Leonardo Scabini

474 total citations
17 papers, 238 citations indexed

About

Leonardo Scabini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Leonardo Scabini has authored 17 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Leonardo Scabini's work include Advanced Image and Video Retrieval Techniques (4 papers), Complex Network Analysis Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Leonardo Scabini is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Complex Network Analysis Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Leonardo Scabini collaborates with scholars based in Brazil, Belgium and Moldova. Leonardo Scabini's co-authors include Odemir Martinez Bruno, Lucas C. Ribas, Wesley Nunes Gonçalves, Osvaldo N. Oliveira, Andrey Coatrini Soares, Juliana Coatrini Soares, Valquíria Cruz Rodrigues, Matias Eliseo Melendez, André Lopes Carvalho and Rui Manuel Reis and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Leonardo Scabini

17 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Scabini Brazil 8 64 50 32 29 27 17 238
Lucas C. Ribas Brazil 10 71 1.1× 56 1.1× 74 2.3× 31 1.1× 28 1.0× 26 283
Oleg A. Markelov Russia 10 58 0.9× 53 1.1× 15 0.5× 58 2.0× 6 0.2× 47 308
Mohamad Farhan Mohamad Mohsin Malaysia 10 9 0.1× 45 0.9× 17 0.5× 17 0.6× 3 0.1× 47 290
Manoj Sharma India 15 128 2.0× 216 4.3× 10 0.3× 26 0.9× 11 0.4× 51 533
Huiting Li China 11 51 0.8× 19 0.4× 17 0.5× 17 0.6× 24 0.9× 54 372
Wenwen Xia China 13 126 2.0× 20 0.4× 15 0.5× 19 0.7× 10 0.4× 55 454
Ayesha Rafiq Pakistan 10 15 0.2× 74 1.5× 8 0.3× 8 0.3× 10 0.4× 37 278
Yufan Huang China 7 7 0.1× 33 0.7× 91 2.8× 12 0.4× 12 0.4× 27 247
Yubo Peng China 10 88 1.4× 64 1.3× 16 0.5× 8 0.3× 15 0.6× 32 338
Dayang Wang United States 8 44 0.7× 137 2.7× 81 2.5× 7 0.2× 6 0.2× 19 255

Countries citing papers authored by Leonardo Scabini

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Scabini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Scabini

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

All Works

17 of 17 papers shown
1.
Scabini, Leonardo, et al.. (2025). A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. Journal of Imaging. 11(9). 304–304. 2 indexed citations
2.
Scabini, Leonardo, Lucas C. Ribas, Hans Beeckman, et al.. (2025). Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. Computers and Electronics in Agriculture. 231. 109867–109867. 1 indexed citations
3.
Ribas, Lucas C., et al.. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A Statistical Mechanics and its Applications. 635. 129518–129518. 2 indexed citations
4.
Ribas, Lucas C., Leonardo Scabini, Jarbas Joaci de Mesquita Sá, & Odemir Martinez Bruno. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications. 27(1). 1 indexed citations
5.
Scabini, Leonardo, Bernard De Baets, & Odemir Martinez Bruno. (2024). Improving deep neural network random initialization through neuronal rewiring. Neurocomputing. 599. 128130–128130. 2 indexed citations
6.
Scabini, Leonardo & Odemir Martinez Bruno. (2023). Structure and performance of fully connected neural networks: Emerging complex network properties. Physica A Statistical Mechanics and its Applications. 615. 128585–128585. 38 indexed citations
7.
Scabini, Leonardo, et al.. (2023). RADAM: Texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition. 143. 109802–109802. 18 indexed citations
8.
Scabini, Leonardo, et al.. (2022). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications. 212. 118792–118792. 6 indexed citations
9.
Ribas, Lucas C., Leonardo Scabini, & Odemir Martinez Bruno. (2022). A complex network approach for fish species recognition based on otolith shape. 1–5. 3 indexed citations
10.
Ribas, Lucas C., et al.. (2022). Complex Texture Features Learned by Applying Randomized Neural Network on Graphs. 1–6. 1 indexed citations
11.
Soares, Juliana Coatrini, Andrey Coatrini Soares, Valquíria Cruz Rodrigues, et al.. (2021). Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. Materials Chemistry Frontiers. 5(15). 5658–5670. 36 indexed citations
12.
Rodrigues, Valquíria Cruz, Juliana Coatrini Soares, Andrey Coatrini Soares, et al.. (2020). Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3. Talanta. 222. 121444–121444. 46 indexed citations
13.
Scabini, Leonardo, et al.. (2020). Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil. Physica A Statistical Mechanics and its Applications. 564. 125498–125498. 48 indexed citations
14.
Gonçalves, Diogo Nunes, et al.. (2019). Importance of Vertices in Complex Networks Applied to Texture Analysis. IEEE Transactions on Cybernetics. 50(2). 777–786. 9 indexed citations
15.
Ribas, Lucas C., et al.. (2018). Cellular automata rule characterization and classification using texture descriptors. Physica A Statistical Mechanics and its Applications. 497. 109–117. 7 indexed citations
16.
Machado, Bruno Brandoli, Leonardo Scabini, Mauro dos Santos de Arruda, et al.. (2017). A complex network approach for nanoparticle agglomeration analysis in nanoscale images. Journal of Nanoparticle Research. 19(2). 7 indexed citations
17.
Scabini, Leonardo, et al.. (2017). Angular descriptors of complex networks: A novel approach for boundary shape analysis. Expert Systems with Applications. 89. 362–373. 11 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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Breakdown of academic impact, for papers by Lucas C. Ribas Breakdown of academic impact, for papers by Oleg A. Markelov Breakdown of academic impact, for papers by Mohamad Farhan Mohamad Mohsin Breakdown of academic impact, for papers by Manoj Sharma Breakdown of academic impact, for papers by Huiting Li Breakdown of academic impact, for papers by Wenwen Xia Breakdown of academic impact, for papers by Ayesha Rafiq Breakdown of academic impact, for papers by Yufan Huang Breakdown of academic impact, for papers by Yubo Peng Breakdown of academic impact, for papers by Dayang Wang
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2026