Thiago Moraes

472 total citations
18 papers, 238 citations indexed

About

Thiago Moraes is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Oral Surgery. According to data from OpenAlex, Thiago Moraes has authored 18 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 3 papers in Oral Surgery. Recurrent topics in Thiago Moraes's work include Medical Image Segmentation Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Thiago Moraes is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Thiago Moraes collaborates with scholars based in Brazil, Belgium and Mexico. Thiago Moraes's co-authors include Paulo Amorim, Jorge Vicente Lopes da Silva, Hélio Pedrini, Leonardo Oliveira Reis, Guilherme Ruppert, Oswaldo Baffa, Victor H. Souza, Rui B. Ruben, Gerson Jhonatan Rodrigues and Roberto Santana da Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.

In The Last Decade

Thiago Moraes

17 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thiago Moraes Brazil 8 90 66 50 46 35 18 238
Paulo Amorim Brazil 8 90 1.0× 82 1.2× 50 1.0× 46 1.0× 36 1.0× 17 256
Giacomo Donato Cascarano Italy 12 126 1.4× 121 1.8× 20 0.4× 52 1.1× 14 0.4× 19 428
Tobias Wissel Germany 11 63 0.7× 145 2.2× 28 0.6× 48 1.0× 20 0.6× 38 342
John Galeotti United States 10 64 0.7× 85 1.3× 31 0.6× 47 1.0× 16 0.5× 42 299
Shujie Deng United Kingdom 10 105 1.2× 62 0.9× 89 1.8× 31 0.7× 65 1.9× 26 262
Alejandro Martin‐Gomez United States 10 143 1.6× 80 1.2× 52 1.0× 15 0.3× 110 3.1× 34 257
Zhen-Liang Ni China 9 109 1.2× 112 1.7× 9 0.2× 38 0.8× 85 2.4× 18 266
Antonio Hernández-Vela Spain 8 177 2.0× 59 0.9× 71 1.4× 24 0.5× 11 0.3× 13 253
Jesper Mosegaard Denmark 12 81 0.9× 125 1.9× 20 0.4× 18 0.4× 140 4.0× 29 396
Raabid Hussain France 9 87 1.0× 66 1.0× 8 0.2× 46 1.0× 61 1.7× 18 224

Countries citing papers authored by Thiago Moraes

Since Specialization
Citations

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

Fields of papers citing papers by Thiago Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thiago Moraes

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

All Works

18 of 18 papers shown
1.
Moraes, Thiago, et al.. (2024). Guanylyl Cyclase Activator Improves Endothelial Function by Decreasing Superoxide Anion Concentration. SHILAP Revista de lepidopterología. 3(1). 102–111.
2.
Moraes, Thiago. (2024). Regulatory sandboxes for trustworthy artificial intelligence – global and Latin American experiences. International Review of Law Computers & Technology. 39(1). 55–74. 1 indexed citations
3.
Amorim, Paulo, Thiago Moraes, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2023). Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network. 1 indexed citations
4.
Amorim, Paulo, Thiago Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini, & Rui B. Ruben. (2020). Reconstruction of Panoramic Dental Images Through Bézier Function Optimization. Frontiers in Bioengineering and Biotechnology. 8. 794–794. 18 indexed citations
5.
Moraes, Thiago, Paulo Amorim, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2019). Medical image interpolation based on 3D Lanczos filtering. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 8(3). 294–300. 32 indexed citations
6.
Moraes, Thiago, Paulo Amorim, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2019). Web-based Interactive Visualization of Medical Images in a Distributed System. 346–353. 1 indexed citations
7.
Amorim, Paulo, et al.. (2019). InVesalius Navigator, a free and open-source software for navigated transcranial magnetic stimulation. Brain stimulation. 12(2). 571–571. 3 indexed citations
8.
Moraes, Thiago, Paulo Amorim, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2019). Web-based Interactive Visualization of Medical Images in a Distributed System. 346–353. 2 indexed citations
9.
Souza, Victor H., et al.. (2018). Development and characterization of the InVesalius Navigator software for navigated transcranial magnetic stimulation. Journal of Neuroscience Methods. 309. 109–120. 29 indexed citations
10.
Amorim, Paulo, Thiago Moraes, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2018). 3D Adaptive Histogram Equalization Method for Medical Volumes. 363–370. 13 indexed citations
11.
Amorim, Paulo, et al.. (2018). Shearlet and contourlet transforms for analysis of electrocardiogram signals. Computer Methods and Programs in Biomedicine. 161. 125–132. 11 indexed citations
12.
Moraes, Thiago, Paulo Amorim, Jorge Vicente Lopes da Silva, & Hélio Pedrini. (2017). Isosurface rendering of medical images improved by automatic texture mapping. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 6(4). 379–385. 2 indexed citations
13.
Amorim, Paulo, et al.. (2016). NURBS Parameterization for Medical Surface Reconstruction. Applied Mathematics. 7(2). 137–144. 4 indexed citations
14.
Moraes, Thiago, et al.. (2016). POMES: An Open-source Software Tool to Generate Porous/Roughness on Surfaces. Procedia CIRP. 49. 178–182. 3 indexed citations
15.
Amorim, Paulo, et al.. (2016). Electroencephalogram signal classification based on shearlet and contourlet transforms. Expert Systems with Applications. 67. 140–147. 27 indexed citations
16.
Amorim, Paulo, Thiago Moraes, Óscar Martínez-Romero, et al.. (2015). A HYBRID FORMULATION FOR SOFT TISSUE MODELING ON REAL-TIME SURGERY SIMULATION. Anais do ... Congresso Ibero-Latino-Americano de Métodos Computacionais em Engenharia. 1 indexed citations
17.
Rodrigues, Gerson Jhonatan, et al.. (2014). Pharmacological Characterization of the Vasodilating Effect Induced by the Ruthenium Complex cis-[Ru(NO)(NO2)(bpy)2].(PF6)2. Journal of Cardiovascular Pharmacology. 65(2). 168–175. 8 indexed citations
18.
Ruppert, Guilherme, Leonardo Oliveira Reis, Paulo Amorim, Thiago Moraes, & Jorge Vicente Lopes da Silva. (2012). Touchless gesture user interface for interactive image visualization in urological surgery. World Journal of Urology. 30(5). 687–691. 82 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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2026