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Engineering and Technology
Greece
2026

D-Index & Metrics

Engineering and Technology

D-Index
77
Citations
16699
World Ranking
679
National Ranking
2

Panagiotis G. Asteris 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 Panagiotis G. Asteris 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: 246 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Panagiotis G. Asteris 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 Panagiotis G. Asteris 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: 77 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Greece Leader Award
  • 2025 - Research.com Engineering and Technology in Greece Leader Award

Overview

Panagiotis G. Asteris is affiliated with the School of Pedagogical and Technological Education in Greece. Their academic work is concentrated primarily in the field of engineering, with a particular focus on civil and structural engineering. Their research spans several subfields, including mechanics of materials, mechanical engineering, safety, risk, reliability and quality, and building and construction.

The scientist has contributed extensively to topics related to concrete and cement materials research, innovative concrete reinforcement materials, and geotechnical engineering and analysis. Additional areas of focus include infrastructure maintenance and monitoring, concrete corrosion and durability, rock mechanics and modeling, as well as tunneling and rock mechanics.

The following list summarizes main topics of research:

  • Innovative concrete reinforcement materials
  • Infrastructure Maintenance and Monitoring
  • Concrete and Cement Materials Research
  • Rock Mechanics and Modeling
  • Geotechnical Engineering and Analysis
  • Concrete Corrosion and Durability
  • Tunneling and Rock Mechanics

Panagiotis G. Asteris maintains a collaborative network with frequent co-authors including Danial Jahed Armaghani, Ahmed Salih Mohammed, Abidhan Bardhan, Liborio Cavaleri, and Athanasia D. Skentou.

They have published in several venues, with a significant number of articles appearing in Applied Sciences, Construction and Building Materials, Transportation Geotechnics, Neural Computing and Applications, and Soil Dynamics and Earthquake Engineering.

Frequent publication venues include:

  • Applied Sciences
  • Construction and Building Materials
  • Transportation Geotechnics
  • Neural Computing and Applications
  • Soil Dynamics and Earthquake Engineering

Among their recent papers are:

  • Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models, 2021, Cement and Concrete Research
  • A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength, 2020, Neural Computing and Applications
  • A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model, 2020, Engineering With Computers
  • Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete, 2023, Construction and Building Materials
  • Prediction of cement-based mortars compressive strength using machine learning techniques, 2021, Neural Computing and Applications

Best Publications

  • Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

    Panagiotis G. Asteris;Athanasia D. Skentou;Abidhan Bardhan;Pijush Samui

  • Lateral Stiffness of Brick Masonry Infilled Plane Frames

    P. G. Asteris

  • Mathematical Macromodeling of Infilled Frames: State of the Art

    P. G. Asteris;S. T. Antoniou;D. S. Sophianopoulos;C. Z. Chrysostomou

  • Concrete compressive strength using artificial neural networks

    Panagiotis G. Asteris;Vaseilios G. Mokos

  • A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

    Danial Jahed Armaghani;Panagiotis G. Asteris

  • A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

    Jin Duan;Panagiotis G. Asteris;Hoang Nguyen;Xuan-Nam Bui

  • Seismic vulnerability assessment of historical masonry structural systems

    P.G. Asteris;M.P. Chronopoulos;C.Z. Chrysostomou;H. Varum

  • Mathematical micromodeling of infilled frames: State of the art

    P. G. Asteris;Demetrios M Cotsovos;C. Z. Chrysostomou;A. Mohebkhah

  • Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

    Payam Sarir;Jun Chen;Panagiotis G. Asteris;Danial Jahed Armaghani

  • Self-compacting concrete strength prediction using surrogate models

    Panagiotis G. Asteris;Konstantinos G. Kolovos

  • Prediction of concrete materials compressive strength using surrogate models

    Unknown

  • Prediction of the fundamental period of infilled RC frame structures using artificial neural networks

    Panagiotis G. Asteris;Athanasios K. Tsaris;Liborio Cavaleri;Constantinos C. Repapis

  • Prediction of cement-based mortars compressive strength using machine learning techniques

    Panagiotis G. Asteris;Mohammadreza Koopialipoor;Danial Jahed Armaghani;Evgenios A. Kotsonis

  • Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

    Jian Zhou;Panagiotis G. Asteris;Danial Jahed Armaghani;Binh Thai Pham

  • Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate

    Hai Xu;Jian Zhou;Panagiotis G. Asteris;Danial Jahed Armaghani

  • Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

    Unknown

  • Mapping and holistic design of natural hydraulic lime mortars

    Maria Apostolopoulou;Panagiotis G. Asteris;Danial J. Armaghani;Maria G. Douvika

  • Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

    Panagiotis G. Asteris;Mehdi Nikoo

  • Introducing stacking machine learning approaches for the prediction of rock deformation

    Unknown

  • Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials.

    Panagiotis G. Asteris;Panayiotis C. Roussis;Maria G. Douvika

  • Prediction of self-compacting concrete strength using artificial neural networks

    P.G. Asteris;K.G. Kolovos;M.G. Douvika;K. Roinos

  • Finite Element Micro-Modeling of Infilled Frames

    P.G. Asteris

  • On the in-plane properties and capacities of infilled frames

    C.Z. Chrysostomou;P.G. Asteris

Frequent Co-Authors

Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney
Vasilis Sarhosis
Vasilis Sarhosis University of Leeds
Mahdi Hasanipanah
Mahdi Hasanipanah Duy Tan University
Mohammadreza Koopialipoor
Mohammadreza Koopialipoor Amirkabir University of Technology
Paulo B. Lourenço
Paulo B. Lourenço University of Minho
Humberto Varum
Humberto Varum University of Porto
Mahmood Md. Tahir
Mahmood Md. Tahir University of Technology Malaysia
Mohsen Hajihassani
Mohsen Hajihassani Urmia University
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Kypros Pilakoutas
Kypros Pilakoutas University of Sheffield

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