Mayesse Da Silva

711 total citations
27 papers, 312 citations indexed

About

Mayesse Da Silva is a scholar working on Soil Science, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Mayesse Da Silva has authored 27 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Soil Science, 9 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in Mayesse Da Silva's work include Soil erosion and sediment transport (10 papers), Soil Geostatistics and Mapping (8 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Mayesse Da Silva is often cited by papers focused on Soil erosion and sediment transport (10 papers), Soil Geostatistics and Mapping (8 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Mayesse Da Silva collaborates with scholars based in Colombia, Brazil and United States. Mayesse Da Silva's co-authors include Marx Leandro Naves Silva, Nilton Curi, Junior César Avanzi, Fernando Palha Leite, Lulseged Tamene, Rolf Sommer, Sylvia S. Nyawira, Glenn Hyman, Wuletawu Abera and Assefa Abegaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Mayesse Da Silva

24 papers receiving 303 citations

Peers

Mayesse Da Silva

WST

ECOLO

GPC

Jianjun Li China

Jan Vopravil Czechia

Nicholas Kyei‐Baffour Ghana

Orestis Kairis Greece

Ayan Mondal India

Yunxing Bai China

Jian Hou China

Philippe Quétin France

J. L. Daigle Canada

Paul Newell‐Price United Kingdom

Jianjun Li China

Mayesse Da Silva

202 ×1.3

71 ×0.9

WST

110 ×1.4

ECOLO

80 ×1.2

GPC

26 ×0.4

Citations per year, relative to Mayesse Da Silva Mayesse Da Silva (= 1×) peers Jianjun Li

Countries citing papers authored by Mayesse Da Silva

Since Specialization

Citations

This map shows the geographic impact of Mayesse 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 Mayesse 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 Mayesse Da Silva more than expected).

Fields of papers citing papers by Mayesse Da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayesse 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 Mayesse Da Silva. The network helps show where Mayesse Da Silva may publish in the future.

Co-authorship network of co-authors of Mayesse Da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Mayesse Da Silva. A scholar is included among the top collaborators of Mayesse 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 Mayesse Da Silva. Mayesse Da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Costa, Ciniro, Mayesse Da Silva, Ngonidzashe Chirinda, et al.. (2024). Soil organic carbon increase on conversion of native savanna to improved pasture in two regions of Colombia. SHILAP Revista de lepidopterología. 3(4). 318–330.

Atkinson, Rachel, et al.. (2024). Using optimized monochromatic energy dispersive X-ray fluorescence to determine the cadmium concentration in cacao and soil samples. Heliyon. 10(20). e39034–e39034. 4 indexed citations

Silva, Mayesse Da, et al.. (2024). Laser-induced graphene electrochemical sensor for quantitative detection of phytotoxic aluminum ions (Al3+) in soils extracts. Scientific Reports. 14(1). 5772–5772. 14 indexed citations

Verchot, Louis, et al.. (2023). Modeling the Spatial Distribution of Soil Organic Carbon and Carbon Stocks in the Casanare Flooded Savannas of the Colombian Llanos. Wetlands. 43(6). 7 indexed citations

Silva, Mayesse Da, et al.. (2021). Approximating Soil Organic Carbon Stock in the Eastern Plains of Colombia. Frontiers in Environmental Science. 9. 8 indexed citations

Silva, Mayesse Da, et al.. (2020). “Rambo root” to the rescue: How a simple, low‐cost solution can lead to multiple sustainable development gains. Conservation Science and Practice. 3(2). 2 indexed citations

Quintero, Marcela, et al.. (2019). Estado y perspectivas de los recursos naturales y los ecosistemas en América Latina y el Caribe (ALC). CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations

Guzmán, Christian D., et al.. (2019). Variability of soil surface characteristics in a mountainous watershed in Valle del Cauca, Colombia: Implications for runoff, erosion, and conservation. Journal of Hydrology. 576. 273–286. 18 indexed citations

Piikki, Kristin, et al.. (2019). A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement. Sustainability. 11(15). 4038–4038. 2 indexed citations

10.

Silva, Mayesse Da, et al.. (2016). Predicting Runoff Risks by Digital Soil Mapping. Revista Brasileira de Ciência do Solo. 40(0). 6 indexed citations

11.

Silva, Mayesse Da, et al.. (2014). Water erosion risk prediction in eucalyptus plantations. Ciência e Agrotecnologia. 38(2). 160–172. 18 indexed citations

12.

Silva, Marx Leandro Naves, et al.. (2014). Variabilidade de atributos do solo sob pastagens e mata atlântica na escala de microbacia hidrográfica. Revista Brasileira de Engenharia Agrícola e Ambiental. 18(5). 517–526. 9 indexed citations

13.

Silva, Marx Leandro Naves, et al.. (2013). ESTIMATIVA DO POTENCIAL DE RECARGA NA SUB-BACIA DAS POSSES, EXTREMA (MG), EM FUNÇÃO DOS ATRIBUTOS FISIOGRÁFICOS, PEDOLÓGICOS E TOPOGRÁFICOS. Geociências (São Paulo). 32(1). 51–62. 1 indexed citations

14.

Silva, Marx Leandro Naves, et al.. (2013). Evaluation of vegetation cover using the normalized difference vegetation index (NDVI). Ambiente e Agua - An Interdisciplinary Journal of Applied Science. 8(2). 11 indexed citations

15.

Silva, Marx Leandro Naves, et al.. (2012). Consistência hidrológica de modelos digitais de elevação (MDE) para definição da rede de drenagem na sub-bacia do horto florestal Terra Dura, Eldorado do Sul, RS. Revista Brasileira de Ciência do Solo. 36(4). 1259–1268. 5 indexed citations

16.

Silva, Marx Leandro Naves, et al.. (2011). INFLUÊNCIA ANTRÓPICA E ATRIBUTOS DE SOLO: INTER-RELAÇÕES EM AMBIENTES DE VOÇOROCAS NA MESORREGIÃO CAMPOS DAS VERTENTES, MG. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 36(1). 209–219. 4 indexed citations

17.

Avanzi, Junior César, et al.. (2011). Aggregate stability in soils cultivated with eucalyptus. Pesquisa Agropecuária Brasileira. 46(1). 89–96. 7 indexed citations

18.

Silva, Mayesse Da, Marx Leandro Naves Silva, Nilton Curi, et al.. (2010). Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, região centro-leste do Estado de Minas Gerais. Revista Brasileira de Ciência do Solo. 34(4). 1029–1039. 27 indexed citations

19.

Silva, Marx Leandro Naves, et al.. (2009). Potencial erosivo da chuva no vale do rio doce, região centro leste do estado de Minas Gerais: primeira aproximação. Ciência e Agrotecnologia. 33(6). 1569–1577. 13 indexed citations

20.

Silva, Mayesse Da, et al.. (2008). Análise da distribuição espacial da candeia (Eremanthus erythropappus (DC.) MacLeish) sujeita ao sistema de manejo porta-sementes. CERNE. 14(4). 311–316. 16 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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