Erveton P. Pinto

625 total citations
32 papers, 512 citations indexed

About

Erveton P. Pinto is a scholar working on Computational Mechanics, Food Science and Biomaterials. According to data from OpenAlex, Erveton P. Pinto has authored 32 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 10 papers in Food Science and 7 papers in Biomaterials. Recurrent topics in Erveton P. Pinto's work include Surface Roughness and Optical Measurements (17 papers), Nanocomposite Films for Food Packaging (6 papers) and Botanical Research and Applications (5 papers). Erveton P. Pinto is often cited by papers focused on Surface Roughness and Optical Measurements (17 papers), Nanocomposite Films for Food Packaging (6 papers) and Botanical Research and Applications (5 papers). Erveton P. Pinto collaborates with scholars based in Brazil, Romania and India. Erveton P. Pinto's co-authors include Robert S. Matos, Ştefan Ţălu, Henrique Duarte da Fonseca Filho, Marcelo A. Pires, Marco Salerno, Tiago Marcolino de Souza, Nilson S. Ferreira, Ram Pratap Yadav, Raquel Silva Araújo and José Carlos Tavares Carvalho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and International Journal of Pharmaceutics.

In The Last Decade

Erveton P. Pinto

30 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erveton P. Pinto Brazil 14 223 114 98 85 72 32 512
G. Gładyszewski Poland 15 108 0.5× 120 1.1× 198 2.0× 53 0.6× 78 1.1× 64 652
Gary L. Leal United States 11 140 0.6× 62 0.5× 167 1.7× 57 0.7× 144 2.0× 238 705
Enric Santanach‐Carreras France 13 85 0.4× 76 0.7× 143 1.5× 40 0.5× 180 2.5× 31 592
Andrés Córdoba United States 15 93 0.4× 34 0.3× 137 1.4× 18 0.2× 164 2.3× 39 664
Mohammad Amin Sarshar United States 14 268 1.2× 187 1.6× 54 0.6× 28 0.3× 246 3.4× 23 817
Lydiane Bécu France 12 130 0.6× 63 0.6× 419 4.3× 133 1.6× 118 1.6× 20 793
Nick O. Jaensson Netherlands 12 197 0.9× 41 0.4× 234 2.4× 65 0.8× 133 1.8× 29 567
Bavand Keshavarz United States 15 331 1.5× 25 0.2× 139 1.4× 87 1.0× 167 2.3× 28 841
Antti Puisto Finland 18 73 0.3× 100 0.9× 276 2.8× 54 0.6× 175 2.4× 49 759
Andrei Potanin United States 14 112 0.5× 63 0.6× 351 3.6× 167 2.0× 205 2.8× 44 856

Countries citing papers authored by Erveton P. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Erveton P. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erveton P. Pinto. 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 Erveton P. Pinto. The network helps show where Erveton P. Pinto may publish in the future.

Co-authorship network of co-authors of Erveton P. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Erveton P. Pinto. A scholar is included among the top collaborators of Erveton P. Pinto 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 Erveton P. Pinto. Erveton P. Pinto 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.
2.
Pinto, Erveton P., et al.. (2023). Copaiba essential oil loaded-nanocapsules film as a potential candidate for treating skin disorders: preparation, characterization, and antibacterial properties. International Journal of Pharmaceutics. 633. 122608–122608. 23 indexed citations
3.
Pinto, Erveton P., Robert S. Matos, Marcelo A. Pires, et al.. (2023). Nanoscale 3D Spatial Analysis of Zirconia Disc Surfaces Subjected to Different Laser Treatments. Fractal and Fractional. 7(2). 160–160. 16 indexed citations
4.
Pinto, Erveton P., Bernard Nysten, Leandro Rocha, et al.. (2023). Poly-ɛ-caprolactone nanocapsules loaded with copaiba essential oil reduce inflammation and pain in mice. International Journal of Pharmaceutics. 642. 123147–123147. 7 indexed citations
5.
Pinto, Erveton P., et al.. (2023). Influence of gelatin on the functional characteristics and wound healing potential of chitosan/zein films loaded with ellagic acid nanoparticles. Journal of Drug Delivery Science and Technology. 88. 104942–104942. 5 indexed citations
6.
Matos, Robert S., et al.. (2023). SEM-imaging-based mapping of monofractal and multifractal patterns of the Piper krukoffii Yunck leaf surface architecture. Flora. 306. 152355–152355. 10 indexed citations
7.
Ţălu, Ştefan, Erveton P. Pinto, Robert S. Matos, et al.. (2022). Surface dynamics, fractal features, and micromorphology analysis of kefir biofilms. Microscopy Research and Technique. 85(5). 1964–1975. 3 indexed citations
8.
Matos, Robert S., et al.. (2021). Correlating Structure and Morphology of Andiroba Leaf (Carapa guianensis Aubl.) by Microscopy and Fractal Theory Analyses. Applied Sciences. 11(13). 5848–5848. 12 indexed citations
9.
10.
Pinto, Erveton P., et al.. (2021). Lacunarity exponent and Moran index: A complementary methodology to analyze AFM images and its application to chitosan films. Physica A Statistical Mechanics and its Applications. 581. 126192–126192. 23 indexed citations
11.
Costa, M.E.H. Maia da, et al.. (2021). Stereometric analysis of Amazon rainforest Anacardium occidentale L. leaves. Planta. 253(1). 6–6. 18 indexed citations
12.
Yadav, Ram Pratap, Vipin Chawla, Sanjeev Kumar, et al.. (2021). Analyzing the surface dynamics of titanium thin films using fractal and multifractal geometry. Materials Today Communications. 27. 102385–102385. 34 indexed citations
13.
Ţălu, Ştefan, et al.. (2020). Advanced fractal analysis of nanoscale topography of Ag/DLC composite synthesized by RF-PECVD. Surface Engineering. 36(7). 713–719. 64 indexed citations
14.
Matos, Robert S., et al.. (2020). 3D micromorphology evaluation of kefir microbial films loaded with extract of Amazon rainforest fruit Cupuaçu. Micron. 142. 102996–102996. 26 indexed citations
15.
Pinto, Erveton P., et al.. (2020). Study of the superficial distribution of microorganisms in kefir biofilms prepared with Cupuaçu juice. SHILAP Revista de lepidopterología. 1–11. 13 indexed citations
16.
Matos, Robert S., et al.. (2020). Stereometric characterization of kefir microbial films associated with Maytenus rigida extract. Microscopy Research and Technique. 83(11). 1401–1410. 39 indexed citations
17.
Matos, Robert S., et al.. (2020). Nanoscale morphology, structure and fractal study of kefir microbial films grown in natura. Polímeros. 30(3). 11 indexed citations
18.
Pinto, Erveton P., et al.. (2020). Nanoscale morphology and fractal analysis of TiO2 coatings on ITO substrate by electrodeposition. Journal of Microscopy. 282(2). 162–174. 5 indexed citations
19.
Matos, Robert S., et al.. (2017). Superficial Characterization of Kefir Biofilms Associated with Açaí and Cupuaçu Extracts. Arabian Journal for Science and Engineering. 43(7). 3371–3379. 61 indexed citations
20.
Pinto, Erveton P., et al.. (2013). O Microscópio de Força Atômica (AFM): importante ferramenta no estudo da morfologia de superfícies na escala nanométrica. 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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