Gilson A. Giraldi

1.7k total citations · 1 hit paper
103 papers, 1.1k citations indexed

About

Gilson A. Giraldi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Gilson A. Giraldi has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 22 papers in Computational Mechanics and 19 papers in Artificial Intelligence. Recurrent topics in Gilson A. Giraldi's work include Medical Image Segmentation Techniques (22 papers), Face and Expression Recognition (18 papers) and Computer Graphics and Visualization Techniques (12 papers). Gilson A. Giraldi is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Face and Expression Recognition (18 papers) and Computer Graphics and Visualization Techniques (12 papers). Gilson A. Giraldi collaborates with scholars based in Brazil, Netherlands and United Kingdom. Gilson A. Giraldi's co-authors include Carlos Eduardo Thomaz, Anselmo Ferreira, Paulo S. Rodrigues, Aura Conci, Jasjit S. Suri, Ruey‐Feng Chang, Marcelo Bernardes Vieira, Raul Queiroz Feitosa, Júlio César Duarte and Bruno Schulze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Gilson A. Giraldi

85 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new ranking method for principal components analysis and its application to face image analysis

2009 386 citations Carlos Eduardo Thomaz, Gilson A. Giraldi profile →

Peers

Gilson A. Giraldi

CVPR

AI

OS

BE

SP

Chulhee Lee South Korea

Peter Tu United States

Wei‐Lun Chao United States

Fuqing Duan China

Zunlei Feng China

Li Song China

Shohreh Kasaei Iran

Mohammed El Hassouni Morocco

Nipon Theera‐Umpon Thailand

Chulhee Lee South Korea

Gilson A. Giraldi

731 ×1.2

CVPR

186 ×0.9

AI

64 ×0.4

OS

108 ×1.0

BE

170 ×1.6

SP

Citations per year, relative to Gilson A. Giraldi Gilson A. Giraldi (= 1×) peers Chulhee Lee

Countries citing papers authored by Gilson A. Giraldi

Since Specialization

Citations

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

Fields of papers citing papers by Gilson A. Giraldi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilson A. Giraldi. 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 Gilson A. Giraldi. The network helps show where Gilson A. Giraldi may publish in the future.

Co-authorship network of co-authors of Gilson A. Giraldi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Giraldi, Gilson A., et al.. (2024). Fetal MRI Artifacts: Semi-Supervised Generative Adversarial Neural Network for Motion Artifacts Reducing in Fetal Magnetic Resonance Images. Journal of Computer and Communications. 12(6). 210–225.

2.

Giraldi, Gilson A., et al.. (2023). Deep Learning for Fluid Simulation and Animation. 1 indexed citations

3.

Giraldi, Gilson A., et al.. (2023). Self-Supervised Image Denoising Methods: an Application in Fetal MRI. 137–141. 1 indexed citations

4.

Giraldi, Gilson A., et al.. (2022). Dental arch definition in computed tomographs using two semi-automatic methods. Medical & Biological Engineering & Computing. 60(12). 3499–3508. 2 indexed citations

5.

Giraldi, Gilson A., et al.. (2021). A new method of selecting safe neighbors for the Riemannian Manifold Learning algorithm. IEEE Latin America Transactions. 19(1). 89–97.

6.

Giraldi, Gilson A., et al.. (2021). Dynamic mode decomposition for analyzing two-phase flows video data. 1 indexed citations

7.

Vieira, Marcelo Bernardes, et al.. (2021). A particle-in-cell method for anisotropic fluid simulation. Computers & Graphics. 102. 220–232. 1 indexed citations

8.

Giraldi, Gilson A., et al.. (2020). On using convolutional neural networks to classify periodontal bone destruction in periapical radiographs. 2036–2039. 24 indexed citations

9.

Giraldi, Gilson A., et al.. (2020). Using super-resolution generative adversarial network models and transfer learning to obtain high resolution digital periapical radiographs. Computers in Biology and Medicine. 129. 104139–104139. 36 indexed citations

10.

Giraldi, Gilson A., et al.. (2019). Fixed point implementation of a variational time integrator approach for smoothed particle hydrodynamics simulation of fluids. Computers & Mathematics with Applications. 79(4). 1111–1130. 1 indexed citations

11.

Conci, Aura, et al.. (2019). On Using Image Processing Techniques for Evaluation of Mammography Acquisition Errors. 330–335. 1 indexed citations

12.

Vieira, Marcelo Bernardes, et al.. (2017). Comparing Different Strategies for Frame-to-Frame Rigid Registration of Point Clouds. 87–96. 1 indexed citations

13.

Rodrigues, Paulo S. & Gilson A. Giraldi. (2016). Theoretical Elements in Fourier Analysis of q-Gaussian Functions. 27(2). 16–44. 4 indexed citations

14.

Giraldi, Gilson A., et al.. (2011). SBIM: An Internet Manager for Sharing Biological and Medical Images. Journal of Health Informatics. 3(4). 2 indexed citations

15.

Giraldi, Gilson A., et al.. (2011). GPU Surface Flow Simulation and Multiresolution Animation in Digital Terrain Models.

16.

Giraldi, Gilson A., et al.. (2011). Image assessment of MSCT and CBCT scans for rapid maxillary expansion: a pilot study. Computer Methods in Biomechanics & Biomedical Engineering. 14(12). 1089–1095. 3 indexed citations

17.

Rodrigues, Paulo S. & Gilson A. Giraldi. (2009). Computing the q-index for Tsallis Nonextensive Image Segmentation. 232–237. 20 indexed citations

18.

Giraldi, Gilson A., Paulo S. Rodrigues, & Jasjit S. Suri. (2006). Implicit Dual Snakes for Medical Imaging. PubMed. 2006. 3025–8. 3 indexed citations

19.

Rodrigues, Paulo S., et al.. (2006). A New Methodology Based on q-Entropy for Breast Lesion Classification in 3-D Ultrasound Images. PubMed. 2006. 1048–1051. 18 indexed citations

20.

Giraldi, Gilson A., et al.. (2002). A boundary extraction method based on Dual-T-Snakes and dynamic programming. 1. 44–49. 10 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.

Explore authors with similar magnitude of impact