Rodrigo Trevisan

555 total citations
19 papers, 342 citations indexed

About

Rodrigo Trevisan is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, Rodrigo Trevisan has authored 19 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 9 papers in Ecology and 9 papers in Plant Science. Recurrent topics in Rodrigo Trevisan's work include Soil Geostatistics and Mapping (7 papers), Remote Sensing in Agriculture (6 papers) and Smart Agriculture and AI (6 papers). Rodrigo Trevisan is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Remote Sensing in Agriculture (6 papers) and Smart Agriculture and AI (6 papers). Rodrigo Trevisan collaborates with scholars based in Brazil, United States and Spain. Rodrigo Trevisan's co-authors include Nicolás F. Martín, José Paulo Molin, André Freitas Colaço, Alexandre Escolà, David S. Bullock, Joan R. Rosell-Polo, Naira Hovakimyan, Lucas Rios do Amaral, Brian W. Diers and Tiago Rodrigues Tavares and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Rodrigo Trevisan

19 papers receiving 329 citations

Peers

Rodrigo Trevisan

ECOLO

Sergio Ruggieri Italy

Francelino A. Rodrigues Mexico

Mario Alberto Vázquez Peña Mexico

Jouko Kleemola Finland

Luciano Shozo Shiratsuchi Brazil

Tulsi P. Kharel United States

Kenan Diker Türkiye

Kushal KC United States

Vivek Naiken South Africa

Sabastine U. Ugbaje Australia

Sergio Ruggieri Italy

Rodrigo Trevisan

135 ×0.7

151 ×1.0

ECOLO

181 ×1.2

38 ×0.8

38 ×1.2

Citations per year, relative to Rodrigo Trevisan Rodrigo Trevisan (= 1×) peers Sergio Ruggieri

Countries citing papers authored by Rodrigo Trevisan

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo Trevisan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo Trevisan. 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 Rodrigo Trevisan. The network helps show where Rodrigo Trevisan may publish in the future.

Co-authorship network of co-authors of Rodrigo Trevisan

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

All Works

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19 of 19 papers shown

Tavanti, Renan Francisco Rimoldi, Matheus Bortolanza Soares, Rodrigo Trevisan, et al.. (2023). Macro-scale spatial modeling reveals the role of soil organic matter quality in CO2 emissions. Geoderma Regional. 34. e00690–e00690. 2 indexed citations

Trevisan, Rodrigo, et al.. (2022). Multiyear Maize Management Dataset collected in Chiapas, Mexico. Data in Brief. 40. 107837–107837. 5 indexed citations

Tavares, Tiago Rodrigues, et al.. (2022). Predictive Performance of Mobile Vis–NIR Spectroscopy for Mapping Key Fertility Attributes in Tropical Soils through Local Models Using PLS and ANN. SHILAP Revista de lepidopterología. 3(1). 116–131. 7 indexed citations

Cherubin, Maurício Roberto, Júnior Melo Damian, Tiago Rodrigues Tavares, et al.. (2022). Precision Agriculture in Brazil: The Trajectory of 25 Years of Scientific Research. Agriculture. 12(11). 1882–1882. 15 indexed citations

Trevisan, Rodrigo, David S. Bullock, & Nicolás F. Martín. (2020). Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation. Precision Agriculture. 22(2). 342–363. 50 indexed citations

Trevisan, Rodrigo, et al.. (2020). High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks. Remote Sensing. 12(21). 3617–3617. 23 indexed citations

Colaço, André Freitas, et al.. (2020). Yield mapping methods for manually harvested crops. Computers and Electronics in Agriculture. 177. 105693–105693. 15 indexed citations

Trevisan, Rodrigo, et al.. (2020). Modeling yield response to crop management using convolutional neural networks. Computers and Electronics in Agriculture. 170. 105197–105197. 72 indexed citations

Trevisan, Rodrigo, David S. Bullock, & Nicolás F. Martín. (2019). Site-specific treatment responses in on-farm precision experimentation. 925–931. 3 indexed citations

10.

Trevisan, Rodrigo, Luciano Shozo Shiratsuchi, David S. Bullock, & Nicolás F. Martín. (2019). Improving yield mapping accuracy using remote sensing. 901–908. 4 indexed citations

11.

Trevisan, Rodrigo, et al.. (2018). Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors. Agriculture. 8(7). 101–101. 10 indexed citations

12.

Colaço, André Freitas, Rodrigo Trevisan, José Paulo Molin, Joan R. Rosell-Polo, & Alexandre Escolà. (2017). Orange tree canopy volume estimation by manual and LiDAR-based methods. Advances in Animal Biosciences. 8(2). 477–480. 28 indexed citations

13.

Colaço, André Freitas, et al.. (2017). Accuracy assessment of a mobile terrestrial laser scanner for tree crops. Advances in Animal Biosciences. 8(2). 178–182. 4 indexed citations

14.

Colaço, André Freitas, Rodrigo Trevisan, José Paulo Molin, Joan R. Rosell-Polo, & Alexandre Escolà. (2017). A Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling. Remote Sensing. 9(8). 763–763. 68 indexed citations

15.

Amaral, Lucas Rios do, Rodrigo Trevisan, & José Paulo Molin. (2017). Canopy sensor placement for variable-rate nitrogen application in sugarcane fields. Precision Agriculture. 19(1). 147–160. 20 indexed citations

16.

Trevisan, Rodrigo, et al.. (2017). Variability of physical properties of soil and rice grown under cover crops in crop-livestock integrated system. Bragantia. 76(1). 145–154. 7 indexed citations

17.

Trevisan, Rodrigo, et al.. (2012). Dinâmica da Água em uma Microbacia com Cobertura Florestal de EucaliptoLocalizada na Serra do Mar no Vale do Paraíba do Sul. Revista Brasileira de Recursos Hídricos. 17(4). 207–216. 4 indexed citations

18.

Groppo, Juliano Daniel, et al.. (2011). Aspectos hidrológicos da recuperação florestal de áreas de preservação permanente ao longo dos corpos de água. Hydrological aspects of Forest recuperation of permanent preservation areas along water bodies.. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Salemi, Luiz Felippe, Juliano Daniel Groppo, Rodrigo Trevisan, et al.. (2011). ASPECTOS HIDROLÓGICOS DA RECUPERAÇÃO FLORESTAL DE ÁREAS DE PRESERVAÇÃO PERMANENTE AO LONGO DOS CORPOS D’ÁGUA. SHILAP Revista de lepidopterología. 23(1). 69–80. 4 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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