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Konstantinos N. Plataniotis

Konstantinos N. Plataniotis

University of Toronto
Canada

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Computer Science
Canada
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 79 555 531 36 34 600 25798
Computer Science 88 684 663 24 20 725 30232

Konstantinos N. Plataniotis publications per year

The chart shows the history of publications by Konstantinos N. Plataniotis between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Konstantinos N. Plataniotis published across 34 years, from 1992 to 2025, averaging 24.3 papers a year. Output peaked at 65 publications in 2021. 83 of the 825 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 65. Peak 65 publications in 2021. 1992: 2 publications 1993: 3 publications 1994: 4 publications 1995: 1 publication 1996: 10 publications 1997: 16 publications 1998: 14 publications 1999: 8 publications 2000: 12 publications 2001: 12 publications 2002: 20 publications 2003: 34 publications 2004: 51 publications 2005: 36 publications 2006: 46 publications 2007: 16 publications 2008: 28 publications 2009: 31 publications 2010: 48 publications 2011: 30 publications 2012: 26 publications 2013: 13 publications 2014: 14 publications 2015: 20 publications 2016: 19 publications 2017: 12 publications 2018: 25 publications 2019: 23 publications 2020: 37 publications 2021: 65 publications 2022: 37 publications 2023: 29 publications 2024: 53 publications 2025: 30 publications
1992 2025

825 publications in total across all disciplines

View publications per year as a table
Konstantinos N. Plataniotis: publications per year, 1992 to 2025
Year Publications
1992 2
1993 3
1994 4
1995 1
1996 10
1997 16
1998 14
1999 8
2000 12
2001 12
2002 20
2003 34
2004 51
2005 36
2006 46
2007 16
2008 28
2009 31
2010 48
2011 30
2012 26
2013 13
2014 14
2015 20
2016 19
2017 12
2018 25
2019 23
2020 37
2021 65
2022 37
2023 29
2024 53
2025 30
Total 825
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 594–613 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69 600
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 79 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22 79
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

External Links

Personal website of Konstantinos N. Plataniotis Google Scholar page

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Related Online Degrees & Career Pathways

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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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David Zhang

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