Francisco Madeiro

1.3k total citations
122 papers, 870 citations indexed

About

Francisco Madeiro is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Francisco Madeiro has authored 122 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 37 papers in Computer Vision and Pattern Recognition and 26 papers in Computer Networks and Communications. Recurrent topics in Francisco Madeiro's work include Advanced Wireless Communication Techniques (34 papers), Advanced Data Compression Techniques (22 papers) and Wireless Communication Networks Research (19 papers). Francisco Madeiro is often cited by papers focused on Advanced Wireless Communication Techniques (34 papers), Advanced Data Compression Techniques (22 papers) and Wireless Communication Networks Research (19 papers). Francisco Madeiro collaborates with scholars based in Brazil, Portugal and Venezuela. Francisco Madeiro's co-authors include Paulo S. G. de Mattos Neto, Juliano B. Lima, Waslon T. A. Lopes, Marcelo Sampaio de Alencar, George D. C. Cavalcanti, Tiago A. E. Ferreira, Hugerles S. Silva, João Fausto Lorenzato de Oliveira, Manoel H. N. Marinho and Hugo Valadares Siqueira and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Francisco Madeiro

99 papers receiving 832 citations

Peers

Francisco Madeiro

EEE

CVPR

CNC

Kunikazu Kobayashi Japan

Masanao Obayashi Japan

Decebal Constantin Mocanu Netherlands

Xinying Xu China

Chaoli Zhang China

Yuxiu Hua China

Mu Wang China

Devinder Kaur United States

Jinxing Hu China

Kunikazu Kobayashi Japan

Francisco Madeiro

192 ×0.6

EEE

111 ×0.5

CVPR

305 ×1.4

38 ×0.3

CNC

62 ×0.6

Citations per year, relative to Francisco Madeiro Francisco Madeiro (= 1×) peers Kunikazu Kobayashi

Countries citing papers authored by Francisco Madeiro

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Madeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Madeiro

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

All Works

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20 of 20 papers shown

Ramos‐Perez, Flávia Maria de Moraes, et al.. (2025). Determination of sexual dimorphism with CBCT images of the frontal sinus using a predictive formula and an artificial neural network. Journal of Applied Oral Science. 33. e20250049–e20250049.

Madeiro, Francisco, et al.. (2025). Optimizing Multi-View CNN for CAD Mechanical Model Classification: An Evaluation of Pruning and Quantization Techniques. Electronics. 14(5). 1013–1013.

Santos, Fernando A. N., et al.. (2024). Machine Learning and Graph Signal Processing Applied to Healthcare: A Review. Bioengineering. 11(7). 671–671. 2 indexed citations

Madeiro, Francisco, et al.. (2024). Encryption of 3D or Higher-Dimensional Images: A Review. Applied Sciences. 15(1). 108–108. 1 indexed citations

Alencar, Marcelo Sampaio de, et al.. (2024). On the Adaptive Modulation for User-Centric Cell-Free Massive MIMO Systems. IEEE Access. 12. 35325–35336.

Pontual, Andréa dos Anjos, et al.. (2024). A system for automatic classification of endodontic treatment quality in CBCT. Clinical Oral Investigations. 28(4). 223–223. 2 indexed citations

Madeiro, Francisco, et al.. (2023). O ensino da matemática com apoio das Tecnologias da Informação e da Comunicação (TIC): cenário atual e perspectivas no âmbito do metaverso. Cuadernos de Educación y Desarrollo. 15(9). 9572–9600. 1 indexed citations

Silva, Hugerles S., et al.. (2023). A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning. IEEE Access. 11. 117582–117621. 28 indexed citations

Oliveira, João Fausto Lorenzato de, Paulo S. G. de Mattos Neto, Hugo Valadares Siqueira, et al.. (2023). Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review. Energies. 16(18). 6638–6638. 6 indexed citations

10.

Neto, Paulo S. G. de Mattos, João Fausto Lorenzato de Oliveira, Hugo Valadares Siqueira, et al.. (2022). Solar Irradiance Forecasting Using Dynamic Ensemble Selection. Applied Sciences. 12(7). 3510–3510. 30 indexed citations

11.

Madeiro, Francisco, et al.. (2022). Efficientnets Aplicadas à Esteganálise Em Imagens Digitais. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 7(2). 32–41. 1 indexed citations

12.

Pontual, Andréa dos Anjos, et al.. (2022). Automatic Classification System for Periapical Lesions in Cone-Beam Computed Tomography. Sensors. 22(17). 6481–6481. 34 indexed citations

13.

Madeiro, Francisco, et al.. (2022). Algoritmo Genético e PSO Aplicados à Escolha dos Hiperparâmetros de uma Rede Neural MLP para Classificação de Requisitos Não-Funcionais. Research Society and Development. 11(3). e55411326984–e55411326984. 1 indexed citations

14.

Madeiro, Francisco, et al.. (2020). Encryption of 3D medical images based on a novel multiparameter cosine number transform. Computers in Biology and Medicine. 121. 103772–103772. 21 indexed citations

15.

Silva, Hugerles S., et al.. (2020). Outage Probability of the Product of Two Beaulieu–Xie, $\eta$–$\mu$, $\kappa$–$\mu$, or $\alpha$–$\mu$ Random Variables. IEEE Antennas and Wireless Propagation Letters. 19(12). 2182–2186. 9 indexed citations

16.

Madeiro, Francisco, et al.. (2016). A Quasi Random Symbol Interleaving Technique Applied to Image Transmission By Noisy Channels. IEEE Latin America Transactions. 14(3). 1078–1085. 1 indexed citations

17.

Madeiro, Francisco, et al.. (2015). On Gated Gaussian Impulsive Noise in M-QAM with Optimum Receivers. Journal of Communication and Information Systems. 30(1). 5 indexed citations

18.

Madeiro, Francisco, et al.. (2012). AlfabetoKinect: Um aplicativo para auxiliar na alfabetização de crianças com o uso do Kinect. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 23(1). 2 indexed citations

19.

Madeiro, Francisco, et al.. (2010). Recursos Linguísticos Prosódicos como Facilitadores do Desenvolvimento da Linguagem na Clínica Fonoaudiológica do Autismo. SHILAP Revista de lepidopterología. 23(2). 49–64.

20.

Alencar, Marcelo Sampaio de, et al.. (2010). Error Probability in Multichannel Reception with M-QAM, M-PAM and R-QAM Schemes under Generalized Fading. IEICE Transactions on Communications. E93-B(10). 2677–2687. 9 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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