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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 8120 7892 39 37 162 5437

Dwarikanath Mahapatra publications per year

The chart shows the history of publications by Dwarikanath Mahapatra between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dwarikanath Mahapatra published across 20 years, from 2006 to 2025, averaging 9.4 papers a year. Output peaked at 20 publications in 2021. 31 of the 187 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2021. 2006: 1 publication 2007: 0 publications 2008: 4 publications 2009: 2 publications 2010: 4 publications 2011: 2 publications 2012: 8 publications 2013: 14 publications 2014: 8 publications 2015: 7 publications 2016: 17 publications 2017: 8 publications 2018: 11 publications 2019: 13 publications 2020: 12 publications 2021: 20 publications 2022: 14 publications 2023: 11 publications 2024: 16 publications 2025: 15 publications
2006 2025

187 publications in total across all disciplines

View publications per year as a table
Dwarikanath Mahapatra: publications per year, 2006 to 2025
Year Publications
2006 1
2007 0
2008 4
2009 2
2010 4
2011 2
2012 8
2013 14
2014 8
2015 7
2016 17
2017 8
2018 11
2019 13
2020 12
2021 20
2022 14
2023 11
2024 16
2025 15
Total 187
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Dwarikanath Mahapatra 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 Dwarikanath Mahapatra 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, 162–171 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: 162 publications — 32nd percentile

32% 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
162–171 534 162
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
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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Dwarikanath Mahapatra 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 Dwarikanath Mahapatra 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, 42–43 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: 43 D-Index — 46th percentile

46% 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 43
44–45 763
46–47 689
48–49 543
50–51 543
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

Dwarikanath Mahapatra is affiliated with the Inception Institute of Artificial Intelligence in the United Arab Emirates. Their research primarily spans the fields of Computer Science and Medicine, focusing on Artificial Intelligence and Radiology, Nuclear Medicine, and Imaging. The scientist's work also covers related subfields such as Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, and Epidemiology.

Their scholarly output includes numerous publications in well-recognized venues, reflecting contributions to a variety of specialized topics within medical imaging and AI-driven diagnosis. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis
  • IEEE Access

Mahapatra's research topics focus on technologically advanced medical applications, particularly in the detection and classification of diseases using AI. Key topics encompass:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • Digital Imaging for Blood Diseases
  • Retinal Imaging and Analysis
  • Lung Cancer Diagnosis and Treatment

They have co-authored publications with several researchers, among whom frequent collaborators are:

  • Zongyuan Ge
  • Behzad Bozorgtabar
  • Mauricio Reyes
  • Jean-Philippe Thiran
  • Lie Ju

Recent notable papers authored by Mahapatra include the following:

  • "Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation" (2021), published in IEEE Transactions on Medical Imaging
  • "Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation" (2022), published in IEEE Transactions on Medical Imaging
  • "Multi-path dilated convolution network for haze and glow removal in nighttime images" (2021), published in The Visual Computer
  • "Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning" (2021), published in IEEE Journal of Biomedical and Health Informatics
  • "Outlier-Based Autism Detection Using Longitudinal Structural MRI" (2022), published in IEEE Access

Mahapatra has contributed to book publications with Springer Science+Business Media, including:

  • "Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops" (2023)
  • "Resource-Efficient Medical Image Analysis" (2022)

Best Publications

  • Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

    Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

  • Image super-resolution using progressive generative adversarial networks for medical image analysis.

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Rahil Garnavi

  • Deformable medical image registration using generative adversarial networks

    Dwarikanath Mahapatra;Bhavna Antony;Suman Sedai;Rahil Garnavi

  • Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Jean-Philippe Thiran;Mauricio Reyes

  • Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts

    Dwarikanath Mahapatra;Joachim M. Buhmann

  • Image Registration Based on Autocorrelation of Local Structure

    Zhang Li;Dwarikanath Mahapatra;Jeroen A. W. Tielbeek;Jaap Stoker

  • Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation

    Unknown

  • Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI

    Dwarikanath Mahapatra;Peter J. Schuffler;Jeroen A. W. Tielbeek;Jesica C. Makanyanga

  • Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration

    D. Mahapatra;Ying Sun

  • Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Sajini Hewavitharanage;Rahil Garnavi

  • Semi-supervised learning and graph cuts for consensus based medical image segmentation

    Dwarikanath Mahapatra

  • Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images

    Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

  • Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts

    Dwarikanath Mahapatra

  • Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors.

    Dwarikanath Mahapatra

  • Motion saliency outweighs other low-level features while watching videos

    Dwarikanath Mahapatra;Stefan Winkler;Shih-Cheng Yen

  • Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks

    Dwarikanath Mahapatra;Zongyuan Ge;Suman Sedai;Rajib Chakravorty

  • Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation

    Dwarikanath Mahapatra

  • Retinal Image Quality Classification Using Saliency Maps and CNNs

    Dwarikanath Mahapatra;Pallab Kanti Roy;Suman Sedai;Rahil Garnavi

  • Training data independent image registration using generative adversarial networks and domain adaptation

    Dwarikanath Mahapatra;Zongyuan Ge

  • Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder

    Suman Sedai;Dwarikanath Mahapatra;Sajini Hewavitharanage;Stefan Maetschke

  • Analyzing Training Information From Random Forests for Improved Image Segmentation

    Dwarikanath Mahapatra

  • MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge

    Ruchika Verma;Neeraj Kumar;Abhijeet Patil;Nikhil Cherian Kurian

  • SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays

    Behzad Bozorgtabar;Dwarikanath Mahapatra;Guillaume Vray;Jean-Philippe Thiran

Frequent Co-Authors

Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Tom Drummond
Tom Drummond Monash University
Jaap Stoker
Jaap Stoker University of Amsterdam
Mauricio Reyes
Mauricio Reyes University of Bern
K. R. Rao
K. R. Rao The University of Texas at Arlington
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Tongliang Liu
Tongliang Liu University of Sydney
Lucas J. van Vliet
Lucas J. van Vliet Delft University of Technology

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