World's Best Scientists 2026 revealed!
Konstantinos N. Plataniotis

Konstantinos N. Plataniotis

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Computer Science
Canada
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
79
Citations
25798
World Ranking
555
National Ranking
36

Computer Science

D-Index
88
Citations
30232
World Ranking
684
National Ranking
24

Konstantinos N. Plataniotis 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 Konstantinos N. Plataniotis 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: 600 publications — 90th percentile

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

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

Konstantinos N. Plataniotis 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 Konstantinos N. Plataniotis 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: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2012 - IEEE Fellow For contributions to the theory and application of statistical adaptive learning

Overview

Konstantinos N. Plataniotis is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's work covers a range of topics including Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment, Reinforcement Learning in Robotics, and Bluetooth and Wireless Communication Technologies.

Recent notable papers illustrate the diversity and application of their research. These include:

  • Deep learning and machine vision for food processing: A survey, 2021, Current Research in Food Science
  • COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning, 2021, Scientific Data
  • Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering, 2020, IEEE Internet of Things Journal
  • Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare, 2023, IEEE Transactions on Computational Social Systems
  • BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks, 2020, IEEE Signal Processing Letters

Konstantinos N. Plataniotis has frequently published in several venues, with the highest number of publications appearing in:

  • arXiv (Cornell University) with 84 publications
  • IEEE Signal Processing Magazine with 11 publications
  • IEEE Internet of Things Journal with 10 publications
  • IEEE Access with 10 publications
  • IEEE Systems Journal with 6 publications

The scientist has collaborated extensively with various researchers. Frequent co-authors include:

  • Arash Mohammadi (56 joint publications)
  • Jamshid Abouei (35 joint publications)
  • Mahdi S. Hosseini (25 joint publications)
  • Petros Spachos (24 joint publications)
  • Parnian Afshar (24 joint publications)

In recognition of their contributions, Konstantinos N. Plataniotis was awarded the IEEE Fellow distinction in 2012, specifically for contributions to the theory and application of statistical adaptive learning.

Best Publications

  • Color Image Processing and Applications

    Konstantinos N. Plataniotis;Anastasios N. Venetsanopoulos

  • Face recognition using LDA-based algorithms

    Juwei Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • MPCA: Multilinear Principal Component Analysis of Tensor Objects

    Haiping Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • Face recognition using kernel direct discriminant analysis algorithms

    Juwei Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images.

    Parnian Afshar;Shahin Heidarian;Farnoosh Naderkhani;Anastasia Oikonomou

  • Kernel-Based Positioning in Wireless Local Area Networks

    A. Kushki;K.N. Plataniotis;A.N. Venetsanopoulos

  • Gait recognition: a challenging signal processing technology for biometric identification

    N.V. Boulgouris;D. Hatzinakos;K.N. Plataniotis

  • Brain Tumor Type Classification via Capsule Networks

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis

  • A survey of multilinear subspace learning for tensor data

    Haiping Lu;Konstantinos N. Plataniotis;Anastasios N. Venetsanopoulos

  • Vector filtering for color imaging

    R. Lukac;B. Smolka;K. Martin;K.N. Plataniotis

  • Analysis of human electrocardiogram for biometric recognition

    Yongjin Wang;Foteini Agrafioti;Dimitrios Hatzinakos;Konstantinos N. Plataniotis

  • Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition

    Juwei Lu;K. N. Plataniotis;A. N. Venetsanopoulos

  • Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries

    Parnian Afshar;Konstantinos N. Plataniotis;Arash Mohammadi

  • Color filter arrays: design and performance analysis

    R. Lukac;K.N. Plataniotis

  • Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

    Haiping Lu;How-Lung Eng;Cuntai Guan;Konstantinos N Plataniotis

  • ECG Biometric Recognition Without Fiducial Detection

    K.N. Plataniotis;D. Hatzinakos;J.K.M. Lee

  • Deep learning and machine vision for food processing: A survey.

    Lili Zhu;Petros Spachos;Erica Pensini;Konstantinos N. Plataniotis

  • From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities.

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis;Anastasia Oikonomou

  • From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis;Anastasia Oikonomou

  • Rapid and brief communication: Bit-level based secret sharing for image encryption

    Rastislav Lukac;Konstantinos N. Plataniotis

  • Color Image Processing : Methods and Applications

    Rastislav Lukac;Konstantinos N. Plataniotis

  • Ensemble-based discriminant learning with boosting for face recognition

    J. Lu;K.N. Plataniotis;A.N. Venetsanopoulos;S.Z. Li

Frequent Co-Authors

Anastasios N. Venetsanopoulos
Anastasios N. Venetsanopoulos Toronto Metropolitan University
Subbarayan Pasupathy
Subbarayan Pasupathy University of Toronto
Yong Man Ro
Yong Man Ro Korea Advanced Institute of Science and Technology
Dimitrios Hatzinakos
Dimitrios Hatzinakos University of Toronto
Jae-Young Choi
Jae-Young Choi Sungkyunkwan University
Vincenzo Piuri
Vincenzo Piuri University of Milan
Yingxu Wang
Yingxu Wang University of Calgary
Sam Kwong
Sam Kwong Lingnan University
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Jon Yngve Hardeberg
Jon Yngve Hardeberg Norwegian University of Science and Technology

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Another emerging trend is the rise of what is a competency based masters degree. These programs allow students to progress based on their demonstrated skills and knowledge, rather than time spent in class—ideal for self-motivated learners wanting to tailor their education to real-world competencies.

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