Dayan Guimarães

698 total citations
72 papers, 521 citations indexed

About

Dayan Guimarães is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Dayan Guimarães has authored 72 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 12 papers in Signal Processing. Recurrent topics in Dayan Guimarães's work include Cognitive Radio Networks and Spectrum Sensing (37 papers), Distributed Sensor Networks and Detection Algorithms (35 papers) and Blind Source Separation Techniques (10 papers). Dayan Guimarães is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (37 papers), Distributed Sensor Networks and Detection Algorithms (35 papers) and Blind Source Separation Techniques (10 papers). Dayan Guimarães collaborates with scholars based in Brazil, India and Germany. Dayan Guimarães's co-authors include Rausley A. A. de Souza, Bartolomeu F. Uchôa-Filho, Roberto Bomfin, André Noll Barreto, Carlos Da Silva, Antônio Marcos Alberti, Rahul Shrestha, Marco Cattaneo, Tales Cleber Pimenta and Luciano Leonel Mendes and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Dayan Guimarães

65 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dayan Guimarães Brazil 12 327 234 84 84 59 72 521
Xuemeng Liu Australia 9 219 0.7× 266 1.1× 92 1.1× 139 1.7× 34 0.6× 12 455
Changyong Pan China 13 186 0.6× 464 2.0× 77 0.9× 110 1.3× 55 0.9× 77 583
Faouzi Bellili Canada 15 270 0.8× 501 2.1× 236 2.8× 124 1.5× 63 1.1× 81 678
R Gandhiraj India 11 125 0.4× 175 0.7× 55 0.7× 83 1.0× 30 0.5× 57 363
Seyed Mehdi Hosseini Andargoli Iran 14 303 0.9× 322 1.4× 152 1.8× 126 1.5× 41 0.7× 69 582
Chungyong Lee South Korea 13 239 0.7× 698 3.0× 115 1.4× 176 2.1× 35 0.6× 127 860
Erwin Riegler Austria 10 209 0.6× 267 1.1× 48 0.6× 62 0.7× 49 0.8× 20 387
Mihai-Alin Badiu United Kingdom 12 100 0.3× 303 1.3× 84 1.0× 160 1.9× 41 0.7× 36 462
Soheil Salari Iran 13 224 0.7× 330 1.4× 60 0.7× 63 0.8× 64 1.1× 50 422
D.G.M. Cruickshank United Kingdom 12 221 0.7× 309 1.3× 113 1.3× 102 1.2× 133 2.3× 53 471

Countries citing papers authored by Dayan Guimarães

Since Specialization
Citations

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

Fields of papers citing papers by Dayan Guimarães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayan Guimarães

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

All Works

20 of 20 papers shown
1.
Guimarães, Dayan. (2025). Spectrum Hole Geolocation for Database-Driven IoT-Enabled Dynamic Spectrum Access. IEEE Access. 13. 64199–64215. 2 indexed citations
2.
Guimarães, Dayan, et al.. (2024). VLSI Architectures and Hardware Implementation of Ultra Low-Latency and Area-Efficient Pietra-Ricci Index Detector for Spectrum Sensing. IEEE Transactions on Circuits and Systems I Regular Papers. 71(5). 2348–2361. 2 indexed citations
3.
Guimarães, Dayan, et al.. (2024). Influence of Noise Uncertainty Source and Model on the SNR Wall of Energy Detection. IEEE Transactions on Cognitive Communications and Networking. 10(5). 1897–1912. 2 indexed citations
4.
Guimarães, Dayan. (2023). Modified Gini Index Detector for Cooperative Spectrum Sensing over Line-of-Sight Channels. Sensors. 23(12). 5403–5403. 3 indexed citations
5.
Guimarães, Dayan, et al.. (2023). Resource-Efficient Low-Latency Modified Pietra-Ricci Index Detector for Spectrum Sensing in Cognitive Radio Networks. IEEE Transactions on Vehicular Technology. 72(9). 11898–11912. 7 indexed citations
6.
Guimarães, Dayan, et al.. (2021). Weighted Circular Folding Cooperative Power Spectral Density Split Cancellation Algorithm. IEEE Transactions on Vehicular Technology. 70(1). 1062–1066. 2 indexed citations
7.
Guimarães, Dayan. (2020). Pietra-Ricci Index Detector for Centralized Data Fusion Cooperative Spectrum Sensing. IEEE Transactions on Vehicular Technology. 69(10). 12354–12358. 38 indexed citations
8.
Guimarães, Dayan, et al.. (2020). System-to-distribution parameter mapping for the Gini index detector test statistic via artificial neural networks. Computers & Electrical Engineering. 85. 106692–106692. 7 indexed citations
9.
Guimarães, Dayan, et al.. (2019). Performance of Eigenvalue-Based Spectrum Sensing With Approximate Eigenvalue Estimation Methods. Journal of Communication and Information Systems. 34(1). 239–247. 6 indexed citations
10.
Kumar, Santosh, et al.. (2018). Asymptotic Eigenvalue Density for the Quotient Ensemble of Wishart Matrices. IEEE Communications Letters. 22(12). 2575–2578.
11.
Guimarães, Dayan. (2018). Gini index inspired robust detector for spectrum sensing over Ricean channels. Electronics Letters. 55(12). 713–714. 24 indexed citations
12.
Guimarães, Dayan, et al.. (2018). Cooperative Spectrum Sensing with Coded and Uncoded Decision Fusion under Correlated Shadowed Fading Report Channels. Sensors. 19(1). 51–51. 6 indexed citations
13.
Guimarães, Dayan. (2017). Robust Test Statistic for Cooperative Spectrum Sensing Based on the Gerschgorin Circle Theorem. IEEE Access. 6. 2445–2456. 32 indexed citations
14.
Guimarães, Dayan, et al.. (2016). Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity. Sensors. 16(9). 1536–1536. 6 indexed citations
15.
Souza, Rausley A. A. de, et al.. (2015). On the Efficient Generation ofα-κ-μandα-η-μWhite Samples with Applications. International Journal of Antennas and Propagation. 2015. 1–13. 11 indexed citations
16.
Guimarães, Dayan, et al.. (2015). Multiantenna Spectrum Sensing in the Presence of Multiple Primary Users over Fading and Nonfading Channels. International Journal of Antennas and Propagation. 2015. 1–14. 4 indexed citations
17.
Guimarães, Dayan, et al.. (2015). Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing. Sensors. 15(5). 10891–10908. 4 indexed citations
18.
Guimarães, Dayan & Rausley A. A. de Souza. (2014). Simple and Efficient Algorithm for Improving the MDL Estimator of the Number of Sources. Sensors. 14(10). 19477–19492. 7 indexed citations
19.
Guimarães, Dayan, Carlos Da Silva, & Rausley A. A. de Souza. (2013). Cooperative Spectrum Sensing Using Eigenvalue Fusion for OFDMA and Other Wideband Signals. Journal of Sensor and Actuator Networks. 2(1). 1–24. 19 indexed citations
20.
Guimarães, Dayan, Rausley A. A. de Souza, & André Noll Barreto. (2013). Performance of Cooperative Eigenvalue Spectrum Sensing with a Realistic Receiver Model under Impulsive Noise. Journal of Sensor and Actuator Networks. 2(1). 46–69. 17 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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