World's Best Scientists 2026 revealed!
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Steven Lawrence Fernandes

Steven Lawrence Fernandes

Karunya University
India

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 36 799 797 32 32 112 4748
Computer Science 37 10840 10538 117 116 108 5282

Steven Lawrence Fernandes publications per year

The chart shows the history of publications by Steven Lawrence Fernandes between 2012 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Steven Lawrence Fernandes published across 15 years, from 2012 to 2026, averaging 8.5 papers a year. Output peaked at 22 publications in 2017. 4 of the 128 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2012 to 2026. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2017. 2012: 2 publications 2013: 5 publications 2014: 2 publications 2015: 8 publications 2016: 17 publications 2017: 22 publications 2018: 14 publications 2019: 16 publications 2020: 13 publications 2021: 4 publications 2022: 10 publications 2023: 5 publications 2024: 6 publications 2025: 3 publications 2026: 1 publication
2012 2026

128 publications in total across all disciplines

View publications per year as a table
Steven Lawrence Fernandes: publications per year, 2012 to 2026
Year Publications
2012 2
2013 5
2014 2
2015 8
2016 17
2017 22
2018 14
2019 16
2020 13
2021 4
2022 10
2023 5
2024 6
2025 3
2026 1
Total 128
Download as CSV

Steven Lawrence Fernandes 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 Steven Lawrence Fernandes 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, 102–111 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: 108 publications — 11th percentile

11% 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
102–111 420 108
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
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
Download as CSV

Steven Lawrence Fernandes 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 Steven Lawrence Fernandes 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, 36–37 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: 37 D-Index — 27th percentile

27% 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 37
38–39 968
40–41 907
42–43 821
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
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Steven Lawrence Fernandes is affiliated with Karunya University in India. Their research primarily spans the fields of Computer Science and Medicine, with a strong focus on Artificial Intelligence and its applications in healthcare.

Fernandes' work covers several subfields including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Ophthalmology. The main topics of their research include AI in cancer detection, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Anomaly Detection Techniques and Applications, Retinal Imaging and Analysis, Digital Imaging for Blood Diseases, and Brain Tumor Detection and Classification.

Their recent papers include the following:

  • AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM (2021, IEEE Sensors Journal)
  • Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset (2020, Pattern Recognition Letters)
  • Deep Rank-Based Average Pooling Network for Covid-19 Recognition (2021, Computers, materials & continua/Computers, materials & continua (Print))
  • Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors (2023, International Journal of E-Health and Medical Communications)
  • SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition (2021, Wireless Communications and Mobile Computing)

Frequent coauthors in Fernandes' publications include:

  • Yudong Zhang
  • Ashwini Kodipalli
  • Santosh Dasar
  • Sumit Kumar Jha
  • Hong Lin

Fernandes has published extensively in several venues, most notably:

  • Diagnostics
  • Pattern Recognition Letters
  • Computers, materials & continua/Computers, materials & continua (Print)
  • Preprints.org
  • IEEE Sensors Journal

In addition to journal articles, Fernandes has contributed to book publications with several recognized academic publishers. These include:

  • Springer International Publishing: Artificial Intelligence in Industrial Applications (2021)
  • Springer Science+Business Media: Disruptive Technologies for Big Data and Cloud Applications (2022)
  • Frontiers Media: Extracting Insights from Digital Public Health Data using Artificial Intelligence (2022)

Best Publications

  • A distinctive approach in brain tumor detection and classification using MRI

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Big data analysis for brain tumor detection: Deep convolutional neural networks

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Steven Lawrence Fernandes;Joel En WeiKoh;Edward J. Ciaccio

  • Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization

    V. Rajinikanth;Suresh Chandra Satapathy;Steven Lawrence Fernandes;S. Nachiappan

  • Classification of focal and non focal EEG using entropies

    N Arunkumar;K Ramkumar;V Venkatraman;Enas Abdulhay

  • A framework for offline signature verification system: Best features selection approach

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Faisal;Mussarat Yasmin

  • A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Hussam Ali

  • Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

    N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

  • Extraction of emotions from multilingual text using intelligent text processing and computational linguistics

    Vinay Kumar Jain;Shishir Kumar;Steven Lawrence Fernandes

  • A novel nonintrusive decision support approach for heart rate measurement

    Steven Lawrence Fernandes;Varadraj Prabhu Gurupur;Nayak Ramesh Sunder;N Arunkumar

  • A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Tanzila Saba

  • AVNC: Attention-based VGG-style network for COVID-19 diagnosis by CBAM

    Shui Hua Wang;Steven Fernandes;Ziquan Zhu;Yu Dong Zhang

  • AUTOMATED ULCER AND BLEEDING CLASSIFICATION FROM WCE IMAGES USING MULTIPLE FEATURES FUSION AND SELECTION

    Amna Liaqat;Muhammad Attique Khan;Muhammad Attique Khan;Jamal Hussain Shah;Muhammad Sharif

  • Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset

    Abhishek Samanta;Aheli Saha;Suresh Chandra Satapathy;Steven Lawrence Fernandes

  • A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

    Steven Lawrence Fernandes;U. John Tanik;V. Rajinikanth;K. Arvind Karthik

  • Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning

    Mudassar Raza;Muhammad Sharif;Mussarat Yasmin;Muhammad Attique Khan

  • Facial expressions classification and false label reduction using LDA and threefold SVM

    Jamal Hussain Shah;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Segmentation and Analysis of Brain Tumor Using Tsallis Entropy and Regularised Level Set

    V. Rajinikanth;Steven Lawrence Fernandes;Bharath Bhushan;Harisha

  • Segmentation of Breast Thermal Images Using Kapur's Entropy and Hidden Markov Random Field

    N. Sri Madhava Raja;V. Rajinikanth;Steven Lawrence Fernandes;Suresh Chandra Satapathy

  • Otsu's Multi-Thresholding and Active Contour Snake Model to Segment Dermoscopy Images

    V. Rajinikanth;N. Sri Madhavaraja;Suresh Chandra Satapathy;Steven Lawrence Fernandes

  • A Hybrid Framework to Evaluate Breast Abnormality Using Infrared Thermal Images

    Steven Lawrence Fernandes;Venkatesan Rajinikanth;Seifedine Kadry

Frequent Co-Authors

Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Muhammad Sharif
Muhammad Sharif COMSATS University Islamabad
Venkatesan Rajinikanth
Venkatesan Rajinikanth Saveetha University
Suresh Chandra Satapathy
Suresh Chandra Satapathy KIIT University
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Seifedine Kadry
Seifedine Kadry Lebanese American University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Nilanjan Dey
Nilanjan Dey Techno International New Town
Tanzila Saba
Tanzila Saba Prince Sultan University

External Links

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Best Scientists Citing Steven Lawrence Fernandes

Venkatesan Rajinikanth

Venkatesan Rajinikanth

Saveetha University

Publications: 78

Muhammad Attique Khan

Muhammad Attique Khan

Prince Mohammad bin Fahd University

Publications: 53

Muhammad Sharif

Muhammad Sharif

King Fahd University of Petroleum and Minerals

Publications: 38

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 30

Tanzila Saba

Tanzila Saba

Prince Sultan University

Publications: 28

Suresh Chandra Satapathy

Suresh Chandra Satapathy

KIIT University

Publications: 25

Muhammad Sharif

Muhammad Sharif

COMSATS University Islamabad

Publications: 23

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 23

Nilanjan Dey

Nilanjan Dey

Techno International New Town

Publications: 21

Mudassar Raza

Mudassar Raza

Namal College

Publications: 20

Mussarat Yasmin

Mussarat Yasmin

University of Gujrat

Publications: 19

Tallha Akram

Tallha Akram

Prince Sattam Bin Abdulaziz University

Publications: 19

Amjad Rehman

Amjad Rehman

Prince Sultan University

Publications: 18

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 14

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 9

David Taniar

David Taniar

Monash University

Publications: 7

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