexed citations
12.
Ferraz, R. P. D., et al.. (2017). INTEGRIDADE ECOSSISTÊMICA A PARTIR DE DADOS DE SENSORIAMENTO REMOTO E REDES BAYESIANAS. Revista Brasileira de Cartografia. 69(3). 1 indexed citations
13.
Bégué, Agnès, et al.. (2015). Methodologies and technological innovations for low-carbon agriculture monitoring and planning for the ABC Plan governance support - Geo ABC.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
14.
Ferraz, R. P. D., et al.. (2015). Democratization of information on Brazilian soils: geoportal and soil database accessible via web.. 32. 55–69. 3 indexed citations
15.
Verweij, Peter, et al.. (2014). Linking Bayesian Belief Networks and GIS to assess the Ecosystem integrity in the Brazilian Amazon. Socio-Environmental Systems Modeling. 6 indexed citations
16.
Ferraz, R. P. D., et al.. (2013). Indicadores para a avaliação do processo de expansão da cultura canavieira no sul do estado de Goiás. SHILAP Revista de lepidopterología. 76–86. 1 indexed citations
17.
Motta, P. E. F. da, et al.. (2008). Zoneamento agroecológico do dendê nas áreas desmatadas da Amazônia Legal.. 4 indexed citations
18.
Ferraz, R. P. D., et al.. (2006). Avaliação de impacto ambiental: o caso do Projeto "Aeroporto Internacional do Rio de Janeiro - Tom Jobim": uma aplicação do método Ambitec - Agro.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations
19.
Fidalgo, E. C. C., et al.. (2005). Diagnóstico do meio físico das bacias hidrográficas do entorno da Mata do Carvão (BHMC), noroeste do Estado do Rio de Janeiro. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
20.
Benites, V. de M., et al.. (2004). Caracterização dos solos em duas toposseqüências sobre diferentes litologias em áreas altimontanas na Serra da Mantiqueira.. 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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