Pedro M. Lavrador

426 total citations
20 papers, 317 citations indexed

About

Pedro M. Lavrador is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Pedro M. Lavrador has authored 20 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 5 papers in Computational Mechanics and 3 papers in Control and Systems Engineering. Recurrent topics in Pedro M. Lavrador's work include Advanced Power Amplifier Design (17 papers), Radio Frequency Integrated Circuit Design (14 papers) and Advanced Adaptive Filtering Techniques (5 papers). Pedro M. Lavrador is often cited by papers focused on Advanced Power Amplifier Design (17 papers), Radio Frequency Integrated Circuit Design (14 papers) and Advanced Adaptive Filtering Techniques (5 papers). Pedro M. Lavrador collaborates with scholars based in Portugal, Sweden and Austria. Pedro M. Lavrador's co-authors include José C. Pedro, Telmo R. Cunha, Pedro M. Cabral, Nuno Borges Carvalho, Filipe M. Barradas, Luís C. Nunes, Fernando P. Guiomar, Armando N. Pinto, Michael Gadringer and Gabriel Montoro and has published in prestigious journals such as Optics Express, IEEE Transactions on Microwave Theory and Techniques and IEEE Microwave Magazine.

In The Last Decade

Pedro M. Lavrador

18 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro M. Lavrador Portugal 10 303 76 25 15 13 20 317
Daniel Gunyan United States 11 415 1.4× 92 1.2× 9 0.4× 12 0.8× 33 2.5× 16 421
Jaehyok Yi South Korea 12 498 1.6× 65 0.9× 7 0.3× 28 1.9× 13 1.0× 20 503
Joseph Staudinger United States 14 600 2.0× 136 1.8× 9 0.4× 14 0.9× 15 1.2× 56 611
Yuchen Cao United States 11 424 1.4× 79 1.0× 10 0.4× 7 0.5× 31 2.4× 21 471
Bumman Kim South Korea 12 534 1.8× 46 0.6× 6 0.2× 11 0.7× 21 1.6× 16 536
Souheil Bensmida United Kingdom 13 556 1.8× 110 1.4× 6 0.2× 21 1.4× 40 3.1× 73 587
Seyed Aidin Bassam Canada 12 789 2.6× 56 0.7× 16 0.6× 5 0.3× 23 1.8× 29 799
Jonmei J. Yan United States 12 578 1.9× 65 0.9× 19 0.8× 3 0.2× 21 1.6× 35 586
K. Kanazawa Japan 9 173 0.6× 25 0.3× 5 0.2× 19 1.3× 32 2.5× 31 197
Haifeng Lyu United States 10 343 1.1× 64 0.8× 9 0.4× 3 0.2× 14 1.1× 15 375

Countries citing papers authored by Pedro M. Lavrador

Since Specialization
Citations

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

Fields of papers citing papers by Pedro M. Lavrador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro M. Lavrador. 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 Pedro M. Lavrador. The network helps show where Pedro M. Lavrador may publish in the future.

Co-authorship network of co-authors of Pedro M. Lavrador

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro M. Lavrador. A scholar is included among the top collaborators of Pedro M. Lavrador 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 Pedro M. Lavrador. Pedro M. Lavrador 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.
Barradas, Filipe M., Luís C. Nunes, Telmo R. Cunha, et al.. (2017). Compensation of Long-Term Memory Effects on GaN HEMT-Based Power Amplifiers. IEEE Transactions on Microwave Theory and Techniques. 65(9). 3379–3388. 51 indexed citations
2.
Barradas, Filipe M., Pedro M. Lavrador, Telmo R. Cunha, & José C. Pedro. (2017). Using statistical information for fast static DPD of RF PAs. 11–13. 2 indexed citations
3.
Guiomar, Fernando P., et al.. (2016). Nonlinear compensation with DBP aided by a memory polynomial. Optics Express. 24(26). 30309–30309. 13 indexed citations
4.
Barradas, Filipe M., Luís C. Nunes, José C. Pedro, et al.. (2015). Accurate Linearization with Low-Complexity Models Using Cascaded Digital Predistortion Systems. IEEE Microwave Magazine. 16(1). 94–103. 9 indexed citations
5.
Barradas, Filipe M., Telmo R. Cunha, Pedro M. Lavrador, & José C. Pedro. (2014). Higher locality non-linear basis functions of Volterra series based models to improve extraction conditioning. 1–4. 6 indexed citations
6.
Barradas, Filipe M., Telmo R. Cunha, Pedro M. Lavrador, & José C. Pedro. (2014). Polynomials and LUTs in PA Behavioral Modeling: A Fair Theoretical Comparison. IEEE Transactions on Microwave Theory and Techniques. 62(12). 3274–3285. 14 indexed citations
7.
Barradas, Filipe M., Telmo R. Cunha, Pedro M. Lavrador, & José C. Pedro. (2014). Using spline basis functions in Volterra series based models. 1–3. 2 indexed citations
8.
Pedro, José C., Luís C. Nunes, & Pedro M. Lavrador. (2013). A new large-signal intermodulation and spurious analysis tool. 1–4. 7 indexed citations
9.
Pedro, José C., Pedro M. Cabral, Telmo R. Cunha, & Pedro M. Lavrador. (2013). A Multiple Time-Scale Power Amplifier Behavioral Model for Linearity and Efficiency Calculations. IEEE Transactions on Microwave Theory and Techniques. 61(1). 606–615. 23 indexed citations
10.
Pedro, José C., Pedro M. Cabral, Telmo R. Cunha, & Pedro M. Lavrador. (2012). A new power amplifier behavioral model for simultaneous linearity and efficiency calculations. 1–3. 6 indexed citations
11.
Cunha, Telmo R., et al.. (2011). Rational function-based model with memory for power amplifier behavioral modeling. 1–4. 5 indexed citations
12.
13.
Lavrador, Pedro M., Telmo R. Cunha, Pedro M. Cabral, & José C. Pedro. (2010). The Linearity-Efficiency Compromise. IEEE Microwave Magazine. 11(5). 44–58. 77 indexed citations
14.
Gilabert, Pere L., Pedro M. Lavrador, José C. Pedro, et al.. (2009). Improvements and analysis of nonlinear parallel behavioral models. International Journal of RF and Microwave Computer-Aided Engineering. 19(5). 615–626. 9 indexed citations
15.
Pedro, José C., Pedro M. Lavrador, & Nuno Borges Carvalho. (2006). A Formal Procedure for Microwave Power Amplifier Behavioral Modeling. 848–851. 5 indexed citations
16.
Lavrador, Pedro M., José C. Pedro, & Nuno Borges Carvalho. (2006). A New Volterra Series Based Orthogonal Behavioral Model for Power Amplifiers. 1. 1–4. 10 indexed citations
17.
Lavrador, Pedro M., José C. Pedro, & Nuno Borges Carvalho. (2006). A New Method for the Orthogonal Extraction of the Volterra Series Coefficients. 138–141.
18.
Lavrador, Pedro M., Nuno Borges Carvalho, & José C. Pedro. (2004). Evaluation of Signal-to-Noise and Distortion Ratio Degradation in Nonlinear Systems. IEEE Transactions on Microwave Theory and Techniques. 52(3). 813–822. 21 indexed citations
19.
Pedro, José C., Nuno Borges Carvalho, & Pedro M. Lavrador. (2003). Modeling nonlinear behavior of band-pass memoryless and dynamic systems. 3. 2133–2136. 56 indexed citations
20.
Lavrador, Pedro M., Nuno Borges Carvalho, & José C. Pedro. (2003). Noise and distortion figure - an extension of noise figure definition for nonlinear devices. 3. 2137–2140. 1 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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