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Anastasios N. Venetsanopoulos

Anastasios N. Venetsanopoulos

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Computer Science
Canada
2025

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Electronics and Electrical Engineering 67 1052 51 539 22900
Computer Science 72 1653 57 588 25391

Anastasios N. Venetsanopoulos publications per year

The chart shows the history of publications by Anastasios N. Venetsanopoulos between 1970 and 2018, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Anastasios N. Venetsanopoulos published across 49 years, from 1970 to 2018, averaging 12.2 papers a year. Output peaked at 32 publications in 2003. 3 of the 597 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1970 to 2018. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2003. 1970: 1 publication 1971: 5 publications 1972: 1 publication 1973: 1 publication 1974: 3 publications 1975: 0 publications 1976: 1 publication 1977: 0 publications 1978: 6 publications 1979: 1 publication 1980: 4 publications 1981: 3 publications 1982: 5 publications 1983: 4 publications 1984: 7 publications 1985: 22 publications 1986: 17 publications 1987: 21 publications 1988: 16 publications 1989: 16 publications 1990: 23 publications 1991: 18 publications 1992: 31 publications 1993: 25 publications 1994: 18 publications 1995: 14 publications 1996: 22 publications 1997: 31 publications 1998: 28 publications 1999: 17 publications 2000: 19 publications 2001: 18 publications 2002: 14 publications 2003: 32 publications 2004: 29 publications 2005: 18 publications 2006: 16 publications 2007: 4 publications 2008: 9 publications 2009: 14 publications 2010: 11 publications 2011: 13 publications 2012: 10 publications 2013: 10 publications 2014: 9 publications 2015: 7 publications 2016: 0 publications 2017: 2 publications 2018: 1 publication
1970 2018

597 publications in total across all disciplines

View publications per year as a table
Anastasios N. Venetsanopoulos: publications per year, 1970 to 2018
Year Publications
1970 1
1971 5
1972 1
1973 1
1974 3
1975 0
1976 1
1977 0
1978 6
1979 1
1980 4
1981 3
1982 5
1983 4
1984 7
1985 22
1986 17
1987 21
1988 16
1989 16
1990 23
1991 18
1992 31
1993 25
1994 18
1995 14
1996 22
1997 31
1998 28
1999 17
2000 19
2001 18
2002 14
2003 32
2004 29
2005 18
2006 16
2007 4
2008 9
2009 14
2010 11
2011 13
2012 10
2013 10
2014 9
2015 7
2016 0
2017 2
2018 1
Total 597
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Anastasios N. Venetsanopoulos 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 Anastasios N. Venetsanopoulos 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, 534–553 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: 539 publications — 87th percentile

87% 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 92 539
554–573 75
574–593 58
594–613 69
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
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Anastasios N. Venetsanopoulos 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 Anastasios N. Venetsanopoulos 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, 67 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: 67 D-Index — 85th percentile

85% 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 67
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
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
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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
  • 2010 - Fellow of the Royal Society of Canada Academy of Science

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Image processing and Algorithm. His Artificial intelligence study incorporates themes from Machine learning and Noise. His Pattern recognition research is multidisciplinary, relying on both Regularization and Multilinear map.

Anastasios N. Venetsanopoulos interconnects Pixel, Adaptive filter and Euclidean distance in the investigation of issues within Image processing. His Adaptive filter research includes themes of Brightness and Signal processing. His biological study spans a wide range of topics, including Electronic engineering, Filter, Detector and Robustness.

His most cited work include:

  • Nonlinear Digital Filters (977 citations)
  • Nonlinear Digital Filters: Principles and Applications (908 citations)
  • Color Image Processing and Applications (818 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Image processing. Artificial intelligence connects with themes related to Filter in his study. Anastasios N. Venetsanopoulos has researched Filter in several fields, including Adaptive filter and Signal processing.

His work carried out in the field of Algorithm brings together such families of science as Digital filter, Mathematical optimization and Control theory. His Digital filter research includes elements of Electronic engineering, Finite impulse response and Realization. His Pattern recognition research incorporates elements of Facial recognition system and Machine learning.

He most often published in these fields:

  • Artificial intelligence (54.08%)
  • Computer vision (36.88%)
  • Algorithm (23.58%)

What were the highlights of his more recent work (between 2005-2018)?

  • Artificial intelligence (54.08%)
  • Pattern recognition (23.94%)
  • Computer vision (36.88%)

In recent papers he was focusing on the following fields of study:

Anastasios N. Venetsanopoulos mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Principal component analysis. His work in Artificial intelligence addresses subjects such as Multilinear map, which are connected to disciplines such as Projection. Anastasios N. Venetsanopoulos combines topics linked to Subspace topology with his work on Pattern recognition.

The study incorporates disciplines such as Mammography and Gait analysis in addition to Computer vision. His studies in Feature extraction integrate themes in fields like Radial basis function kernel, Support vector machine, Contextual image classification, Wavelet and Pattern recognition. While the research belongs to areas of Filter, Anastasios N. Venetsanopoulos spends his time largely on the problem of Noise, intersecting his research to questions surrounding Image processing.

Between 2005 and 2018, his most popular works were:

  • MPCA: Multilinear Principal Component Analysis of Tensor Objects (658 citations)
  • Kernel-Based Positioning in Wireless Local Area Networks (355 citations)
  • A survey of multilinear subspace learning for tensor data (284 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

Anastasios N. Venetsanopoulos spends much of his time researching Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Facial recognition system. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Gait and Multilinear map. His research investigates the connection between Multilinear map and topics such as Principal component analysis that intersect with problems in Projection.

In general Pattern recognition study, his work on Multilinear principal component analysis, Radial basis function kernel, Kernel embedding of distributions and Kernel method often relates to the realm of Context, thereby connecting several areas of interest. His studies deal with areas such as Gait analysis and Matched filter as well as Computer vision. His Edge detection study combines topics in areas such as Image noise, Noise reduction, Color histogram and Robustness.

Best Publications

  • Nonlinear Digital Filters : Principles and Applications

    I. Pitas;A. N. Venetsanopoulos

  • Color Image Processing and Applications

    Konstantinos N. Plataniotis;Anastasios N. Venetsanopoulos

  • Nonlinear Digital Filters

    I. Pitas;A. 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

  • Order statistics in digital image processing

    I. Pitas;A.N. Venetsanopoulos

  • Kernel-Based Positioning in Wireless Local Area Networks

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

  • Vector directional filters-a new class of multichannel image processing filters

    P.E. Trahanias;A.N. Venetsanopoulos

  • 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

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

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

  • Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications

    N. B. Karayiannis;Anastasios N. Venetsanopoulos

  • Directional processing of color images: theory and experimental results

    P.E. Trahanias;D. Karakos;A.N. Venetsanopoulos

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

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

  • Morphological shape decomposition

    I. Pitas;A.N. Venetsanopoulos

  • Nonlinear mean filters in image processing

    I. Pitas;A. Venetsanopoulos

  • Ensemble-based discriminant learning with boosting for face recognition

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

  • Color edge detection using vector order statistics

    P.E. Trahanias;A.N. Venetsanopoulos

  • A Novel Vector-Based Approach to Color Image Retrieval Using a Vector Angular-Based Distance Measure

    D. Androutsos;K.N. Plataniotis;A.N. Venetsanopoulos

Frequent Co-Authors

Konstantinos N. Plataniotis
Konstantinos N. Plataniotis University of Toronto
Ioannis Pitas
Ioannis Pitas Aristotle University of Thessaloniki
Chrysostomos L. Nikias
Chrysostomos L. Nikias University of Southern California
Ling Guan
Ling Guan Toronto Metropolitan University
Dimitrios Hatzinakos
Dimitrios Hatzinakos University of Toronto
Tom Chau
Tom Chau University of Toronto
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Ahmet Enis Cetin
Ahmet Enis Cetin University of Illinois at Chicago
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Spyros G. Tzafestas
Spyros G. Tzafestas National Technical University of Athens

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