World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9344
World Ranking
6177
National Ranking
61

Ashish Khanna 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 Ashish Khanna 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Ashish Khanna 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 Ashish Khanna sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Best Publications

  • CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

    Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna

  • Identifying pneumonia in chest X-rays: A deep learning approach

    Amit Kumar Jaiswal;Prayag Tiwari;Sachin Kumar;Deepak Gupta

  • Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model

    K. Shankar;Abdul Rahaman Wahab Sait;Deepak Gupta;S.K. Lakshmanaprabu

  • An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

    Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna

  • Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

    Aditya Khamparia;Gurinder Saini;Deepak Gupta;Ashish Khanna

  • Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms

    Bright Keswani;Ambarish G. Mohapatra;Amarjeet Mohanty;Ashish Khanna

  • An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy

    Sachi Nandan Mohanty;K.C. Ramya;S. Sheeba Rani;Deepak Gupta

  • Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network

    Aditya Khamparia;Deepak Gupta;Nhu Gia Nguyen;Ashish Khanna

  • An Effective Training Scheme for Deep Neural Network in Edge Computing Enabled Internet of Medical Things (IoMT) Systems

    Irina Valeryevna Pustokhina;Denis Alexandrovich Pustokhin;Deepak Gupta;Ashish Khanna

  • Haswell: A Family of IA 22 nm Processors

    Nasser A. Kurd;Muntaquim Chowdhury;Edward Burton;Thomas P. Thomas

  • Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

    Deepak Gupta;Arnav Julka;Sanchit Jain;Tushar Aggarwal

  • Improved diagnosis of Parkinson's disease using optimized crow search algorithm

    Deepak Gupta;Shirsh Sundaram;Ashish Khanna;Aboul Ella Hassanien

  • Alzheimer detection using Group Grey Wolf Optimization based features with convolutional classifier

    Shankar K;S K Lakshmanaprabu;Ashish Khanna;Sudeep Tanwar

  • Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment

    Karrar Hameed Abdulkareem;Mazin Abed Mohammed;Ahmad Salim;Muhammad Arif

  • Emotion Recognition and Detection Methods: A Comprehensive Survey

    Anvita Saxena;Ashish Khanna

  • IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification

    Dac Nhuong Le;Velmurugan Subbiah Parvathy;Deepak Gupta;Ashish Khanna

  • Effective Features to Classify Big Data Using Social Internet of Things

    S. K. Lakshmanaprabu;K. Shankar;Ashish Khanna;Deepak Gupta

  • Boosted neural network ensemble classification for lung cancer disease diagnosis

    Jafar A. ALzubi;Balasubramaniyan Bharathikannan;Sudeep Tanwar;Ramachandran Manikandan

  • Automatic Vehicle License Plate Recognition Using Optimal K-Means With Convolutional Neural Network for Intelligent Transportation Systems

    Irina Valeryevna Pustokhina;Denis Alexandrovich Pustokhin;Joel J. P. C. Rodrigues;Deepak Gupta

  • An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning

    Aditya Khamparia;Prakash Kumar Singh;Poonam Rani;Debabrata Samanta

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