Natalino Calegário

625 total citations
64 papers, 448 citations indexed

About

Natalino Calegário is a scholar working on Nature and Landscape Conservation, Soil Science and Forestry. According to data from OpenAlex, Natalino Calegário has authored 64 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nature and Landscape Conservation, 18 papers in Soil Science and 16 papers in Forestry. Recurrent topics in Natalino Calegário's work include Forest ecology and management (49 papers), Agricultural and Food Sciences (16 papers) and Soil Management and Crop Yield (15 papers). Natalino Calegário is often cited by papers focused on Forest ecology and management (49 papers), Agricultural and Food Sciences (16 papers) and Soil Management and Crop Yield (15 papers). Natalino Calegário collaborates with scholars based in Brazil, United States and Nicaragua. Natalino Calegário's co-authors include Roberto Maestri, Richard F. Daniels, Samuel de Pádua Chaves e Carvalho, Paulo Fernando Trugilho, Adriano Ribeiro de Mendonça, Agostinho Lopes de Souza, Ronald Zanetti, Marcela de Castro Nunes Santos Terra, Marina Donária Chaves Arantes and João Ricardo Vasconcellos Gama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and Ecological Modelling.

In The Last Decade

Natalino Calegário

59 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalino Calegário Brazil 11 293 119 91 80 78 64 448
Gilson Fernandes da Silva Brazil 12 258 0.9× 136 1.1× 86 0.9× 52 0.7× 56 0.7× 66 483
Antônio Carlos Ferraz Filho Brazil 14 345 1.2× 161 1.4× 103 1.1× 122 1.5× 73 0.9× 66 589
Leonardo Pequeno Reis Brazil 12 209 0.7× 69 0.6× 86 0.9× 67 0.8× 41 0.5× 32 351
Daniel Henrique Breda Binoti Brazil 15 440 1.5× 191 1.6× 141 1.5× 246 3.1× 94 1.2× 89 692
Álvaro Augusto Vieira Soares Brazil 10 265 0.9× 70 0.6× 53 0.6× 55 0.7× 35 0.4× 28 355
Luciano Farinha Watzlawick Brazil 11 362 1.2× 76 0.6× 152 1.7× 136 1.7× 154 2.0× 123 587
Rafaelo Balbinot Brazil 10 170 0.6× 68 0.6× 70 0.8× 49 0.6× 83 1.1× 63 341
Allan Libanio Pelissari Brazil 12 309 1.1× 121 1.0× 117 1.3× 97 1.2× 129 1.7× 103 484
Christopher Morhart Germany 15 306 1.0× 255 2.1× 98 1.1× 98 1.2× 23 0.3× 28 609
Paulo Renato Schneider Brazil 14 504 1.7× 60 0.5× 254 2.8× 150 1.9× 211 2.7× 133 703

Countries citing papers authored by Natalino Calegário

Since Specialization
Citations

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

Fields of papers citing papers by Natalino Calegário

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalino Calegário

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

All Works

20 of 20 papers shown
1.
Neves, Júlio César Lima, Gustavo Eduardo Marcatti, Carlos Pedro Boëchat Soares, et al.. (2024). Use of artificial neural networks with the physiological principles to predict growth model. Engineering Applications of Artificial Intelligence. 136. 108914–108914. 2 indexed citations
2.
Calegário, Natalino, et al.. (2023). Accuracy of tree height estimation with model extracted from artificial neural network and new linear and nonlinear models. Acta Scientiarum Agronomy. 46(1). e63286–e63286.
3.
Carvalho, Samuel de Pádua Chaves e, et al.. (2023). Modelos regionais de relação hipsométrica avaliados para plantio clonal de eucalipto em área de Cerrado. Ciência Florestal. 33(2). 1 indexed citations
4.
Terra, Marcela de Castro Nunes Santos, et al.. (2022). Modelos de crescimento não linear para espécies de árvores usadas na restauração florestal no Arco do Desmatamento da Amazônia brasileira. SHILAP Revista de lepidopterología. 42.
5.
Azevedo, C. P. de, et al.. (2021). Modelagem volumétrica da necromassa lenhosa em floresta manejada e não manejada na Amazônia Central. Ciência Florestal. 31(4). 1812–1832. 1 indexed citations
6.
Trugilho, Paulo Fernando, et al.. (2020). Estimating wood moisture by near infrared spectroscopy: Testing acquisition methods and wood surfaces qualities. Wood Material Science and Engineering. 16(5). 336–343. 31 indexed citations
7.
Trugilho, Paulo Fernando, et al.. (2015). Effect of age and site on the basic density and dry mass of wood from a clone of Eucalyptus urophylla.. Scientia Forestalis. 43(105). 101–116. 7 indexed citations
8.
Carvalho, Samuel de Pádua Chaves e, Luiz Carlos Estraviz Rodriguez, Luciana Duque Silva, et al.. (2015). Predição do volume de árvores integrando Lidar e Geoestatística. Scientia Forestalis. 43. 3 indexed citations
9.
Carvalho, Samuel de Pádua Chaves e, et al.. (2015). Predict volume of trees integrating Lidar and Geostatistics.. Scientia Forestalis. 43(107). 627–637. 4 indexed citations
10.
Carvalho, Samuel de Pádua Chaves e, et al.. (2014). Non linear mixed modeling to describe the taper of clonal Eucalyptus sp.. Scientia Forestalis. 42(104). 605–614. 4 indexed citations
11.
Mendonça, Adriano Ribeiro de, et al.. (2011). Height diameter relationship and growth in height the dominant and codominant trees model to Pinus caribaea var. hondurensis.. Scientia Forestalis. 39(90). 151–160. 3 indexed citations
12.
Calegário, Natalino, et al.. (2009). Floristic aspects and diversity of regenerated arboreal species under a stand of Anadenanthera peregrina Speg.. CERNE. 15(2). 187–195. 5 indexed citations
13.
Calegário, Natalino, et al.. (2009). Height-diameter models in forestry with inclusion of covariates. SHILAP Revista de lepidopterología. 12 indexed citations
14.
Malavasi, Ubirajara Contro, et al.. (2008). Relações alométricas para <i>Leucaena leucocephala </i>(Lam.) De Wit.. Ciência Florestal. 18(3). 329–338. 1 indexed citations
15.
Pereira, José Aldo Alves, et al.. (2006). Caracterização de sítios e comportamento de espécies florestais emprocesso de estabilização de voçorocas. CERNE. 12(1). 68–79. 1 indexed citations
16.
Coelho, Luiz Moreira, José Luiz Pereira de Rezende, Thelma Sáfadi, & Natalino Calegário. (2006). Análise temporal do preço do carvão vegetal oriundo de floresta nativa e de floresta plantada. Scientia Forestalis. 4 indexed citations
17.
Calegário, Natalino, et al.. (2006). EFFECT OF DIFFERENT FERTILIZATION PRACTICES ON THE GROWTH OF TWO PLANT SPECIES: Begonia sp. AND Petunia sp.. CERNE. 12(2). 107–112. 1 indexed citations
18.
Calegário, Natalino, et al.. (2006). Melhoria na precisão da prescrição de manejo para floresta natural. CERNE. 12(2). 145–156. 4 indexed citations
19.
Calegário, Natalino, et al.. (2006). Desenvolvimento de modelos de crescimento de árvores individuais fundamentado em equações diferenciais. CERNE. 12(3). 254–263. 1 indexed citations
20.
Calegário, Natalino, et al.. (2004). Desenvolvimento de um modelo linear de efeito misto naestimativa do crescimento e produção de povoamentos clonaisde eucalyptus.. CERNE. 10(1). 67–86. 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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