World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10085
World Ranking
5353
National Ranking
48

Asif Ekbal 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 Asif Ekbal 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: 448 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Asif Ekbal 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 Asif Ekbal 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Asif Ekbal is affiliated with the Indian Institute of Technology Patna in India. Their primary field of study is Computer Science, with a substantial focus on various subfields such as Artificial Intelligence, Information Systems, Sociology and Political Science, Social Psychology, and Computer Vision and Pattern Recognition.

The research topics frequently addressed by Asif Ekbal include:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Misinformation and Its Impacts
  • Hate Speech and Cyberbullying Detection
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques

Asif Ekbal has published extensively in notable venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • Knowledge-Based Systems
  • Multimedia Tools and Applications
  • ACM Transactions on Asian and Low-Resource Language Information Processing

Some of the recent research papers authored or coauthored by Asif Ekbal include:

  • "How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]", 2020, IEEE Computational Intelligence Magazine
  • "A deep neural network based multi-task learning approach to hate speech detection", 2020, Knowledge-Based Systems
  • "AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection", 2021, Expert Systems with Applications
  • "Multi-task learning for aspect term extraction and aspect sentiment classification", 2020, Neurocomputing
  • "A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes", 2021, Cognitive Computation

Frequent coauthors collaborating with Asif Ekbal are:

  • Pushpak Bhattacharyya
  • Mauajama Firdaus
  • Tirthankar Ghosal
  • Soumitra Ghosh
  • Gopendra Vikram Singh

Regarding scholarly books, Asif Ekbal has contributed to multiple volumes mainly published by Springer Science+Business Media. These include several editions of "Neural Information Processing" released in 2023. Additionally, there is a publication titled "Dive into Misinformation Detection" published in 2024 as part of The "information retrieval series".

Best Publications

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Fighting an Infodemic: COVID-19 Fake News Dataset.

    Parth Patwa;Shivam Sharma;Srinivas Pykl;Vineeth Guptha

  • How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

    Shad Akhtar;Asif Ekbal;Erik Cambria

  • Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

    Shad Akhtar;Dushyant Singh Chauhan;Deepanway Ghosal;Soujanya Poria

  • Feature selection and ensemble construction

    Shad Akhtar;Deepak Gupta;Asif Ekbal;Pushpak Bhattacharyya

  • Contextual Inter-modal Attention for Multi-modal Sentiment Analysis

    Deepanway Ghosal;Shad Akhtar;Dushyant Chauhan;Soujanya Poria

  • Named Entity Recognition using Support Vector Machine: A Language Independent Approach

    Asif Ekbal;Sivaji Bandyopadhyay

  • A deep neural network based multi-task learning approach to hate speech detection

    Prashant Kapil;Asif Ekbal

  • Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition

    Sriparna Saha;Asif Ekbal

  • Bengali Named Entity Recognition Using Support Vector Machine

    Asif Ekbal;Sivaji Bandyopadhyay

  • Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

    Dushyant Singh Chauhan;Dhanush S R;Asif Ekbal;Pushpak Bhattacharyya

  • IARM: Inter-aspect relation modeling with memory networks in aspect-based sentiment analysis

    Navonil Majumder;Soujanya Poria;Alexander Gelbukh;Shad Akhtar

  • AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection

    Rina Kumari;Asif Ekbal

  • Multi-task learning for aspect term extraction and aspect sentiment classification

    Shad Akhtar;Tarun Garg;Asif Ekbal

  • All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework

    Shad Akhtar;Deepanway Ghosal;Asif Ekbal;Pushpak Bhattacharyya

  • A Hybrid Deep Learning Architecture for Sentiment Analysis

    Shad Akhtar;Ayush Kumar;Asif Ekbal;Pushpak Bhattacharyya

  • Language Independent Named Entity Recognition in Indian Languages

    Asif Ekbal;Rejwanul Haque;Amitava Das;Venkateswarlu Poka

  • Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding

    Zishan Ahmad;Raghav Jindal;Asif Ekbal;Pushpak Bhattachharyya

  • A Modified Joint Source-Channel Model for Transliteration

    Asif Ekbal;Sudip Kumar Naskar;Sivaji Bandyopadhyay

  • A web-based Bengali news corpus for named entity recognition

    Asif Ekbal;Sivaji Bandyopadhyay

  • Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts

    Parth Patwa;Mohit Bhardwaj;Vineeth Guptha;Gitanjali Kumari

  • A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis

    Shad Akhtar;Abhishek Kumar;Deepanway Ghosal;Asif Ekbal

  • Fighting an Infodemic: COVID-19 Fake News Dataset

    Parth Patwa;Shivam Sharma;Shivam Sharma;Srinivas Pykl;Vineeth Guptha

Frequent Co-Authors

Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna
Sivaji Bandyopadhyay
Sivaji Bandyopadhyay Jadavpur University
Massimo Poesio
Massimo Poesio Queen Mary University of London
Soujanya Poria
Soujanya Poria Nanyang Technological University
Andy Way
Andy Way Dublin City University
Sadao Kurohashi
Sadao Kurohashi Kyoto University
Chris Biemann
Chris Biemann Universität Hamburg
Sanghamitra Bandyopadhyay
Sanghamitra Bandyopadhyay Indian Statistical Institute
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
George Tsatsaronis
George Tsatsaronis Technical University of Berlin

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