World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
6313
World Ranking
5295
National Ranking
271

Ivan Glesk 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 Ivan Glesk 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: 356 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Ivan Glesk 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 Ivan Glesk 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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Ivan Glesk is affiliated with the University of Strathclyde in the United Kingdom. Their research primarily focuses on Engineering, with substantial contributions in Electrical and Electronic Engineering, Atomic and Molecular Physics and Optics, Artificial Intelligence, Building and Construction, and Renewable Energy, Sustainability and the Environment.

Their work covers several key topics, including:

  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Photonic and Optical Devices
  • Advanced Fiber Optic Sensors
  • Advanced Fiber Laser Technologies
  • Building Energy and Comfort Optimization
  • Energy Efficiency and Management

Glesk has published extensively in several academic journals. The most frequent publication venues include:

  • Sensors
  • Applied Energy
  • Automation in Construction
  • Nanomaterials
  • Journal of Lightwave Technology

Among recent papers authored or co-authored by Glesk are:

  • Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making, 2020, Applied Energy
  • Data driven model improved by multi-objective optimisation for prediction of building energy loads, 2020, Automation in Construction
  • High-Efficiency Metamaterial-Engineered Grating Couplers for Silicon Nitride Photonics, 2024, Nanomaterials
  • Beyond 5G Fronthaul Based on FSO Using Spread Spectrum Codes and Graphene Modulators, 2023, Sensors
  • Impact of Wind Gust on High-Speed Characteristics of Polarization Mode Dispersion in Optical Power Ground Wire Cables, 2020, Sensors

Frequent co-authors collaborating with Glesk include:

  • Jozef Dubovan
  • Daniel Benedikovič
  • Anderson L. Sanches
  • Gabriel Cibira
  • Saleh Seyedzadeh

Best Publications

  • A terahertz optical asymmetric demultiplexer (TOAD)

    J.P. Sokoloff;P.R. Prucnal;I. Glesk;M. Kane

  • Machine learning for estimation of building energy consumption and performance: a review

    Saleh Seyedzadeh;Farzad Pour Rahimian;Ivan Glesk;Marc Roper

  • Tuning machine learning models for prediction of building energy loads

    Saleh Seyedzadeh;Farzad Pour Rahimian;Parag Rastogi;Ivan Glesk

  • A widely tunable narrow linewidth semiconductor fiber ring laser

    Deyu Zhou;P.R. Prucnal;I. Glesk

  • Demonstration of all-optical demultiplexing of TDM data at 250 Gbit/s

    I. Glesk;J. P. Sokoloff;P. R. Prucnal

  • All-optical data format conversion between RZ and NRZ based on a Mach-Zehnder interferometric wavelength converter

    Lei Xu;B.C. Wang;V. Baby;I. Glesk

  • All-optical address recognition and self-routing in a 250 Gbit/s packet-switched network

    I. Glesk;J. P. Solokoff;P. R. Prucnal

  • Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making

    Saleh Seyedzadeh;Farzad Pour Rahimian;Stephen Oliver;Sergio Rodriguez

  • Performance of a 50 Gbit/s optical time domain multiplexed system using a terahertz optical asymmetric demultiplexer

    J.P. Sokoloff;I. Glesk;P.R. Prucnal;R.K. Boncek

  • Comparison of Sagnac and Mach-Zehnder ultrafast all-optical interferometric switches based on a semiconductor resonant optical nonlinearity.

    K. I. Kang;T. G. Chang;I. Glesk;Paul Richard Prucnal

  • Observation of temporal vector soliton propagation and collision in birefringent fiber

    Darren Rand;Ivan Glesk;Camille Sophie Brès;Daniel A. Nolan

  • Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses

    Neha Mathur;Ivan Glesk;Arjan Buis

  • Subwavelength grating filtering devices.

    Junjia Wang;Ivan Glesk;Lawrence R. Chen

  • Subwavelength grating enabled on-chip ultra-compact optical true time delay line.

    Junjia Wang;Reza Ashrafi;Rhys Adams;Ivan Glesk

  • Data driven model improved by multi-objective optimisation for prediction of building energy loads

    Saleh Seyedzadeh;Farzad Pour Rahimian;Farzad Pour Rahimian;Stephen Oliver;Ivan Glesk

  • A novel fast optical switch based on two cascaded Terahertz Optical Asymmetric Demultiplexers (TOAD).

    Bing C. Wang;Varghese Baby;Wilson Tong;Lei Xu

  • Unbalanced TOAD for optical data and clock separation in self-clocked transparent OTDM networks

    K.-L. Deng;I. Glesk;K.I. Kang;P.R. Prucnal

  • Asymmetric optical loop mirror: analysis of an all-optical switch

    Michael G. Kane;Ivan Glesk;Jason P. Sokoloff;Paul R. Prucnal

  • Experimental demonstration and scalability analysis of a four-node 102-Gchip/s fast frequency-hopping time-spreading optical CDMA network

    V. Baby;I. Glesk;R.J. Runser;R. Fischer

  • Comparison of three nonlinear interferometric optical switch geometries

    Paul Toliver;Robert J. Runser;Ivan Glesk;Paul Richard Prucnal

  • Routing of 100 Gb/s words in a packet-switched optical networking demonstration (POND) node

    P. Toliver;I. Glesk;R.J. Runser;Kung-Li Deng

Frequent Co-Authors

Paul R. Prucnal
Paul R. Prucnal Princeton University
Ivan Andonovic
Ivan Andonovic University of Strathclyde
Lawrence R. Chen
Lawrence R. Chen McGill University
Ting Wang
Ting Wang Washington University in St. Louis
Michael J. Strain
Michael J. Strain University of Strathclyde
Pavel Cheben
Pavel Cheben National Research Council Canada
Ying-Sheng Huang
Ying-Sheng Huang National Taiwan University of Science and Technology
Jens H. Schmid
Jens H. Schmid National Research Council Canada
Glenn S. Diskin
Glenn S. Diskin Langley Research Center
Stephen R. Forrest
Stephen R. Forrest University of Michigan–Ann Arbor

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