World's Best Scientists 2026 revealed!
Robertas Damaševičius

Robertas Damaševičius

D-Index & Metrics

Computer Science

D-Index
68
Citations
16322
World Ranking
2108
National Ranking
1

Robertas Damaševičius 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 Robertas Damaševičius 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: 435 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Robertas Damaševičius 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 Robertas Damaševičius 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Robertas Damaševičius is affiliated with Kaunas University of Technology in Lithuania. Their research primarily spans the fields of Computer Science and Medicine, with 532 and 202 publications respectively. The scholar's work extensively focuses on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems, and Neurology.

The main research topics they investigate include:

  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Anomaly Detection Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Blockchain Technology Applications and Security

Their recent publications illustrate a focus on medical imaging and diagnostic applications of deep learning algorithms. Notable papers include:

  • "A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images" (2020, Applied Sciences)
  • "Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists" (2020, Diagnostics)
  • "Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model" (2021, Applied Sciences)
  • "Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion" (2022, Sensors)
  • "Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM" (2022, Medicina)

Frequently collaborating researchers include Rytis Maskeliūnas, Sanjay Misra, Muhammad Attique Khan, Marcin Woźniak, and Mazin Abed Mohammed.

In terms of publication venues, Robertas Damaševičius has contributed extensively to:

  • Electronics (25 publications)
  • Sensors (22 publications)
  • Applied Sciences (20 publications)
  • Diagnostics (15 publications)
  • PeerJ Computer Science (13 publications)

Their academic contributions also extend to book publications. They have authored a book titled "Digital Escape Room Designs in Education," which is published by IGI Global, with the year of publication listed as 2025.

Best Publications

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

    Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta

  • Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists.

    Muhammad Attique Khan;Imran Ashraf;Majed Alhaisoni;Robertas Damaševičius;Robertas Damaševičius

  • 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

  • Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

    Mohamed A. Kassem;Khalid M. Hosny;Robertas Damaševičius;Mohamed Meselhy Eltoukhy

  • An Efficient DenseNet-Based Deep Learning Model for Malware Detection.

    Jeyaprakash Hemalatha;S. Abijah Roseline;Subbiah Geetha;Seifedine Kadry

  • COVID-19 image classification using deep features and fractional-order marine predators algorithm.

    Ahmed T Sahlol;Dalia Yousri;Ahmed A Ewees;Mohammed A A Al-Qaness

  • 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

  • Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine.

    Vivek Lahoura;Harpreet Singh;Ashutosh Aggarwal;Bhisham Sharma

  • Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.

    Zaid Abdi Alkareem Alyasseri;Zaid Abdi Alkareem Alyasseri;Mohammed Azmi Al-Betar;Mohammed Azmi Al-Betar;Iyad Abu Doush;Iyad Abu Doush;Mohammed A. Awadallah;Mohammed A. Awadallah

  • 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

  • Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture

    Zia ur Rehman;Muhammad Attique Khan;Fawad Ahmed;Robertas Damaševičius

  • A neuro-heuristic approach for recognition of lung diseases from X-ray images

    Qiao Ke;Jiangshe Zhang;Wei Wei;Dawid Połap

  • AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.

    Ahmad Almadhor;Hafiz Tayyab Rauf;Muhammad Ikram Ullah Lali;Robertas Damaševičius

  • 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

  • Multi-sink distributed power control algorithm for Cyber-physical-systems in coal mine tunnels

    Wei Wei;Xu Xia;Marcin Wozniak;Xunli Fan

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

    Rytis Maskeliūnas;Robertas Damaševičius;Sagiv Segal

  • A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection

    Farhat Afza;Muhammad Attique Khan;Muhammad Sharif;Seifedine Nimer Kadry

  • A Prototype SSVEP Based Real Time BCI Gaming System

    Ignas Martišius;Robertas Damaševičius

  • An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic-Tent Map.

    Priya Ramasamy;Vidhyapriya Ranganathan;Seifedine Kadry;Robertas Damaševičius

Frequent Co-Authors

Sanjay Misra
Sanjay Misra Institute for Energy Technology
Wei Wei
Wei Wei Qilu University of Technology
Marcin Wozniak
Marcin Wozniak Silesian University of Technology
Rytis Maskeliunas
Rytis Maskeliunas Kaunas University of Technology
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Mazin Abed Mohammed
Mazin Abed Mohammed University of Anbar
Seifedine Kadry
Seifedine Kadry Lebanese American University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology

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