World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
6806
World Ranking
7300
National Ranking
15

Adam Glowacz publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Adam Glowacz sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Adam Glowacz D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Adam Glowacz sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Adam Glowacz is affiliated with AGH University of Science and Technology in Poland. Their research primarily focuses on engineering with a significant emphasis on mechanical engineering, electrical and electronic engineering, control and systems engineering, biomedical engineering, and mechanics of materials.

The main topics of their research include:

  • Machine Fault Diagnosis Techniques
  • Engineering Diagnostics and Reliability
  • Gear and Bearing Dynamics Analysis
  • Thermography and Photoacoustic Techniques
  • IoT-based Smart Home Systems
  • Autonomous Vehicle Technology and Safety
  • Advanced machining processes and optimization

Notable recent publications include:

  • Fault diagnosis of electric impact drills using thermal imaging, 2020, Measurement
  • A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor, 2020, Shock and Vibration
  • IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities, 2020, Arabian Journal for Science and Engineering
  • Fault diagnosis of angle grinders and electric impact drills using acoustic signals, 2021, Applied Acoustics
  • A Novel High Gain Wideband MIMO Antenna for 5G Millimeter Wave Applications, 2020, Electronics

Frequent co-authors collaborating with Adam Glowacz include Muhammad Irfan, Wahyu Caesarendra, Saifur Rahman, Tariq Ali, and Maciej Sułowicz. These collaborations reflect a diverse network across various engineering and technology disciplines.

The scientist often publishes in several well-known venues, with a strong presence in Electronics, Sensors, Energies, Materials, and Sustainability. These outlets correspond with the broad interdisciplinary nature of their work.

Adam Glowacz has also contributed to book publications, including a title released by AGH University of Science and Technology: "Nauka - Technika - Technologia. Tom 5" published in 2022.

Best Publications

  • Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

    Adam Glowacz;Witold Glowacz;Zygfryd Glowacz;Jaroslaw Kozik

  • Fault diagnosis of single-phase induction motor based on acoustic signals

    Adam Glowacz

  • Diagnosis of the three-phase induction motor using thermal imaging

    Adam Glowacz;Zygfryd Glowacz

  • A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor

    Omar AlShorman;Muhammad Irfan;Nordin Saad;D. Zhen

  • Fault diagnosis of electric impact drills using thermal imaging

    Adam Glowacz

  • Acoustic based fault diagnosis of three-phase induction motor

    Adam Glowacz

  • IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities

    Tariq Ali;Muhammad Irfan;Abdullah Saeed Alwadie;Adam Glowacz

  • Fault diagnosis of angle grinders and electric impact drills using acoustic signals

    Adam Glowacz;Ryszard Tadeusiewicz;Stanislaw Legutko;Wahyu Caesarendra

  • Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study:

    Omar AlShorman;Fahad Alkahatni;Mahmoud Masadeh;Muhammad Irfan

  • A Novel High Gain Wideband MIMO Antenna for 5G Millimeter Wave Applications

    Daniyal Ali Sehrai;Mujeeb Abdullah;Ahsan Altaf;Saad Hassan Kiani

  • Ventilation Diagnosis of Angle Grinder Using Thermal Imaging.

    Adam Glowacz

  • Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery

    Anil Kumar;Govind Vashishtha;C. P. Gandhi;Yuqing Zhou

  • Diagnosis of stator faults of the single-phase induction motor using acoustic signals

    Adam Glowacz;Zygfryd Glowacz

  • Detection of Deterioration of Three-phase Induction Motor using Vibration Signals

    Adam Glowacz;Witold Glowacz;Jarosław Kozik;Krzysztof Piech

  • Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

    Ayaz Hussain;Umar Draz;Tariq Ali;Saman Tariq

  • Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers

    Adam Glowacz;Zygfryd Glowacz

  • Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine

    Waqas Ahmad;Nasir Ayub;Tariq Ali;Muhammad Irfan

  • VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing

    Anil Kumar;C P Gandhi;Govind Vashishtha;Pradeep Kundu

  • IoT Based Smart Parking System Using Deep Long Short Memory Network

    Ghulam Ali;Tariq Ali;Muhammad Irfan;Umar Draz

  • Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19.

    Muhammad Irfan;Muhammad Aksam Iftikhar;Sana Yasin;Umar Draz

  • Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals

    Adam Glowacz

  • A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images

    Yassir Edrees Almalki;Abdul Qayyum;Muhammad Irfan;Noman Haider

Frequent Co-Authors

Hui Liu
Hui Liu Central South University
Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
Muhammad Awais
Muhammad Awais University of Surrey
Grzegorz Krolczyk
Grzegorz Krolczyk Opole University of Technology
Muhammad Shiraz
Muhammad Shiraz Federal Urdu University
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Haq Nawaz Bhatti
Haq Nawaz Bhatti University of Agriculture Faisalabad
Majed Alharthi
Majed Alharthi King Abdulaziz University

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