Sérgio Brazolin

469 total citations
23 papers, 322 citations indexed

About

Sérgio Brazolin is a scholar working on Building and Construction, Ecology and Cell Biology. According to data from OpenAlex, Sérgio Brazolin has authored 23 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Building and Construction, 7 papers in Ecology and 6 papers in Cell Biology. Recurrent topics in Sérgio Brazolin's work include Wood Treatment and Properties (10 papers), Plant Pathogens and Fungal Diseases (6 papers) and Tree Root and Stability Studies (5 papers). Sérgio Brazolin is often cited by papers focused on Wood Treatment and Properties (10 papers), Plant Pathogens and Fungal Diseases (6 papers) and Tree Root and Stability Studies (5 papers). Sérgio Brazolin collaborates with scholars based in Brazil, Mexico and United States. Sérgio Brazolin's co-authors include Juarez Benigno Paes, Marina Donária Chaves Arantes, Mário Tomazello Filho, Adriano Wagner Ballarin, Márcia Aiko Shirakawa, Holmer Savastano, Márcia R. Braga, Andreas Richter, Grant T. Kirker and Raquel Gonçalves and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Sérgio Brazolin

20 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sérgio Brazolin Brazil 9 125 68 63 62 46 23 322
Nejc Thaler Slovenia 13 229 1.8× 60 0.9× 32 0.5× 85 1.4× 56 1.2× 22 372
Veikko Möttönen Finland 11 152 1.2× 66 1.0× 47 0.7× 78 1.3× 62 1.3× 38 319
Elias Voulgaridis Greece 13 191 1.5× 69 1.0× 74 1.2× 76 1.2× 91 2.0× 42 412
Zhongmao Jiang China 8 139 1.1× 92 1.4× 107 1.7× 32 0.5× 98 2.1× 15 316
Daniel Guibal France 8 131 1.0× 79 1.2× 70 1.1× 85 1.4× 111 2.4× 32 324
Sri Nugroho Marsoem Indonesia 14 186 1.5× 164 2.4× 123 2.0× 69 1.1× 126 2.7× 63 483
Cláudio Angéli Sansígolo Brazil 12 134 1.1× 75 1.1× 66 1.0× 104 1.7× 42 0.9× 28 315
Bernadette Nanayakkara New Zealand 12 127 1.0× 138 2.0× 81 1.3× 159 2.6× 62 1.3× 17 437
Aleš Zeidler Czechia 14 219 1.8× 99 1.5× 161 2.6× 83 1.3× 118 2.6× 44 516
Costas Passialis Greece 14 233 1.9× 72 1.1× 81 1.3× 82 1.3× 104 2.3× 41 449

Countries citing papers authored by Sérgio Brazolin

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio Brazolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sérgio Brazolin

This figure shows the co-authorship network connecting the top 25 collaborators of Sérgio Brazolin. A scholar is included among the top collaborators of Sérgio Brazolin 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 Sérgio Brazolin. Sérgio Brazolin 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.
Brazolin, Sérgio, et al.. (2024). Urban tree failure probability prediction based on dendrometric aspects and machine learning models. Computers Environment and Urban Systems. 108. 102074–102074. 2 indexed citations
2.
Raimondi, A., et al.. (2022). Soluções Baseadas na Natureza como instrumento de melhoria da arborização urbana, auxiliando na construção de cidades sensíveis à água e resilientes às mudanças climáticas. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 12(1). 12–44. 2 indexed citations
3.
4.
5.
Brazolin, Sérgio, et al.. (2021). Bibliometric Review on the Use of Internet of Things Technologies to Monitor the Impacts of Wind on Trees and Forests. MDPI (MDPI AG). 16–16. 1 indexed citations
6.
Brazolin, Sérgio, et al.. (2021). A Deep Learning-based Approach for Tree Trunk Segmentation. 370–377. 9 indexed citations
7.
Brazolin, Sérgio, et al.. (2020). De árvore invasora à matéria-prima – pesquisa sobre o potencial de uso da leucena para o design de produtos. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 28(2). 1 indexed citations
8.
Gonçalves, Raquel, et al.. (2019). Methodology for the characterization of elastic constants of wood from tree branches. BioResources. 14(4). 8439–8454. 8 indexed citations
9.
Rodríguez, Daigard Ricardo Ortega, et al.. (2019). Evidence to wood biodeterioration of tropical species revealed by non-destructive techniques. The Science of The Total Environment. 672. 357–369. 12 indexed citations
10.
Paes, Juarez Benigno, et al.. (2019). Wood color changes and termiticidal properties of teak heartwood extract used as a wood preservative. Holzforschung. 74(3). 233–245. 21 indexed citations
11.
Gonçalves, Raquel, et al.. (2018). Ultrasound test for root wood elastomechanical characterization. BioResources. 13(3). 5818–5835. 5 indexed citations
12.
Shirakawa, Márcia Aiko, et al.. (2016). Evaluation of mold growth on sugarcane bagasse particleboards in natural exposure and in accelerated test. International Biodeterioration & Biodegradation. 115. 266–276. 29 indexed citations
13.
Paes, Juarez Benigno, et al.. (2016). Potential of teak heartwood extracts as a natural wood preservative. Journal of Cleaner Production. 142. 2093–2099. 84 indexed citations
14.
Brazolin, Sérgio, et al.. (2014). Propriedades físico-mecânicas do lenho deteriorado por fungos apodrecedores de árvores de Tipuana tipu. CERNE. 20(2). 183–190. 7 indexed citations
15.
Brazolin, Sérgio, et al.. (2011). Wood evaluation of deteriorated wood of tipuana trees (Tipuana tipu) in urban areas: macroscopic analysis and specific gravity.. Scientia Forestalis. 39(91). 291–299. 3 indexed citations
16.
Brazolin, Sérgio, et al.. (2010). Association between decay fungi and subterranean termites in the wood biodeterioration process of Tipuana tipu (Benth.) O. Kuntze trees of São Paulo city, SP.. Scientia Forestalis. 38(86). 215–224. 1 indexed citations
17.
Brazolin, Sérgio, et al.. (2010). Associação entre fungos apodrecedores e cupins subterrâneos no processo de biodeterioração do lenho de árvores de Tipuana tipu (Benth.) O. Kuntze da cidade de São Paulo, SP.
18.
Filho, Mário Tomazello, et al.. (2009). Application of X-ray technique in nondestructive evaluation of eucalypt wood. Maderas Ciencia y tecnología. 10(2). 139–150. 69 indexed citations
19.
Brazolin, Sérgio, et al.. (2007). Biodeterioration of brazilwood Caesalpinia echinata Lam. (Leguminosae—Caesalpinioideae) by rot fungi and termites. International Biodeterioration & Biodegradation. 60(4). 285–292. 26 indexed citations
20.
Shirakawa, Márcia Aiko, et al.. (2002). Susceptibility of phosphogypsum to fungal growth and the effect of various biocides. International Biodeterioration & Biodegradation. 49(4). 293–298. 18 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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