World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
9181
World Ranking
3895
National Ranking
4

Rytis Maskeliunas 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 Rytis Maskeliunas 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: 308 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Rytis Maskeliunas 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 Rytis Maskeliunas 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: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Rytis Maskeliunas is affiliated with the Kaunas University of Technology in Lithuania and has contributed extensively to research at the intersection of computer science, medicine, and engineering. Their work spans several subfields, including computer vision and pattern recognition, artificial intelligence, information systems, neurology, and radiology, nuclear medicine, and imaging.

Their publications focus on a variety of topics, notably:

  • Human Pose and Action Recognition
  • Brain Tumor Detection and Classification
  • AI in Cancer Detection
  • Voice and Speech Disorders
  • Educational Games and Gamification
  • Speech Recognition and Synthesis
  • Hand Gesture Recognition Systems

Recent papers by Rytis Maskeliunas include:

  • Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model, 2021, Applied Sciences
  • Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM, 2022, Medicina
  • Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization, 2021, Diagnostics
  • Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network, 2021, Diagnostics
  • Serious Games and Gamification in Healthcare: A Meta-Review, 2023, Information

Frequent publication venues for their work include:

  • Sensors
  • Applied Sciences
  • Electronics
  • Annals of Computer Science and Information Systems
  • Information

Collaborations are a notable aspect of their research activity. Regular co-authors include Robertas Damaševičius, Sanjay Misra, Audrius Kulikajevas, Tomas Blažauskas, and Modupe Odusami.

Rytis Maskeliunas has also authored a book published by KTU leidykla "Technologija" eBooks titled Vaizdų apdorojimas Matlab aplinkoje in 2020.

Best Publications

  • Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM

    Unknown

  • Real-time hand gesture recognition based on deep learning YOLOv3 model

    Abdullah Mujahid;Mazhar Javed Awan;Awais Yasin;Mazin Abed Mohammed

  • Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

    Quoc Trung Pham;Xuan Phuc Tran;Sanjay Misra;Rytis Maskeliūnas

  • Consumer-grade EEG devices: are they usable for control tasks?

    Rytis Maskeliunas;Robertas Damasevicius;Ignas Martisius;Mindaugas Vasiljevas

  • Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Robertas Damaševičius

  • Detecting Parkinson's Disease with Sustained Phonation and Speech Signals using Machine Learning Techniques

    Jefferson Almeida;Pedro Pedrosa Rebouças Filho;Tiago Carneiro;Wei Wei

  • Serious Games and Gamification in Healthcare: A Meta-Review

    Unknown

  • Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network.

    Modupe Odusami;Rytis Maskeliūnas;Robertas Damaševičius;Tomas Krilavičius

  • Fuzzy based image edge detection algorithm for blood vessel detection in retinal images

    F. Orujov;R. Maskeliūnas;R. Damaševičius;R. Damaševičius;W. Wei

  • Cassava disease recognition from low-quality images using enhanced data augmentation model and deep learning

    Olusola Oluwakemi Abayomi-Alli;Robertas Damaševičius;Sanjay Misra;Sanjay Misra;Rytis Maskeliūnas;Rytis Maskeliūnas

  • Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning

    Augustas Urbonas;Vidas Raudonis;Rytis Maskeliūnas;Robertas Damaševičius

  • Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals

    Justas Šalkevicius;Robertas Damaševičius;Rytis Maskeliunas;Ilona Laukienė

  • A Review of Internet of Things Technologies for Ambient Assisted Living Environments

    Rytis Maskeliūnas;Robertas Damaševičius;Sagiv Segal

  • Artificial Neural Networks for Educational Data Mining in Higher Education: A Systematic Literature Review

    Emmanuel Okewu;Phillip Adewole;Sanjay Misra;Rytis Maskeliunas

  • Improved CNN Based on Batch Normalization and Adam Optimizer

    Unknown

  • Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion

    Aurelijus Vaitkevičius;Mantas Taroza;Tomas Blažauskas;Robertas Damaševičius

  • Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century: Implications for Human Development

    Ikedinachi A. P. Wogu;Sanjay Misra;Patrick A. Assibong;Esther Fadeke Olu-Owolabi

  • Detection of sitting posture using hierarchical image composition and deep learning

    Audrius Kulikajevas;Rytis Maskeliunas;Robertas Damaševičius

  • Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold

    Olusola Oluwakemi Abayomi-Alli;Robertas Damaševičius;Sanjay Misra;Rytis Maskeliūnas

  • Pixel-Level Fusion Approach with Vision Transformer for Early Detection of Alzheimer’s Disease

    Unknown

  • COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion.

    Muhammad Attique Khan;Majed Alhaisoni;Usman Tariq;Nazar Hussain

  • Hybrid microgrid for microfinance institutions in rural areas – A field demonstration in West Africa

    Esan Ayodele;Sanjay Misra;Sanjay Misra;Robertas Damasevicius;Rytis Maskeliunas

  • Smart irrigation system for environmental sustainability in Africa: An Internet of Everything (IoE) approach.

    Favour Adenugba;Sanjay Misra;Sanjay Misra;Rytis Maskeliūnas;Robertas Damaševičius

  • Removal of Movement Artefact for Mobile EEG Analysis in Sports Exercises

    Egle Butkeviciute;Liepa Bikulciene;Tatjana Sidekerskiene;Tomas Blazauskas

  • Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

    Emmanuel Okewu;Sanjay Misra;Rytis Maskeliūnas;Robertas Damaševičius

  • Embryo development stage prediction algorithm for automated time lapse incubators.

    Darius Dirvanauskas;Rytis Maskeliunas;Vidas Raudonis;Robertas Damasevicius

  • Detection of Speech Impairments Using Cepstrum, Auditory Spectrogram and Wavelet Time Scattering Domain Features

    Andrius Lauraitis;Rytis Maskeliunas;Robertas Damasevicius;Tomas Krilavicius

  • A Smartphone Application for Automated Decision Support in Cognitive Task Based Evaluation of Central Nervous System Motor Disorders

    Andrius Lauraitis;Rytis Maskeliunas;Robertas Damasevicius;Dawid Polap

  • Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce

    Nureni Ayofe Azeez;Tolulope Jide Ayemobola;Sanjay Misra;Rytis Maskeliūnas

  • Identifying phishing attacks in communication networks using URL consistency features

    Nureni Ayofe Azeez;Balikis Bolanle Salaudeen;Sanjay Misra;Robertas Damaševičius

  • A Neural Network Based Expert System for the Diagnosis of Diabetes Mellitus

    Oluwatosin Mayowa Alade;Olaperi Yeside Sowunmi;Sanjay Misra;Rytis Maskeliūnas

  • Distributed Centrality Analysis of Social Network Data Using MapReduce

    Ranjan Kumar Behera;Santanu Kumar Rath;Sanjay Misra;Robertas Damaševičius

  • Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression

    Darius Plonis;Andrius Katkevicius;Antanas Gurskas;Vytautas Urbanavicius

Frequent Co-Authors

Sanjay Misra
Sanjay Misra Institute for Energy Technology
Robertas Damaševičius
Robertas Damaševičius Kaunas University of Technology
Marcin Wozniak
Marcin Wozniak Silesian University of Technology
Alan J. Gow
Alan J. Gow Heriot-Watt University
Liat Ayalon
Liat Ayalon Bar-Ilan University
Rose Anne Kenny
Rose Anne Kenny Trinity College Dublin
Diana Kuh
Diana Kuh University College London
Wei Wei
Wei Wei Qilu University of Technology
P. Eline Slagboom
P. Eline Slagboom Leiden University Medical Center

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