World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12022
World Ranking
7052
National Ranking
3096

Jugal Kalita 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 Jugal Kalita 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: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Jugal Kalita 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 Jugal Kalita 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Jugal Kalita is affiliated with the University of Colorado Colorado Springs in the United States. Their research spans multiple fields with a primary focus on computer science, particularly within artificial intelligence and various subfields related to computational and biological sciences.

The scientist has contributed extensively to the study of artificial intelligence, publishing numerous papers in areas such as natural language processing and advanced malware detection. Their work integrates diverse topics including topic modeling, multimodal machine learning applications, network security and intrusion detection, as well as bioinformatics and genomic networks. The broader scope of their research also covers molecular biology and gene expression related to cancer classification.

Kalita has published in a variety of venues, with a significant number of articles appearing in arXiv (Cornell University), SSRN Electronic Journal, Neurocomputing, Clinical Cancer Drugs, and Knowledge-Based Systems.

  • A Survey of the Usages of Deep Learning for Natural Language Processing, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Multi-task learning for natural language processing in the 2020s: Where are we going?, 2020, Pattern Recognition Letters
  • Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction, 2024, Neurocomputing
  • Classifying Malware Images with Convolutional Neural Network Models, 2020, arXiv (Cornell University)
  • A survey of malware detection using deep learning, 2024, Machine Learning with Applications

Collaboration is a notable aspect of Kalita's research output. Frequent co-authors include Dhruba K. Bhattacharyya (32 joint publications), Swarup Roy (19 publications), Khang Nhứt Lâm (17 publications), Ahmed Bensaoud (16 publications), and Melkamu Abay Mersha (9 publications).

Their work publishes predominantly in the following venues:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Clinical Cancer Drugs
  • Neurocomputing
  • Knowledge-Based Systems

Research topics explored by Kalita cover:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Malware Detection Techniques
  • Multimodal Machine Learning Applications
  • Gene expression and cancer classification
  • Network Security and Intrusion Detection
  • Bioinformatics and Genomic Networks

This profile reflects detailed information about Jugal Kalita's scholarly contributions, emphasizing their involvement in interdisciplinary research combining computer science with molecular biology and health-related data analysis.

Best Publications

  • Network Anomaly Detection: Methods, Systems and Tools

    Monowar H. Bhuyan;D. K. Bhattacharyya;J. K. Kalita

  • A Survey of the Usages of Deep Learning for Natural Language Processing

    Daniel W. Otter;Julian R. Medina;Jugal K. Kalita

  • MIFS-ND: A mutual information-based feature selection method

    Nazrul Hoque;D. K. Bhattacharyya;Jugal K. Kalita

  • Botnet in DDoS Attacks: Trends and Challenges

    Nazrul Hoque;Dhruba K. Bhattacharyya;Jugal K. Kalita

  • A Survey of Outlier Detection Methods in Network Anomaly Identification

    Prasanta Gogoi;D.K. Bhattacharyya;B. Borah;Jugal K. Kalita

  • Summarizing Microblogs Automatically

    Beaux Sharifi;Mark-Anthony Hutton;Jugal Kalita

  • An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection

    Monowar H. Bhuyan;D. K. Bhattacharyya;Jugal K. Kalita

  • Streaming trend detection in Twitter

    James Benhardus;Jugal Kalita

  • Comparing Twitter Summarization Algorithms for Multiple Post Summaries

    David Inouye;Jugal K. Kalita

  • Authentication of Smartphone Users Using Behavioral Biometrics

    Abdulaziz Alzubaidi;Jugal Kalita

  • Detecting Distributed Denial of Service Attacks: Methods, Tools and Future Directions

    Monowar H. Bhuyan;Hirak Jyoti Kashyap;Dhruba Kumar Bhattacharyya;Jugal K. Kalita

  • Network Anomaly Detection: A Machine Learning Perspective

    Dhruba Kumar Bhattacharyya;Jugal Kumar Kalita

  • Surveying Port Scans and Their Detection Methodologies

    Monowar H. Bhuyan;D.K. Bhattacharyya;J.K. Kalita

  • Experiments in Microblog Summarization

    Beaux Sharifi;Mark-Anthony Hutton;Jugal K. Kalita

  • Network attacks

    N. Hoque;Monowar H. Bhuyan;R.C. Baishya;D.K. Bhattacharyya

  • Improving the Reliability of Deep Neural Networks in NLP: A Review

    Basemah Alshemali;Basemah Alshemali;Jugal Kalita

  • Packet and Flow Based Network Intrusion Dataset

    Prasanta Gogoi;Monowar H. Bhuyan;D. K. Bhattacharyya;Jugal K. Kalita

  • A comparison of algorithms for the pairwise alignment of biological networks

    Connor Clark;Jugal Kalita

  • Towards Generating Real-life Datasets for Network Intrusion Detection.

    Monowar H. Bhuyan;Dhruba K. Bhattacharyya;Jugal K. Kalita

  • Deep Learning applied to NLP.

    Marc Moreno Lopez;Jugal Kalita

  • A Survey of the Usages of Deep Learning in Natural Language Processing

    Daniel W. Otter;Julian R. Medina;Jugal K. Kalita

Frequent Co-Authors

Dhruba K. Bhattacharyya
Dhruba K. Bhattacharyya Tezpur University
Norman I. Badler
Norman I. Badler University of Pennsylvania
Anil Pahwa
Anil Pahwa Kansas State University
Erik Elmroth
Erik Elmroth Umeå University
Ashish Ghosh
Ashish Ghosh Indian Statistical Institute
Bonnie Webber
Bonnie Webber University of Edinburgh

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