Daniel Henrique Breda Binoti
About
In The Last Decade
Daniel Henrique Breda Binoti
82 papers receiving 670 citations
Peers
Comparison fields: 5 of 62
- Nature and Landscape Conservation 440
- Plant Science 246
- Environmental Engineering 191
- Forestry 141
- Mechanical Engineering 140
Countries citing papers authored by Daniel Henrique Breda Binoti
This map shows the geographic impact of Daniel Henrique Breda Binoti'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 Daniel Henrique Breda Binoti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Henrique Breda Binoti more than expected).
Fields of papers citing papers by Daniel Henrique Breda Binoti
This network shows the impact of papers produced by Daniel Henrique Breda Binoti. 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 Daniel Henrique Breda Binoti. The network helps show where Daniel Henrique Breda Binoti may publish in the future.
Co-authorship network of co-authors of Daniel Henrique Breda Binoti
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Henrique Breda Binoti. A scholar is included among the top collaborators of Daniel Henrique Breda Binoti 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 Daniel Henrique Breda Binoti. Daniel Henrique Breda Binoti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | Prognosis of the diameter distribution in the Amazon by using artificial neural networks and cellular automata. | 1 |
| 8 | APLICAÇÃO DE REDES NEURAIS ARTIFICIAIS NO PREENCHIMENTO DE FALHAS DE PRECIPITAÇÃO MENSAL NA REGIÃO SERRANA DO ESPÍRITO SANTO | 4 |
| 9 | Configuration of artificial neural networks for estimation of total height of eucalyptus trees. | 1 |
| 10 | Artificial neural networks for basic wood density estimation. | 2 |
| 11 | Configuração de redes neurais artificiais para estimação do afilamento do fuste de árvores de eucalipto - DOI:10.5039/agraria.v11i1a5354 | 0 |
| 12 | PROBABILITY DENSITY FUNCTIONS FOR DESCRIPTION OF DIAMETER DISTRIBUTION IN THINNED FOREST STANDS | 2 |
| 13 | Site classification with support vector machine and artificial neural network. | 4 |
| 14 | 3 | |
| 15 | Projection of diametric distribution of even-aged stands using Nakagami and Weibull functions. | 1 |
| 16 | Effect of taper model used on the conversion of trees in boles into multiproducts. | 4 |
| 17 | 3 | |
| 18 | Using the Weibull function to describe basal area by diameter class of an eucalyptus stand. | 1 |
| 19 | Classificação da Capacidade Produtiva de Povoamentos de Eucalipto Utilizando Diâmetro Dominante | 5 |
| 20 | 10 |
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.