World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
Brazil
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
60
Citations
10001
World Ranking
1682
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Brazil Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Brazil Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Statistics
  • Machine learning

Adaptive algorithm, Algorithm, Iterative method, Control theory and Recursive least squares filter are his primary areas of study. The concepts of his Adaptive algorithm study are interwoven with issues in Multiuser detection, Code division multiple access and Spread spectrum. The various areas that R.C. de Lamare examines in his Algorithm study include MIMO and Telecommunications link.

R.C. de Lamare combines subjects such as Single antenna interference cancellation and Bit error rate with his study of Telecommunications link. His Iterative method research includes themes of Minimum mean square error and Adaptive filter. His studies examine the connections between Recursive least squares filter and genetics, as well as such issues in Intersymbol interference, with regards to Constrained optimization and Spatial multiplexing.

His most cited work include:

  • Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering (289 citations)
  • Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems (244 citations)
  • Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters (208 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Algorithm, Control theory, Recursive least squares filter, Spread spectrum and Adaptive filter. His Algorithm research is multidisciplinary, relying on both Code division multiple access, Minimum mean square error, Communication channel, Intersymbol interference and Mathematical optimization. His Control theory study combines topics from a wide range of disciplines, such as Iterative method, MIMO, Filter and Estimation theory.

R.C. de Lamare interconnects Convergence and Signal processing in the investigation of issues within Recursive least squares filter. His work carried out in the field of Spread spectrum brings together such families of science as Radio receiver and Multipath propagation. His studies in Adaptive filter integrate themes in fields like Covariance matrix, Algorithm design, Wiener filter and Adaptive algorithm.

He most often published in these fields:

  • Algorithm (62.50%)
  • Control theory (28.47%)
  • Recursive least squares filter (22.92%)

What were the highlights of his more recent work (between 2016-2021)?

  • Algorithm (62.50%)
  • Relay (8.33%)
  • Selection (5.56%)

In recent papers he was focusing on the following fields of study:

R.C. de Lamare spends much of his time researching Algorithm, Relay, Selection, Link and Bit error rate. R.C. de Lamare integrates many fields in his works, including Algorithm and Noise. His work in Relay tackles topics such as Protocol which are related to areas like Reliability, Cooperative MIMO and Maximum likelihood.

In Link, R.C. de Lamare works on issues like Pairwise error probability, which are connected to Computer engineering. His research on Telecommunications link also deals with topics like

  • Oversampling, which have a strong connection to Quantization, Bandwidth, Antenna array and Base station,
  • Joint that intertwine with fields like Minimum mean square error. His research integrates issues of Mean squared error and Minification in his study of Mimo systems.

Between 2016 and 2021, his most popular works were:

  • Buffer-Aided Max-Link Relay Selection for Multi-Way Cooperative Multi-Antenna Systems (13 citations)
  • Buffer-Aided Max-Link Relay Selection for Two-Way Cooperative Multi-Antenna Systems (6 citations)
  • Coding Techniques for Future Wi-Fi. (1 citations)

Best Publications

  • Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering

    R.C. de Lamare;R. Sampaio-Neto

  • Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

    R.C. de Lamare;R. Sampaio-Neto

  • Multiple Feedback Successive Interference Cancellation Detection for Multiuser MIMO Systems

    Peng Li;R. C. de Lamare;Rui Fa

  • Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters

    R.C. de Lamare;R. Sampaio-Neto

  • Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems

    Keke Zu;Rodrigo C. de Lamare;Martin Haardt

  • Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators

    R.C. de Lamare;R. Sampaio-Neto

  • Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration

    Wence Zhang;Hong Ren;Cunhua Pan;Ming Chen

  • Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systems

    R. C. de Lamare;R. Sampaio-Neto

  • Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression

    R.C. de Lamare;M. Haardt;R. Sampaio-Neto

  • Reduced-Rank Space–Time Adaptive Interference Suppression With Joint Iterative Least Squares Algorithms for Spread-Spectrum Systems

    R.C. de Lamare;R. Sampaio-Neto

  • Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems

    P. Clarke;R. C. de Lamare

  • Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis

    R. C. de Lamare;L. Wang;R. Fa

  • Adaptive MBER decision feedback multiuser receivers in frequency selective fading channels

    R.C. de Lamare;R. Sampaio-Neto

  • Distributed Compressed Estimation Based on Compressive Sensing

    Songcen Xu;Rodrigo C. de Lamare;H. Vincent Poor

  • Low-Complexity Lattice Reduction-Aided Regularized Block Diagonalization for MU-MIMO Systems

    K. Zu;R. C. de Lamare

  • Set-Membership Adaptive Algorithms Based on Time-Varying Error Bounds for CDMA Interference Suppression

    R.C. de Lamare;P. Diniz

  • Reduced-Rank STAP Algorithms using Joint Iterative Optimization of Filters

    Rui Fa;R. C. De Lamare

  • Blind adaptive code-constrained constant modulus algorithms for CDMA interference suppression in multipath channels

    R.C. de Lamare;R. Sampaio-Neto

  • Low-Latency Reweighted Belief Propagation Decoding for LDPC Codes

    Jingjing Liu;R. C. de Lamare

  • Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched Decimation

    R C de Lamare;R Sampaio-Neto;M Haardt

  • Joint iterative interference cancellation and parameter estimation for cdma systems

    R.C. de Lamare;R. Sampaio-Neto;A. Hjorungnes

  • Adaptive Decision-Feedback Detection With Constellation Constraints for MIMO Systems

    Peng Li;R. C. De Lamare

Frequent Co-Authors

Alister G. Burr
Alister G. Burr University of York
Yunlong Cai
Yunlong Cai Zhejiang University
Martin Haardt
Martin Haardt Ilmenau University of Technology
Lingyang Song
Lingyang Song Peking University
Manav R. Bhatnagar
Manav R. Bhatnagar Indian Institute of Technology Delhi
Richard Demo Souza
Richard Demo Souza Universidade Federal de Santa Catarina
Bruno Clerckx
Bruno Clerckx Imperial College London

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