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.
The Impact of Agricultural Soil Erosion on the Global Carbon Cycle
2007781 citationsJosé Marques da Silva et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by José Marques da Silva
Since
Specialization
Citations
This map shows the geographic impact of José Marques da Silva'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 José Marques da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Marques da Silva more than expected).
Fields of papers citing papers by José Marques da Silva
This network shows the impact of papers produced by José Marques da Silva. 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 José Marques da Silva. The network helps show where José Marques da Silva may publish in the future.
Co-authorship network of co-authors of José Marques da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of José Marques da Silva.
A scholar is included among the top collaborators of José Marques da Silva 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 José Marques da Silva. José Marques da Silva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sousa, Adélia, et al.. (2010). Segmentação e classificação de tipologias florestais a partir de imagens QUICKBIRD / Segmentation and classification of forest types with QUICKBIRD images. SHILAP Revista de lepidopterología.2 indexed citations
13.
Silva, Luís Leopoldo, et al.. (2010). No-till and basin tillage for reducing runoff and sediment yield on centre-pivot irrigated maize in a Mediterranean soil.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).3 indexed citations
14.
Silva, José Marques da, Luís Leopoldo Silva, & Rubens Duarte Coelho. (2008). Distance to flow accumulation lines (DFL) and its relationship with other yield-affecting factors.1 indexed citations
15.
Catto, João Batista, et al.. (2008). Suplementação protéico-energética para vacas de corte sob pastejo na sub-região da Nhecolândia, Pantanal Sul Mato-Grossense. Revista Brasileira de Saúde e Produção Animal. 9(2).1 indexed citations
Silva, José Marques da, et al.. (2001). Spatial variability of soil quality indicators, a consequence of soil erosion.. 59–62.2 indexed citations
18.
Silva, José Marques da, et al.. (1985). Suplementação mineral de novilhos de corte em pastagens adubadas de capim-colonião. Pesquisa Agropecuária Brasileira. 20(2). 259–269.6 indexed citations
19.
Silva, José Marques da, et al.. (1984). Engorda de novilhos em confinamento utilizando subprodutos de microdestilarias de álcool. Pesquisa Agropecuária Brasileira. 19(5). 657–663.1 indexed citations
20.
Silva, José Marques da, et al.. (1982). Avaliação econômica de alternativas de suplementação mineral de novilhos em pastagem de colonião adubada. Pesquisa Agropecuária Brasileira. 17(7). 1083–1088.1 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.