World's Best Scientists 2026 revealed!
Nicola Baldo

Nicola Baldo

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4137
World Ranking
9440
National Ranking
375

Nicola Baldo 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 Nicola Baldo 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Nicola Baldo 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 Nicola Baldo 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Nicola Baldo is affiliated with the University of Udine in Italy with a focus in the field of Engineering. Their research principally spans Civil and Structural Engineering, Building and Construction, Mechanical Engineering, Safety, Risk, Reliability and Quality, and Control and Systems Engineering.

Their work covers several topics with a strong emphasis on:

  • Asphalt Pavement Performance Evaluation
  • Infrastructure Maintenance and Monitoring
  • Innovative Concrete Reinforcement Materials
  • Concrete and Cement Materials Research
  • Traffic and Road Safety
  • Non-Destructive Testing Techniques
  • Recycled Aggregate Concrete Performance

Nicola Baldo's recent publications include:

  • "Improved predictions of asphalt concretes' dynamic modulus and phase angle using decision-tree based categorical boosting model," 2023, Construction and Building Materials
  • "Bituminous Mixtures Experimental Data Modeling Using a Hyperparameters-Optimized Machine Learning Approach," 2021, Applied Sciences
  • "A Machine Learning Approach to Determine Airport Asphalt Concrete Layer Moduli Using Heavy Weight Deflectometer Data," 2021, Sustainability
  • "Stiffness Data of High-Modulus Asphalt Concretes for Road Pavements: Predictive Modeling by Machine-Learning," 2022, Coatings
  • "Foamed Bitumen Mixtures for Road Construction Made with 100% Waste Materials: A Laboratory Study," 2022, Sustainability

Frequent co-authors collaborating with Nicola Baldo include:

  • Fabio Rondinella
  • Jan Valentin
  • Matteo Miani
  • Jan Król
  • Marcin Gajewski

The researcher often publishes in the following venues:

  • Sustainability
  • IOP Conference Series Materials Science and Engineering
  • Applied Sciences
  • Construction and Building Materials
  • Coatings

Best Publications

  • An open source product-oriented LTE network simulator based on ns-3

    Nicola Baldo;Marco Miozzo;Manuel Requena-Esteso;Jaume Nin-Guerrero

  • Experimental evaluation of high performance base course and road base asphalt concrete with electric arc furnace steel slags

    Marco Pasetto;Nicola Baldo

  • Energy-Efficient Routing Schemes for Underwater Acoustic Networks

    M. Zorzi;P. Casari;N. Baldo;A. Harris

  • HetNets Powered by Renewable Energy Sources: Sustainable Next-Generation Cellular Networks

    G. Piro;M. Miozzo;G. Forte;N. Baldo

  • Fuzzy logic for cross-layer optimization in cognitive radio networks

    N. Baldo;M. Zorzi

  • Mix design and performance analysis of asphalt concretes with electric arc furnace slag

    Marco Pasetto;Nicola Baldo

  • ns2-MIRACLE: a modular framework for multi-technology and cross-layer support in network simulator 2

    Nicola Baldo;Federico Maguolo;Marco Miozzo;Michele Rossi

  • Learning and Adaptation in Cognitive Radios Using Neural Networks

    N. Baldo;M. Zorzi

  • Cognitive network access using fuzzy decision making

    N. Baldo;M. Zorzi

  • A lightweight and accurate link abstraction model for the simulation of LTE networks in ns-3

    Marco Mezzavilla;Marco Miozzo;Michele Rossi;Nicola Baldo

  • A Model to Analyze the Energy Savings of Base Station Sleep Mode in LTE HetNets

    Paolo Dini;Marco Miozzo;Nicola Bui;Nicola Baldo

  • A Markov framework for error control techniques based on selective retransmission in video transmission over wireless channels

    L. Badia;N. Baldo;M. Levorato;M. Zorzi

  • A Neural Network Based Cognitive Controller for Dynamic Channel Selection

    N. Baldo;B. R. Tamma;B. S. Manoj;R. R. Rao

  • Performance comparative analysis of stone mastic asphalts with electric arc furnace steel slag: a laboratory evaluation

    Marco Pasetto;Nicola Baldo

  • Spectrum-aware channel and PHY layer modeling for ns3

    Nicola Baldo;Marco Miozzo

  • RTCP feedback based transmission rate control for 3G wireless multimedia streaming

    N. Baldo;U. Horn;M. Kampmann;F. Hartung

  • Cognitive Spectrum Access for Underwater Acoustic Communications

    N. Baldo;P. Casari;M. Zorzi

  • Big Data Empowered Self Organized Networks

    Nicola Baldo;Lorenza Giupponi;Josep Mangues-Bafalluy

  • Miracle: the multi-interface cross-layer extension of ns2

    Nicola Baldo;Marco Miozzo;Federico Guerra;Michele Rossi

  • Dynamic Spectrum Access Using a Network Coded Cognitive Control Channel

    Nicola Baldo;Alfred Asterjadhi;Michele Zorzi

  • Machine learning based handover management for improved QoE in LTE

    Zoraze Ali;Nicola Baldo;Josep Mangues-Bafalluy;Lorenza Giupponi

  • Stiffness modulus and marshall parameters of hot mix asphalts: Laboratory data modeling by artificial neural networks characterized by cross-validation

    Nicola Baldo;Evangelos Manthos;Matteo Miani

  • A cluster formation protocol for cognitive radio ad hoc networks

    Alfred Asterjadhi;Nicola Baldo;Michele Zorzi

  • Dissipated energy analysis of four-point bending test on asphalt concretes made with steel slag and RAP

    Marco Pasetto;Nicola Baldo

  • An open source model for the simulation of LTE handover scenarios and algorithms in ns-3

    Nicola Baldo;Manuel Requena-Esteso;Marco Miozzo;Raymond Kwan

  • A new channel and QoS aware scheduler to enhance the capacity of voice over LTE systems

    Biljana Bojovic;Nicola Baldo

  • Implementation and validation of LTE downlink schedulers for ns-3

    Dizhi Zhou;Nicola Baldo;Marco Miozzo

  • An LTE module for the ns-3 network simulator

    Giuseppe Piro;Nicola Baldo;Marco Miozzo

  • ns2-MIRACLE: a Modular Framework for Multi-Technology and Cross-Layer Support in Network Simulator 2

    Nicola Baldo;Federico Maguolo;Marco Miozzo;Michele Rossi

Frequent Co-Authors

Michele Zorzi
Michele Zorzi University of Padua
Michele Rossi
Michele Rossi University of Padua
Marco Zorzi
Marco Zorzi University of Padua
Paolo Casari
Paolo Casari University of Trento
Andrea Marini
Andrea Marini University of Udine
Ramesh R. Rao
Ramesh R. Rao University of California, San Diego
Giuseppe Piro
Giuseppe Piro Polytechnic University of Bari
Andrea Zanella
Andrea Zanella University of Padua
Simone Merlin
Simone Merlin Qualcomm (United States)
Ricardo Martinez
Ricardo Martinez Huawei Technologies (China)

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