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Tallha Akram
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
38
Citations
4053
World Ranking
736
National Ranking
8

Computer Science

D-Index
40
Citations
5009
World Ranking
9437
National Ranking
35

Tallha Akram 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 Tallha Akram sits on this spectrum.

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 publications 991+

This scientist: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Tallha Akram 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 Tallha Akram sits on this spectrum.

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 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Tallha Akram is affiliated with COMSATS University Islamabad in Pakistan. Their research focuses primarily on the intersection of medicine and computer science, with significant work in subfields including computer vision and pattern recognition, oncology, artificial intelligence, plant science, and epidemiology.

Their main areas of study and research topics include:

  • Cutaneous Melanoma Detection and Management
  • AI in cancer detection
  • Smart Agriculture and AI
  • Nonmelanoma Skin Cancer Studies
  • Spectroscopy and Chemometric Analyses
  • COVID-19 diagnosis using AI
  • Advanced Image and Video Retrieval Techniques

Tallha Akram has contributed to a number of frequently published venues, reflecting a strong presence in both engineering and medical domains. These venues include:

  • Computers, materials & continua/Computers, materials & continua (Print)
  • IEEE Access
  • Diagnostics
  • International Journal of Imaging Systems and Technology
  • Sensors

Their recent publications focus on skin lesion detection and classification, utilizing deep learning and image processing techniques. Selected papers include:

  • Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization, 2021, Diagnostics
  • Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework, 2021, Pattern Recognition Letters
  • Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification, 2021, Computers & Electrical Engineering
  • Multi-Class Skin Lesion Detection and Classification via Teledermatology, 2021, IEEE Journal of Biomedical and Health Informatics
  • A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals, 2022, Sensors

Frequent coauthors of Tallha Akram illustrate collaboration with researchers in related fields, including:

  • Muhammad Attique Khan
  • Syed Rameez Naqvi
  • Majed Alhaisoni
  • Anas Alsuhaibani
  • Muhammad Sharif

Best Publications

  • Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Robertas Damaševičius

  • 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

  • Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

    Muhammad Attique Khan;Tallha Akram;Yu-Dong Zhang;Muhammad Sharif

  • 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

  • Multi-Class Skin Lesion Detection and Classification via Teledermatology

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

  • Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

    Muhammad Attique Khan;Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Mudassar Raza

  • Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification

    Muhammad Attique Khan;Yu-Dong Zhang;Yu-Dong Zhang;Muhammad Sharif;Tallha Akram

  • Developed Newton-Raphson based deep features selection framework for skin lesion recognition

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Syed Ahmad Chan Bukhari

  • A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

    Muhammad Sharif;Muhammad Attique Khan;Tallha Akram;Muhammad Younus Javed

  • License number plate recognition system using entropy-based features selection approach with SVM

    Muhammad Attique Khan;Muhammad Sharif;Muhammad Younus Javed;Tallha Akram

  • An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

    M. Attique Khan;Tallha Akram;Muhammad Sharif;Aamir Shahzad

  • Intelligent fusion-assisted skin lesion localization and classification for smart healthcare

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

  • Lungs nodule detection framework from computed tomography images using support vector machine.

    Sajid A. Khan;Sajid A. Khan;Muhammad Nazir;Muhammad A. Khan;Tanzila Saba

  • A two-stream deep neural network-based intelligent system for complex skin cancer types classification

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Seifedine Kadry

  • An implementation of optimized framework for action classification using multilayers neural network on selected fused features

    Muhammad Attique Khan;Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Muhammad Younus Javed

  • Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion

    Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Tanzila Saba

  • LSTM Neural Network Based Forecasting Model for Wheat Production in Pakistan

    Sajjad Ali Haider;Syed Rameez Naqvi;Tallha Akram;Gulfam Ahmad Umar

  • An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

    Muhammad Attique Khan;Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Kashif Javed

  • Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine.

    Muhammad Attique Khan;Seifedine Nimer Kadry;Yudong Zhang;Tallha Akram

  • Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features.

    Sumair Aziz;Muhammad Umar Khan;Majed Alhaisoni;Tallha Akram

  • Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

    Tallha Akram;Muhammad Attique Khan;Muhammad Sharif;Mussarat Yasmin

Frequent Co-Authors

Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Muhammad Sharif
Muhammad Sharif COMSATS University Islamabad
Tanzila Saba
Tanzila Saba Prince Sultan University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Amjad Rehman
Amjad Rehman Prince Sultan University
Seifedine Kadry
Seifedine Kadry Lebanese American University
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Yudong Zhang
Yudong Zhang University of Leicester
Yunyoung Nam
Yunyoung Nam Soonchunhyang University
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan

External Links

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Best Scientists Citing Tallha Akram

Muhammad Attique Khan

Muhammad Attique Khan

Prince Mohammad bin Fahd University

Publications: 65

Tanzila Saba

Tanzila Saba

Prince Sultan University

Publications: 37

Amjad Rehman

Amjad Rehman

Prince Sultan University

Publications: 30

Muhammad Sharif

Muhammad Sharif

King Fahd University of Petroleum and Minerals

Publications: 28

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 17

Mussarat Yasmin

Mussarat Yasmin

University of Gujrat

Publications: 14

Muhammad Sharif

Muhammad Sharif

COMSATS University Islamabad

Publications: 12

Mudassar Raza

Mudassar Raza

Namal College

Publications: 9

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 9

Yunyoung Nam

Yunyoung Nam

Soonchunhyang University

Publications: 7

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 6

Robertas Damaševičius

Robertas Damaševičius

Kaunas University of Technology

Publications: 6

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 6

Venkatesan Rajinikanth

Venkatesan Rajinikanth

Saveetha University

Publications: 4

Ram Sarkar

Ram Sarkar

Jadavpur University

Publications: 4

Suresh Chandra Satapathy

Suresh Chandra Satapathy

KIIT University

Publications: 4

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