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

R.C. de Lamare publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where R.C. de Lamare sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 421 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

R.C. de Lamare D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where R.C. de Lamare sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 60 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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
Are Hjorungnes
Are Hjorungnes University of Oslo
Yunlong Cai
Yunlong Cai Zhejiang University
Martin Haardt
Martin Haardt Ilmenau University of Technology
Lingyang Song
Lingyang Song Peking University
Paulo S. R. Diniz
Paulo S. R. Diniz Federal University of Rio de Janeiro
Isao Yamada
Isao Yamada Tokyo Institute of Technology
Anke Schmeink
Anke Schmeink RWTH Aachen University
Manav R. Bhatnagar
Manav R. Bhatnagar Indian Institute of Technology Delhi
Yuriy Zakharov
Yuriy Zakharov University of York

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