World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5270 5122 30 30 420 12696

Nikolaos Doulamis publications per year

The chart shows the history of publications by Nikolaos Doulamis between 1961 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nikolaos Doulamis published across 66 years, from 1961 to 2026, averaging 6.9 papers a year. Output peaked at 46 publications in 2022. 8 of the 457 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1961 to 2026. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2022. 1961: 1 publication 1962: 0 publications 1963: 0 publications 1964: 0 publications 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 3 publications 1997: 3 publications 1998: 9 publications 1999: 17 publications 2000: 19 publications 2001: 13 publications 2002: 18 publications 2003: 10 publications 2004: 7 publications 2005: 7 publications 2006: 4 publications 2007: 10 publications 2008: 12 publications 2009: 12 publications 2010: 8 publications 2011: 6 publications 2012: 9 publications 2013: 15 publications 2014: 11 publications 2015: 16 publications 2016: 18 publications 2017: 15 publications 2018: 27 publications 2019: 18 publications 2020: 32 publications 2021: 22 publications 2022: 46 publications 2023: 29 publications 2024: 31 publications 2025: 7 publications 2026: 1 publication
1961 2026

457 publications in total across all disciplines

View publications per year as a table
Nikolaos Doulamis: publications per year, 1961 to 2026
Year Publications
1961 1
1962 0
1963 0
1964 0
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 3
1997 3
1998 9
1999 17
2000 19
2001 13
2002 18
2003 10
2004 7
2005 7
2006 4
2007 10
2008 12
2009 12
2010 8
2011 6
2012 9
2013 15
2014 11
2015 16
2016 18
2017 15
2018 27
2019 18
2020 32
2021 22
2022 46
2023 29
2024 31
2025 7
2026 1
Total 457
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Nikolaos Doulamis 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 Nikolaos Doulamis sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 412–421 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 420 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94 420
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Nikolaos Doulamis 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 Nikolaos Doulamis sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 50–51 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543 51
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image segmentation, Artificial neural network and Feature vector. The various areas that he examines in his Artificial intelligence study include Machine learning and Pattern recognition. His work in Computer vision covers topics such as Cluster analysis which are related to areas like Image retrieval, 3D reconstruction and Outlier.

His Image segmentation research incorporates elements of Transform coding and Data compression. His Artificial neural network research is multidisciplinary, incorporating perspectives in Network planning and design, Network traffic simulation, Network traffic control, Telecommunications network and Internet Protocol. His work carried out in the field of Deep learning brings together such families of science as Convolutional neural network and Support vector machine.

His most cited work include:

  • Deep Learning for Computer Vision: A Brief Review. (600 citations)
  • Deep supervised learning for hyperspectral data classification through convolutional neural networks (328 citations)
  • Enabling Applications on the Grid: A Gridlab Overview (143 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Deep learning and Artificial neural network. Artificial intelligence is frequently linked to Machine learning in his study. His Computer vision study frequently intersects with other fields, such as Automatic summarization.

His work on Feature vector, Hyperspectral imaging and Pattern recognition as part of general Pattern recognition study is frequently linked to Tensor, bridging the gap between disciplines. Much of his study explores Deep learning relationship to Pixel. His Multiview Video Coding research incorporates themes from Motion compensation, Block-matching algorithm and Video compression picture types.

He most often published in these fields:

  • Artificial intelligence (56.74%)
  • Computer vision (27.27%)
  • Pattern recognition (21.94%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (56.74%)
  • Deep learning (15.67%)
  • Pattern recognition (21.94%)

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

His primary areas of study are Artificial intelligence, Deep learning, Pattern recognition, Convolutional neural network and Energy. He has researched Artificial intelligence in several fields, including Machine learning, Layer and Computer vision. Nikolaos Doulamis works mostly in the field of Computer vision, limiting it down to topics relating to Auto encoders and, in certain cases, Motion and Automatic summarization.

His Deep learning research is multidisciplinary, incorporating elements of Segmentation, Identification, Pixel, Filter and Hidden Markov model. His work in Pattern recognition addresses subjects such as Image, which are connected to disciplines such as Cluster analysis. In his study, Noise, Support vector machine and Lidar is inextricably linked to Robustness, which falls within the broad field of Convolutional neural network.

Between 2018 and 2021, his most popular works were:

  • Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing (29 citations)
  • Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring (22 citations)
  • Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction. (21 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

His main research concerns Artificial intelligence, Deep learning, Convolutional neural network, Machine learning and Energy. His Artificial intelligence research includes elements of Critical infrastructure, Intangible cultural heritage and Pattern recognition. His work in the fields of Segmentation and Contour segmentation overlaps with other areas such as Fusion and Corrosion.

Nikolaos Doulamis combines subjects such as Computer security, Pixel and Hidden Markov model with his study of Deep learning. The Convolutional neural network study combines topics in areas such as Training set, Noise, Real-time computing, Heuristic and Robustness. His Machine learning research focuses on Artificial neural network in particular.

Best Publications

  • Deep Learning for Computer Vision: A Brief Review.

    Athanasios Voulodimos;Nikolaos Doulamis;Anastasios D. Doulamis;Eftychios Protopapadakis

  • Deep supervised learning for hyperspectral data classification through convolutional neural networks

    Konstantinos Makantasis;Konstantinos Karantzalos;Anastasios Doulamis;Nikolaos Doulamis

  • Enabling Applications on the Grid: A Gridlab Overview

    Gabrielle Allen;Tom Goodale;Thomas Radke;Michael Russell

  • Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing

    Eftychios Protopapadakis;Athanasios Voulodimos;Anastasios D. Doulamis;Nikolaos Doulamis

  • Deep Convolutional Neural Networks for efficient vision based tunnel inspection

    Konstantinos Makantasis;Eftychios Protopapadakis;Anastasios Doulamis;Nikolaos Doulamis

  • Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models

    Maria Kaselimi;Nikolaos Doulamis;Athanasios Voulodimos;Eftychios Protopapadakis

  • Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP

    Unknown

  • A fuzzy video content representation for video summarization and content-based retrieval

    Anastasios D. Doulamis;Nikolaos D. Doulamis;Stefanos D. Kollias

  • On-line retrainable neural networks: improving the performance of neural networks in image analysis problems

    A.D. Doulamis;N.D. Doulamis;S.D. Kollias

  • Low bit-rate coding of image sequences using adaptive regions of interest

    N. Doulamis;A. Doulamis;D. Kalogeras;S. Kollias

  • Efficient summarization of stereoscopic video sequences

    N.D. Doulamis;A.D. Doulamis;Y.S. Avrithis;K.S. Ntalianis

  • An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources

    A.D. Doulamis;N.D. Doulamis;S.D. Kollias

  • Fair Scheduling Algorithms in Grids

    N.D. Doulamis;A.D. Doulamis;E.A. Varvarigos;T.A. Varvarigou

  • A Stochastic Framework for Optimal Key Frame Extraction from MPEG Video Databases

    Yannis S Avrithis;Anastasios D Doulamis;Nikolaos D Doulamis;Stefanos D Kollias

  • Tensor-Based Classification Models for Hyperspectral Data Analysis

    Konstantinos Makantasis;Anastasios D. Doulamis;Nikolaos D. Doulamis;Antonis Nikitakis

  • Tensor-Based Classifiers for Hyperspectral Data Analysis.

    Konstantinos Makantasis;Anastasios D. Doulamis;Nikolaos Doulamis;Antonis Nikitakis

  • Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring

    Maria Kaselimi;Nikolaos Doulamis;Anastasios Doulamis;Athanasios Voulodimos

  • A service oriented architecture for decision support systems in environmental crisis management

    Vassilios Vescoukis;Nikolaos Doulamis;Sofia Karagiorgou

  • Evaluation of relevance feedback schemes in content-based in retrieval systems

    Nikolaos D. Doulamis;Anastasios D. Doulamis

  • Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction.

    George Kopsiaftis;Eftychios Protopapadakis;Athanasios Voulodimos;Nikolaos Doulamis

  • A novel iron loss reduction technique for distribution transformers based on a combined genetic algorithm - neural network approach

    P.S. Georgilakis;N.D. Doulamis;A.D. Doulamis;N.D. Hatziargyriou

  • A stochastic framework for optimal key frame extraction from MPEG video databases

    N.D. Doulamis;A.D. Doulamis;Y. Avrithis;S.D. Kollias

Frequent Co-Authors

Anastasios Doulamis
Anastasios Doulamis National Technical University of Athens
Stefanos Kollias
Stefanos Kollias National Technical University of Athens
Theodora Varvarigou
Theodora Varvarigou National Technical University of Athens
Emmanouel Varvarigos
Emmanouel Varvarigos National Technical University of Athens
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Pavlos S. Georgilakis
Pavlos S. Georgilakis National Technical University of Athens
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Mark S. Nixon
Mark S. Nixon University of Southampton
Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
Thomas B. Moeslund
Thomas B. Moeslund Aalborg University

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