World's Best Scientists 2026 revealed!
Alex Alexandridis

Alex Alexandridis

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
3239
World Ranking
9615
National Ranking
85

Alex Alexandridis 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 Alex Alexandridis 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: 77 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Alex Alexandridis 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 Alex Alexandridis 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Alex Alexandridis is affiliated with the University of West Attica in Greece. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on Control and Systems Engineering, Electrical and Electronic Engineering, and Artificial Intelligence. Additional areas of study include Computer Vision and Pattern Recognition as well as Civil and Structural Engineering.

The main topics addressed in their work include Energy Load and Power Forecasting, Advanced Control Systems Optimization, Smart Grid Energy Management, Wastewater Treatment and Nitrogen Removal, Fault Detection and Control Systems, Optimal Power Flow Distribution, and Adaptive Control of Nonlinear Systems.

Alexandridis has published in several scientific journals, with frequent appearances in Sensors, Applied Soft Computing, Computers & Chemical Engineering, Journal of Process Control, and Renewable Energy.

Their recent papers include:

  • Wind turbine power curve modeling using radial basis function neural networks and tabu search (2020) published in Renewable Energy
  • Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications (2021) published in Renewable and Sustainable Energy Reviews
  • Active vehicle suspension control using road preview model predictive control and radial basis function networks (2022) published in Applied Soft Computing
  • A cooperative particle swarm optimization approach for tuning an MPC-based quadrotor trajectory tracking scheme (2022) published in Aerospace Science and Technology
  • Coverage and k-Coverage Optimization in Wireless Sensor Networks Using Computational Intelligence Methods: A Comparative Study (2020) published in Electronics

Alexandridis collaborates frequently with other researchers. Their common coauthors include:

  • Haralambos Sarimveis
  • Myron Papadimitrakis
  • Despina Karamichailidou
  • Μάριος Στογιάννος
  • Elias N. Zois

Best Publications

  • Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing

    Philip Doganis;Alex Alexandridis;Panagiotis Patrinos;Haralambos Sarimveis

  • A cellular automata model for forest fire spread prediction : The case of the wildfire that swept through Spetses Island in 1990

    Alex Alexandridis;D. Vakalis;Constantinos I. Siettos;George V. Bafas

  • A new algorithm for online structure and parameter adaptation of RBF networks

    Alex Alexandridis;Haralambos Sarimveis;George Bafas

  • A Fast and Efficient Algorithm for Training Radial Basis Function Neural Networks Based on a Fuzzy Partition of the Input Space

    Haralambos Sarimveis;Alex Alexandridis;George Tsekouras;George Bafas

  • Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization

    A. Alexandridis;E. Chondrodima;H. Sarimveis

  • A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms

    Haralambos Sarimveis;Alex Alexandridis;Stefanos Mazarakis;George V. Bafas

  • Wind turbine power curve modeling using radial basis function neural networks and tabu search

    Despina Karamichailidou;Vasiliki Kaloutsa;Alex Alexandridis

  • Prediction of high weight polymers glass transition temperature using RBF neural networks

    Antreas Afantitis;Georgia Melagraki;Kalliopi Makridima;Alex Alexandridis

  • A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation

    D Vakalis;H Sarimveis;C Kiranoudis;A Alexandridis

  • Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications

    M. Papadimitrakis;N. Giamarelos;M. Stogiannos;E.N. Zois

  • A fast training algorithm for RBF networks based on subtractive clustering

    Haralambos Sarimveis;Alex Alexandridis;George V. Bafas

  • A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models

    Alex Alexandridis;Panagiotis Patrinos;Haralambos Sarimveis;George Tsekouras

  • A classification technique based on radial basis function neural networks

    Haralambos Sarimveis;Philip Doganis;Alex Alexandridis

  • Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics

    A. Alexandridis;L. Russo;D. Vakalis;G. V. Bafas

  • A neural network approach to the prediction of diesel fuel lubricity

    D.M. Korres;G. Anastopoulos;E. Lois;A. Alexandridis

  • EVOLVING RBF NEURAL NETWORKS FOR ADAPTIVE SOFT-SENSOR DESIGN

    Alex Alexandridis

  • A GIS based operational system for wildland fire crisis management II. System architecture and case studies

    D Vakalis;H Sarimveis;C.T Kiranoudis;A Alexandridis

  • Coverage and k-Coverage Optimization in Wireless Sensor Networks Using Computational Intelligence Methods: A Comparative Study

    Konstantinos Tarnaris;Ioanna Preka;Dionisis Kandris;Alex Alexandridis

  • Cooperative learning for radial basis function networks using particle swarm optimization

    Alex Alexandridis;Eva Chondrodima;Haralambos Sarimveis

  • Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution

    Unknown

  • Nonlinear adaptive model predictive control based on self-correcting neural network models

    Alex Alexandridis;Haralambos Sarimveis

Frequent Co-Authors

Haralambos Sarimveis
Haralambos Sarimveis National Technical University of Athens
Chris T. Kiranoudis
Chris T. Kiranoudis National Technical University of Athens
Andreas G. Boudouvis
Andreas G. Boudouvis National Technical University of Athens
Filippos Vallianatos
Filippos Vallianatos National and Kapodistrian University of Athens
Ch. Tsitouras
Ch. Tsitouras National and Kapodistrian University of Athens

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Engineering and Technology open the door to many interdisciplinary career options. If you're considering enhancing your expertise or broadening your career prospects, exploring online degree pathways can be a smart move.

For those interested in the business side of technology, online finance degrees offer a deep dive into financial principles and management. Pairing technical skills with financial knowledge can make you a valuable asset to tech-driven companies.

If leadership or entrepreneurship aligns with your career goals, consider accelerated MBA programs. These programs can be completed quickly online, giving you advanced business expertise while you continue working or pursuing your engineering studies.

Technical professionals often interact with legal and regulatory matters. Paralegal online programs and accredited bookkeeping courses are excellent for building specialized skills in legal compliance or financial recordkeeping, both valued in engineering and technology fields.

Blending your engineering background with complementary credentials can help you stand out, opening doors to positions in project management, tech entrepreneurship, finance, and beyond.

Best Scientists Citing Alex Alexandridis

Trending Scientists

Recently Published Articles