Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Remote Sensing and Cropping Practices: A Review
2018312 citationsAgnès Bégué, Damien Arvor et al.Remote Sensingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
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
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.