World's Best Scientists 2026 revealed!
Fernando Las-Heras

Fernando Las-Heras

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7454
World Ranking
6165
National Ranking
145

Fernando Las-Heras publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Fernando Las-Heras sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 509 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Fernando Las-Heras D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Fernando Las-Heras sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Fernando Las-Heras is affiliated with the University of Oviedo in Spain. The primary field of study is engineering, with a total of 132 publications. Their research spans several subfields, notably aerospace engineering, electrical and electronic engineering, biomedical engineering, ocean engineering, and electronic, optical, and magnetic materials.

The main topics addressed in their work include:

  • Microwave Imaging and Scattering Analysis
  • Antenna Design and Analysis
  • Geophysical Methods and Applications
  • Advanced SAR Imaging Techniques
  • Electromagnetic Compatibility and Measurements
  • Indoor and Outdoor Localization Technologies
  • Advanced Antenna and Metasurface Technologies

Frequent publication venues for Las-Heras include:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Access
  • 2022 16th European Conference on Antennas and Propagation (EuCAP)
  • Sensors
  • IEEE Transactions on Antennas and Propagation

The scientist has collaborated extensively with several co-authors such as:

  • Yuri Álvarez
  • Jaime Laviada
  • Guillermo Álvarez-Narciandi
  • María García-Fernández
  • María Elena de Cos Gómez

Recent research papers include:

  • "Unmanned Aerial Vehicle-Based Ground-Penetrating Radar Systems: A review" (2022), published in IEEE Geoscience and Remote Sensing Magazine
  • "Airborne Multi-Channel Ground Penetrating Radar for Improvised Explosive Devices and Landmine Detection" (2020), published in IEEE Access
  • "Array-Based Ground Penetrating Synthetic Aperture Radar on Board an Unmanned Aerial Vehicle for Enhanced Buried Threats Detection" (2023), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Improvements in GPR-SAR imaging focusing and detection capabilities of UAV-mounted GPR systems" (2022), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Towards Turning Smartphones Into mmWave Scanners" (2021), published in IEEE Access

Best Publications

  • Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

    P.J. García Nieto;E. García-Gonzalo;F. Sánchez Lasheras;F.J. de Cos Juez

  • Reconstruction of Equivalent Currents Distribution Over Arbitrary Three-Dimensional Surfaces Based on Integral Equation Algorithms

    Y. Alvarez;F. Las-Heras;M.R. Pino

  • Battery state-of-charge estimator using the SVM technique

    J.C. Álvarez Antón;P.J. García Nieto;F.J. de Cos Juez;F. Sánchez Lasheras

  • A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines

    Celestino Ordóñez;Fernando Sánchez Lasheras;Javier Roca-Pardiñas;Francisco Javier de Cos Juez

  • Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle

    Maria Garcia Fernandez;Yuri Alvarez Lopez;Ana Arboleya Arboleya;Borja Gonzalez Valdes

  • PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study.

    P.J. García Nieto;F. Sánchez Lasheras;E. García-Gonzalo;F.J. de Cos Juez

  • A direct optimization approach for source reconstruction and NF-FF transformation using amplitude-only data

    F. Las-Heras;T.K. Sarkar

  • Forecasting the COMEX copper spot price by means of neural networks and ARIMA models

    Fernando Sánchez Lasheras;Francisco Javier de Cos Juez;Ana Suárez Sánchez;Alicja Krzemień

  • 94 GHz Dual-Reflector Antenna With Reflectarray Subreflector

    Wenfei Hu;M. Arrebola;R. Cahill;J.A. Encinar

  • Antenna Diagnostics and Characterization Using Unmanned Aerial Vehicles

    Maria Garcia-Fernandez;Yuri Alvarez Lopez;Ana Arboleya;Borja Gonzalez-Valdes

  • A Novel Approach for Rcs Reduction using a Combination of Artificial Magnetic Conductors

    María Elena de Cos;Yuri Alvarez-Lopez;Fernando Las Heras Andres

  • Echo identification and cancellation techniques for antenna measurement in non-anechoic test sites

    S. Loredo;M.R. Pino;F. Las-Heras;T.K. Sarkar

  • An Improved Super-Resolution Source Reconstruction Method

    Yu.A. Lopez;F. Las-Heras Andres;M.R. Pino;T.K. Sarkar

  • RFID Technology for Management and Tracking: e-Health Applications.

    Yuri Álvarez López;Jacqueline Franssen;Guillermo Álvarez Narciandi;Janet Pagnozzi

  • Prediction of work-related accidents according to working conditions using support vector machines

    A. Suárez Sánchez;P. Riesgo Fernández;F. Sánchez Lasheras;F.J. de Cos Juez

  • Battery State-of-Charge Estimator Using the MARS Technique

    Juan Carlos Álvarez Antón;Paulino José García Nieto;Francisco Javier de Cos Juez;Fernando Sánchez Lasheras

  • The Sources Reconstruction Method for Amplitude-Only Field Measurements

    Yuri Alvarez;Fernando Las-Heras;Marcos R Pino

  • Wave Scattering by Dielectric and Lossy Materials Using the Modified Equivalent Current Approximation (MECA)

    J G Meana;J Á Martinez-Lorenzo;F Las-Heras;C Rappaport

  • Solution of Electrically Large Problems With Multilevel Characteristic Basis Functions

    J. Laviada;F. Las-Heras;M.R. Pino;R. Mittra

  • Evaluating near-field radiation patterns of commercial antennas

    F. Las-Heras;M.R. Pino;S. Loredo;Y. Alvarez

  • Unmanned Aerial Vehicle-Based Ground-Penetrating Radar Systems: A review

    Unknown

  • Improving Security Screening: A Comparison of Multistatic Radar Configurations for Human Body Imaging

    Borja Gonzalez-Valdes;Yuri Alvarez;Spiros Mantzavinos;Carey M. Rappaport

  • Fourier-Based Imaging for Multistatic Radar Systems

    Yuri Alvarez;Yolanda Rodriguez-Vaqueiro;Borja Gonzalez-Valdes;Spiros Mantzavinos

  • Efficient crosspolar optimization of shaped-beam dual-polarized reflectarrays using full-wave analysis for the antenna element characterization

    Daniel R. Prado;Manuel Arrebola;Marcos R. Pino;Rafael Florencio

  • Sparse Array Optimization Using Simulated Annealing and Compressed Sensing for Near-Field Millimeter Wave Imaging

    Borja Gonzalez-Valdes;Gregory Allan;Yolanda Rodriguez-Vaqueiro;Yuri Alvarez

  • Design of Planar Artificial Magnetic Conductor Ground Plane Using Frequency-Selective Surfaces for Frequencies Below 1 GHz

    Unknown

  • Autonomous Airborne 3D SAR Imaging System for Subsurface Sensing: UWB-GPR on Board a UAV for Landmine and IED Detection

    Maria Garcia-Fernandez;Yuri Alvarez-Lopez;Fernando Las Heras

Frequent Co-Authors

Carey M. Rappaport
Carey M. Rappaport Northeastern University
Tapan K. Sarkar
Tapan K. Sarkar Syracuse University
Jose A. Encinar
Jose A. Encinar Technical University of Madrid
Raj Mittra
Raj Mittra Pennsylvania State University
Antti V. Räisänen
Antti V. Räisänen Aalto University
Paolo Rocca
Paolo Rocca University of Trento
Cyril Luxey
Cyril Luxey Université Côte d'Azur
Andrea Massa
Andrea Massa University of Trento
Julio Bobes
Julio Bobes University of Oviedo
Reza Zoughi
Reza Zoughi Iowa State University

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