Ricardo Suyama

795 total citations
70 papers, 408 citations indexed

About

Ricardo Suyama is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Ricardo Suyama has authored 70 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 15 papers in Statistical and Nonlinear Physics and 15 papers in Biomedical Engineering. Recurrent topics in Ricardo Suyama's work include Blind Source Separation Techniques (24 papers), Speech and Audio Processing (10 papers) and Chaos control and synchronization (10 papers). Ricardo Suyama is often cited by papers focused on Blind Source Separation Techniques (24 papers), Speech and Audio Processing (10 papers) and Chaos control and synchronization (10 papers). Ricardo Suyama collaborates with scholars based in Brazil, France and Sweden. Ricardo Suyama's co-authors include Romis Attux, João Marcos Travassos Romano, Diogo C. Soriano, Charles C. Cavalcante, Marcio Eisencraft, Leonardo Tomazeli Duarte, Renato Lopes, Fernando J. Von Zuben, Christian Jutten and Martin Tygel and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Ricardo Suyama

61 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ricardo Suyama Brazil	12	138	126	92	73	72	70	408
Bijan Afsari United States	10	75 0.5×	37 0.3×	113 1.2×	87 1.2×	12 0.2×	20	443
Jiaming Liu China	13	114 0.8×	50 0.4×	73 0.8×	261 3.6×	92 1.3×	37	518
Jianhong Xiang China	14	47 0.3×	232 1.8×	98 1.1×	184 2.5×	118 1.6×	68	521
Kiichi Urahama Japan	11	54 0.4×	21 0.2×	39 0.4×	182 2.5×	70 1.0×	138	433
Zhaoshui He China	4	152 1.1×	28 0.2×	19 0.2×	102 1.4×	25 0.3×	6	334
Rueywen Liu United States	10	101 0.7×	25 0.2×	74 0.8×	32 0.4×	129 1.8×	43	397
Robert A. Wannamaker Canada	7	118 0.9×	51 0.4×	95 1.0×	124 1.7×	152 2.1×	16	448
V. Barroso Portugal	13	160 1.2×	15 0.1×	79 0.9×	33 0.5×	166 2.3×	75	428
Magno T. M. Silva Brazil	14	494 3.6×	35 0.3×	86 0.9×	52 0.7×	89 1.2×	58	619
S.H. Isabelle United States	5	39 0.3×	250 2.0×	138 1.5×	74 1.0×	31 0.4×	6	374

Countries citing papers authored by Ricardo Suyama

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Suyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Suyama

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Suyama. A scholar is included among the top collaborators of Ricardo Suyama 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 Ricardo Suyama. Ricardo Suyama 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

Suyama, Ricardo, et al.. (2025). Agentic AI for Intent-Based Industrial Automation. 437–444.

Suyama, Ricardo, et al.. (2025). Towards Network Data Analytics in 5G Systems and Beyond. arXiv (Cornell University).

Pelissari, Renata, et al.. (2024). Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. Expert Systems with Applications. 255. 124803–124803.

Moura, Fernando Silva de, et al.. (2024). Post-processing electrical impedance tomography reconstructions with incomplete data using convolutional neural networks. 2(2). 140–164. 2 indexed citations

Suyama, Ricardo, et al.. (2023). Deep image prior with sparsity constraint for limited-angle computed tomography reconstruction. 1(2). 105–125. 1 indexed citations

Suyama, Ricardo, et al.. (2023). Explicabilidade em Modelos Preditivos de Machine Learning no Câncer de Mama. Journal of Health Informatics. 15(Especial).

Trevisoli, Renan, et al.. (2023). Optimizing RF Energy Harvesting Systems for IoT Applications using Reinforcement Learning. 22. 1–5. 1 indexed citations

Valverde, María Cleofé, et al.. (2021). Integrated intelligent geoprocessing tool for screening candidate locations suitable for Distributed Generation Deployment. Renewable Energy. 177. 797–806. 4 indexed citations

Soriano, Diogo C., et al.. (2020). Channel capacity in brain–computer interfaces. Journal of Neural Engineering. 17(1). 16060–16060. 12 indexed citations

10.

Soriano, Diogo C., et al.. (2016). Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach. Communications in Nonlinear Science and Numerical Simulation. 37. 143–162. 16 indexed citations

11.

Suyama, Ricardo, et al.. (2015). Non-overlapping lensless synthetic aperture digital holography. 13. 1–2.

12.

Attux, Romis, et al.. (2013). Blind Deconvolution of Correlated Sources Based on Second-Order Statistics. 1 indexed citations

13.

Duarte, Leonardo Tomazeli, Ricardo Suyama, Bertrand Rivet, et al.. (2012). Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. IEEE Transactions on Signal Processing. 60(11). 5832–5844. 13 indexed citations

14.

Soriano, Diogo C., et al.. (2012). Proposal and analysis of a FitzHugh-Nagumo neuronal circuit. IFAC Proceedings Volumes. 45(12). 220–225. 4 indexed citations

15.

Duarte, Leonardo Tomazeli, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, & Christian Jutten. (2011). Blind extraction of sparse components based on ℓ<inf>0</inf>-norm minimization. 2 indexed citations

16.

Eisencraft, Marcio, J.M.V. Grzybowski, Diogo C. Soriano, et al.. (2011). Chaos-based communication systems in non-ideal channels. Communications in Nonlinear Science and Numerical Simulation. 17(12). 4707–4718. 38 indexed citations

17.

Soriano, Diogo C., et al.. (2011). Denoising chaotic time series using an evolutionary state estimation approach. 116–122. 3 indexed citations

18.

Attux, Romis, et al.. (2010). Unsupervised Signal Processing: Channel Equalization and Source Separation. 43 indexed citations

19.

Attux, Romis, et al.. (2007). On the Relationships between Blind Equalization and Blind Source Separation – Part I: Foundations. Journal of Communication and Information Systems. 22(1). 41–52. 1 indexed citations

20.

Suyama, Ricardo, et al.. (2003). Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. SHILAP Revista de lepidopterología. 3 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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