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Computer Science
Saudi Arabia
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 83 914 883 4 4 405 21137

Tanzila Saba publications per year

The chart shows the history of publications by Tanzila Saba between 2009 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tanzila Saba published across 18 years, from 2009 to 2026, averaging 25.6 papers a year. Output peaked at 59 publications in 2019. 22 of the 460 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2009 to 2026. Vertical axis: number of publications, 0 to 59. Peak 59 publications in 2019. 2009: 6 publications 2010: 10 publications 2011: 7 publications 2012: 6 publications 2013: 8 publications 2014: 23 publications 2015: 11 publications 2016: 12 publications 2017: 27 publications 2018: 34 publications 2019: 59 publications 2020: 47 publications 2021: 58 publications 2022: 42 publications 2023: 54 publications 2024: 34 publications 2025: 20 publications 2026: 2 publications
2009 2026

460 publications in total across all disciplines

View publications per year as a table
Tanzila Saba: publications per year, 2009 to 2026
Year Publications
2009 6
2010 10
2011 7
2012 6
2013 8
2014 23
2015 11
2016 12
2017 27
2018 34
2019 59
2020 47
2021 58
2022 42
2023 54
2024 34
2025 20
2026 2
Total 460
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Tanzila Saba 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 Tanzila Saba 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, 402–411 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: 405 publications — 87th percentile

87% 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
402–411 104 405
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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Tanzila Saba 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 Tanzila Saba 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, 82–83 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: 83 D-Index — 94th percentile

94% 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
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 83
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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Research.com Recognitions

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2023 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Tanzila Saba is affiliated with Prince Sultan University in Saudi Arabia and has a primary academic focus in computer science, with over 320 publications in this field. Their research spans significant subfields including computer vision and pattern recognition, artificial intelligence, computer networks and communications, radiology, nuclear medicine and imaging, and information systems.

Their main research topics cover a diverse range of domains such as:

  • IoT and Edge/Fog Computing
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Digital Imaging for Blood Diseases
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Among recent papers authored by Tanzila Saba are:

  • Anomaly-based intrusion detection system for IoT networks through deep learning model (2022), published in Computers & Electrical Engineering
  • Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges (2020), published in Journal of Infection and Public Health

Frequent collaborators include Amjad Rehman, Khalid Haseeb, Saeed Ali Bahaj, Faten S. Alamri, and Tariq Mahmood.

The scientist has published extensively in various venues, with significant numbers of publications appearing in:

  • IEEE Access
  • Microscopy Research and Technique
  • Computers, materials & continua
  • Multimedia Tools and Applications
  • IT Professional

Tanzila Saba has also contributed to book publications, notably with Springer International Publishing and Auerbach Publications eBooks, including works such as Artificial Intelligence, Data Science and Applications (2024) and Explainable Artificial Intelligence in Medical Imaging (2025).

Best Publications

  • Brain tumor detection using fusion of hand crafted and deep learning features

    Tanzila Saba;Ahmed Sameh Mohamed;Mohammed Ahmed El-Affendi;Javeria Amin;Javeria Amin

  • Medical Image Segmentation Methods, Algorithms, and Applications

    Alireza Norouzi;Mohd Shafry Mohd Rahim;Ayman Altameem;Tanzila Saba

  • Classification of acute lymphoblastic leukemia using deep learning

    Amjad Rehman;Naveed Abbas;Tanzila Saba;Syed Ijaz ur Rahman

  • Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

    Amjad Rehman;Muhammad Attique Khan;Tanzila Saba;Zahid Mehmood

  • Brain tumor detection using statistical and machine learning method.

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)

    Sajid Iqbal;M. Usman Ghani;Tanzila Saba;Amjad Rehman

  • Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.

    Tanzila Saba

  • Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

    Tanzila Saba;Muhammad Attique Khan;Amjad Rehman;Souad Larabi Marie-Sainte

  • Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering

    Marriam Nawaz;Zahid Mehmood;Tahira Nazir;Rizwan Ali Naqvi

  • Human action recognition using fusion of multiview and deep features: an application to video surveillance

    Muhammad Attique Khan;Kashif Javed;Sajid Ali Khan;Tanzila Saba

  • Energy Efficient Multipath Routing Protocol for Mobile Ad-Hoc Network Using the Fitness Function

    Aqeel Taha;Raed Alsaqour;Mueen Uddin;Maha Abdelhaq

  • Brain tumor detection and multi-classification using advanced deep learning techniques

    Tariq Sadad;Amjad Rehman;Asim Munir;Tanzila Saba

  • CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

    Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Muhammad Awais

  • Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

    Unknown

  • Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection.

    Muhammad A. Khan;Ikram U. Lali;Amjad Rehman;Mubashar Ishaq

  • Brain tumor detection: a long short-term memory (LSTM)-based learning model

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • Current Techniques for Diabetes Prediction: Review and Case Study

    Souad Larabi-Marie-Sainte;Linah Aburahmah;Rana Almohaini;Tanzila Saba

  • An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.

    Muhammad Nasir;Muhammad Attique Khan;Muhammad Sharif;Ikram Ullah Lali

  • Multi-Model Deep Neural Network based Features Extraction and Optimal Selection Approach for Skin Lesion Classification

    Muhammad Attique Khan;Muhammad Younus Javed;Muhammad Sharif;Tanzila Saba

  • Retraction Note: Implications of E-learning systems and self-efficiency on students outcomes: a model approach

    Tanzila Saba

  • Detection of copy-move image forgery based on discrete cosine transform

    Mohammed Hazim Alkawaz;Ghazali Sulong;Tanzila Saba;Amjad Rehman

Frequent Co-Authors

Amjad Rehman
Amjad Rehman Prince Sultan University
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Mudassar Raza
Mudassar Raza Namal College
Mueen Uddin
Mueen Uddin University of Doha for Science and Technology
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Abid Khan
Abid Khan Aberystwyth University
Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis

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