World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
31387
World Ranking
1458
National Ranking
26

Soujanya Poria 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 Soujanya Poria 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Soujanya Poria 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 Soujanya Poria 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: 74 D-Index — 90th percentile

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

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

Overview

Soujanya Poria is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily lies within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, and Social Psychology.

The scientist's main research topics cover a range of areas including Topic Modeling, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Multimodal Machine Learning Applications, Speech Recognition and Synthesis, and Music and Audio Processing.

Soujanya Poria's publication record includes contributions to a variety of scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Information Fusion
  • Cognitive Computation
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Neurocomputing

Some recent papers by Soujanya Poria and their collaborators are:

  • "Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions" (2022), published in Information Fusion
  • "A review of deep learning techniques for speech processing" (2023), published in Information Fusion
  • "Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering" (2021), published in arXiv (Cornell University)
  • "MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis" (2020), published in arXiv (Cornell University)
  • "Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research" (2020), published in IEEE Transactions on Affective Computing

Soujanya Poria frequently collaborates with several coauthors, including:

  • Navonil Majumder (46 joint publications)
  • Rada Mihalcea (26 joint publications)
  • Deepanway Ghosal (26 joint publications)
  • Rishabh Bhardwaj (22 joint publications)
  • Devamanyu Hazarika (15 joint publications)

Best Publications

  • Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • Recent Trends in Deep Learning Based Natural Language Processing

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • A review of affective computing

    Soujanya Poria;Erik Cambria;Rajiv Bajpai;Amir Hussain

  • Tensor Fusion Network for Multimodal Sentiment Analysis

    Amir Zadeh;Minghai Chen;Soujanya Poria;Erik Cambria

  • Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    AmirAli Bagher Zadeh;Paul Pu Liang;Soujanya Poria;Erik Cambria

  • Aspect extraction for opinion mining with a deep convolutional neural network

    Soujanya Poria;Erik Cambria;Alexander Gelbukh

  • MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

    Soujanya Poria;Devamanyu Hazarika;Navonil Majumder;Gautam Naik

  • Context-Dependent Sentiment Analysis in User-Generated Videos.

    Soujanya Poria;Erik Cambria;Devamanyu Hazarika;Navonil Majumder

  • MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

    Devamanyu Hazarika;Roger Zimmermann;Soujanya Poria

  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh;Paul Pu Liang;Navonil Mazumder;Soujanya Poria

  • DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.

    Navonil Majumder;Soujanya Poria;Devamanyu Hazarika;Rada Mihalcea

  • SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings

    Erik Cambria;Soujanya Poria;Devamanyu Hazarika;Kenneth Kwok

  • Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Soujanya Poria;Iti Chaturvedi;Erik Cambria;Amir Hussain

  • Deep Learning-Based Document Modeling for Personality Detection from Text

    Navonil Majumder;Soujanya Poria;Alexander Gelbukh;Erik Cambria

  • Fusing audio, visual and textual clues for sentiment analysis from multimodal content

    Soujanya Poria;Erik Cambria;Newton Howard;Guang-Bin Huang

  • Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis

    Soujanya Poria;Erik Cambria;Alexander Gelbukh

  • DialogueGCN: A graph convolutional neural network for emotion recognition in conversation

    Deepanway Ghosal;Navonil Majumder;Soujanya Poria;Niyati Chhaya

  • Multi-attention Recurrent Network for Human Communication Comprehension.

    Amir Zadeh;Paul Pu Liang;Soujanya Poria;Prateek Vij

  • Sentic patterns: dependency-based rules for concept-level sentiment analysis

    Soujanya Poria;Erik Cambria;Grégoire Winterstein;Guang-Bin Huang

  • Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.

    Devamanyu Hazarika;Soujanya Poria;Amir Zadeh;Erik Cambria

  • Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

    S. Poria;A. Gelbukh;A. Hussain;N. Howard

Frequent Co-Authors

Erik Cambria
Erik Cambria Nanyang Technological University
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Amir Hussain
Amir Hussain Edinburgh Napier University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
Roger Zimmermann
Roger Zimmermann National University of Singapore
Sivaji Bandyopadhyay
Sivaji Bandyopadhyay Jadavpur University
Paul Pu Liang
Paul Pu Liang Carnegie Mellon University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna

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