Carlos Antônio da Silva

4.0k total citations · 1 hit paper
205 papers, 2.9k citations indexed

About

Carlos Antônio da Silva is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Carlos Antônio da Silva has authored 205 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Ecology, 78 papers in Plant Science and 65 papers in Global and Planetary Change. Recurrent topics in Carlos Antônio da Silva's work include Remote Sensing in Agriculture (72 papers), Environmental and biological studies (32 papers) and Spectroscopy and Chemometric Analyses (30 papers). Carlos Antônio da Silva is often cited by papers focused on Remote Sensing in Agriculture (72 papers), Environmental and biological studies (32 papers) and Spectroscopy and Chemometric Analyses (30 papers). Carlos Antônio da Silva collaborates with scholars based in Brazil, United States and Belgium. Carlos Antônio da Silva's co-authors include Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Mendelson Lima, Fábio Henrique Rojo Baio, José Francisco de Oliveira‐Júnior, Washington Luiz Félix Correia Filho, Givanildo de Góis, Dthenifer Cordeiro Santana, Dimas de Barros Santiago and Rafael Coll Delgado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Carlos Antônio da Silva

194 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

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.

A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices

2020 205 citations Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos Antônio da Silva Brazil	28	1.3k	1.0k	949	473	354	205	2.9k
Mário Cunha Portugal	30	956 0.8×	910 0.9×	1.4k 1.5×	410 0.9×	277 0.8×	139	2.9k
Paulo Eduardo Teodoro Brazil	30	1.3k 1.1×	1.0k 1.0×	2.6k 2.7×	450 1.0×	452 1.3×	471	4.6k
Wei Guo China	27	886 0.7×	670 0.6×	630 0.7×	385 0.8×	213 0.6×	125	2.1k
Thomas Udelhoven Germany	32	1.5k 1.2×	917 0.9×	503 0.5×	1.2k 2.6×	471 1.3×	95	3.4k
Yue Shi China	26	1.4k 1.1×	489 0.5×	1.2k 1.2×	424 0.9×	420 1.2×	70	3.0k
Jesús Delegido Spain	28	2.1k 1.7×	924 0.9×	1.1k 1.1×	1.1k 2.3×	357 1.0×	89	3.6k
Mbulisi Sibanda South Africa	26	1.2k 1.0×	640 0.6×	502 0.5×	659 1.4×	116 0.3×	111	2.1k
Allard de Wit Netherlands	28	2.1k 1.7×	1.9k 1.8×	1.4k 1.5×	886 1.9×	180 0.5×	86	4.1k
John Odindi South Africa	34	1.6k 1.2×	1.3k 1.2×	504 0.5×	1.3k 2.8×	247 0.7×	150	3.2k
Daniela Stroppiana Italy	32	1.8k 1.4×	1.7k 1.6×	931 1.0×	764 1.6×	281 0.8×	76	3.4k

Countries citing papers authored by Carlos Antônio da Silva

Since Specialization

Citations

This map shows the geographic impact of Carlos Antônio 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 Carlos Antônio 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 Carlos Antônio da Silva more than expected).

Fields of papers citing papers by Carlos Antônio da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Antônio 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 Carlos Antônio da Silva. The network helps show where Carlos Antônio da Silva may publish in the future.

Co-authorship network of co-authors of Carlos Antônio da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Antônio da Silva. A scholar is included among the top collaborators of Carlos Antônio 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 Carlos Antônio da Silva. Carlos Antônio 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

Teodoro, Larissa Pereira Ribeiro, et al.. (2025). Evaluation of soybean plants affected by Aphelenchoides besseyi using remote sensing and machine learning techniques. Remote Sensing Applications Society and Environment. 37. 101461–101461.

Santana, Dthenifer Cordeiro, Fábio Henrique Rojo Baio, Rita de Cássia Félix Alvarez, et al.. (2025). High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages. AgriEngineering. 7(2). 47–47. 1 indexed citations

Silva, Carlos Antônio da, et al.. (2024). Using the dry matter productivity model as an estimator of biomass production in native grassland communities. Remote Sensing Applications Society and Environment. 37. 101441–101441. 1 indexed citations

Santana, Dthenifer Cordeiro, Larissa Pereira Ribeiro Teodoro, Rita de Cássia Félix Alvarez, et al.. (2024). Detection of Irrigated and Non-Irrigated Soybeans Using Hyperspectral Data in Machine-Learning Models. Algorithms. 17(12). 542–542. 1 indexed citations

Santana, Dthenifer Cordeiro, et al.. (2024). Hyperspectral Response of the Soybean Crop as a Function of Target Spot (Corynespora cassiicola) Using Machine Learning to Classify Severity Levels. AgriEngineering. 6(1). 330–343. 9 indexed citations

Dallacort, Rivanildo, Cácio Luiz Boechat, Paulo Eduardo Teodoro, et al.. (2024). Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform. AgriEngineering. 6(1). 491–508. 1 indexed citations

Rossi, Fernando Saragosa, et al.. (2023). Spatiotemporal analysis of atmospheric XCH4 as related to fires in the Amazon biome during 2015–2020. Remote Sensing Applications Society and Environment. 30. 100967–100967. 2 indexed citations

Loureiro, Elisângela de Souza, Gileno Brito de Azevedo, Dthenifer Cordeiro Santana, et al.. (2023). Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus. Remote Sensing. 15(24). 5657–5657. 8 indexed citations

Santana, Dthenifer Cordeiro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, et al.. (2023). Classification of soybean genotypes for industrial traits using UAV multispectral imagery and machine learning. Remote Sensing Applications Society and Environment. 29. 100919–100919. 24 indexed citations

10.

Teodoro, Paulo Eduardo, Fernando Saragosa Rossi, Larissa Pereira Ribeiro Teodoro, et al.. (2023). Soil CO2 emissions under different land-use managements in Mato Grosso do Sul, Brazil. Journal of Cleaner Production. 434. 139983–139983. 9 indexed citations

11.

Teodoro, Paulo Eduardo, Larissa Pereira Ribeiro Teodoro, Mendelson Lima, et al.. (2023). Dynamics of major environmental disasters involving fire in the Brazilian Pantanal. Scientific Reports. 13(1). 21669–21669. 4 indexed citations

12.

Silva, Carlos Antônio da, et al.. (2022). Is the Gridded Data Accurate? Evaluation of Precipitation and Historical Wet and Dry Periods from ERA5 Data for Canadian Prairies. Remote Sensing. 14(24). 6347–6347. 1 indexed citations

13.

Teodoro, Paulo Eduardo, Fernando Saragosa Rossi, Larissa Pereira Ribeiro Teodoro, et al.. (2022). Wildfire Incidence throughout the Brazilian Pantanal Is Driven by Local Climate Rather Than Bovine Stocking Density. Sustainability. 14(16). 10187–10187. 10 indexed citations

14.

Silva, Carlos Antônio da, Mendelson Lima, Paulo Eduardo Teodoro, et al.. (2022). Fires Drive Long-Term Environmental Degradation in the Amazon Basin. Remote Sensing. 14(2). 338–338. 19 indexed citations

15.

Delgado, Rafael Coll, et al.. (2021). Vegetation degradation in ENSO events: Drought assessment, soil use and vegetation evapotranspiration in the Western Brazilian Amazon. Remote Sensing Applications Society and Environment. 23. 100531–100531. 18 indexed citations

16.

Teodoro, Larissa Pereira Ribeiro, Jorge González Aguilera, Cid Naudi Silva Campos, et al.. (2021). Soybean base saturation stress: Selecting populations for multiple traits using multivariate statistics. Journal of Agronomy and Crop Science. 208(2). 168–177. 3 indexed citations

17.

Delgado, Rafael Coll, et al.. (2020). Spatially explicit modeling of land use and land cover in the State of Rio de Janeiro-Brazil. Remote Sensing Applications Society and Environment. 18. 100303–100303. 7 indexed citations

18.

Delgado, Rafael Coll, et al.. (2020). Performance of CCCma and GFDL climate models using remote sensing and surface data for the state of Rio de Janeiro-Brazil. Remote Sensing Applications Society and Environment. 21. 100446–100446. 3 indexed citations

19.

Baio, Fábio Henrique Rojo, et al.. (2020). UAV-multispectral and vegetation indices in soybean grain yield prediction based on in situ observation. Remote Sensing Applications Society and Environment. 18. 100318–100318. 74 indexed citations

20.

Silva, Carlos Antônio da, et al.. (2013). Rotinas de tratamento digital de imagem Landsat 5/TM para a identificação de queimadas em lavouras canavieiras. SHILAP Revista de lepidopterología. 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.

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