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Manish Gupta 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 Manish Gupta 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+

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

Manish Gupta 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 Manish Gupta 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+

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

Overview

Manish Gupta is affiliated with Microsoft in the United States. Their research primarily spans the fields of computer science and medicine, with a focus on subfields such as artificial intelligence, information systems, computer vision and pattern recognition, sociology and political science, and radiology, nuclear medicine and imaging.

The main topics addressed in their work include topic modeling, natural language processing techniques, hate speech and cyberbullying detection, web data mining and analysis, software engineering research, retinal imaging and analysis, and multimodal machine learning applications.

Manish Gupta has a diverse publication record, including journal articles, conference papers, and book chapters. Their recent papers include:

  • "TweetBoost: Influence of Social Media on NFT Valuation" (2022) published in Companion Proceedings of the Web Conference 2022
  • "Categorizing Sexism and Misogyny through Neural Approaches" (2021) published in ACM Transactions on the Web
  • "HateMM: A Multi-Modal Dataset for Hate Video Classification" (2023) published in Proceedings of the International AAAI Conference on Web and Social Media
  • "WSNet: Towards An Effective Method for Wound Image Segmentation" (2023) published in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Compression of Deep Learning Models for Text: A Survey" (2022) published in ACM Transactions on Knowledge Discovery from Data

Frequent co-authors include Vasudeva Varma, Puneet Agrawal, Tushar Abhishek, Mithun Das, and Rohit Raj.

Manish Gupta's publications appear frequently in venues such as arXiv (Cornell University), Companion Proceedings of the Web Conference 2022, Proceedings of the International AAAI Conference on Web and Social Media, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), and ACM Transactions on the Web.

Their book contributions include a publication titled "Trends and Applications in Knowledge Discovery and Data Mining" (2021), published by Springer Science+Business Media.

Best Publications

  • Outlier Detection for Temporal Data: A Survey

    Manish Gupta;Jing Gao;Charu C. Aggarwal;Jiawei Han

  • Deep Learning for Hate Speech Detection in Tweets

    Pinkesh Badjatiya;Shashank Gupta;Manish Gupta;Vasudeva Varma

  • MVAE: Multimodal Variational Autoencoder for Fake News Detection

    Dhruv Khattar;Jaipal Singh Goud;Manish Gupta;Vasudeva Varma

  • Co-author Relationship Prediction in Heterogeneous Bibliographic Networks

    Yizhou Sun;Rick Barber;Manish Gupta;Charu C. Aggarwal

  • Survey on social tagging techniques

    Manish Gupta;Rui Li;Zhijun Yin;Jiawei Han

  • Evaluating event credibility on twitter

    Manish Gupta;Peixiang Zhao;Jiawei Han

  • Outlier Detection for Temporal Data

    Manish Gupta;Jing Gao;Charu Aggarwal;Jiawei Han

  • A Unified Framework for Link Recommendation Using Random Walks

    Zhijun Yin;Manish Gupta;Tim Weninger;Jiawei Han

  • Information Retrieval with Verbose Queries

    Manish Gupta;Michael Bendersky

  • Integrating community matching and outlier detection for mining evolutionary community outliers

    Manish Gupta;Jing Gao;Yizhou Sun;Jiawei Han

  • LINKREC: a unified framework for link recommendation with user attributes and graph structure

    Zhijun Yin;Manish Gupta;Tim Weninger;Jiawei Han

  • Community evolution detection in dynamic heterogeneous information networks

    Yizhou Sun;Jie Tang;Jiawei Han;Manish Gupta

  • Community trend outlier detection using soft temporal pattern mining

    Manish Gupta;Jing Gao;Yizhou Sun;Jiawei Han

  • Top-K interesting subgraph discovery in information networks

    Manish Gupta;Jing Gao;Xifeng Yan;Hasan Cam

  • Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

    Pinkesh Badjatiya;Manish Gupta;Vasudeva Varma

  • FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter.

    Vijayasaradhi Indurthi;Bakhtiyar Syed;Manish Shrivastava;Nikhil Chakravartula

  • Fast algorithms for topk personalized pagerank queries

    Manish Gupta;Amit Pathak;Soumen Chakrabarti

  • Evolutionary Clustering and Analysis of Bibliographic Networks

    Manish Gupta;Charu C. Aggarwal;Jiawei Han;Yizhou Sun

  • System and method for social networking

    Shyam Sundar Ramamurthy;Manish Satyapal Gupta;Himanshu Verma;Shyam Krishnamurthy

  • Compression of Deep Learning Models for Text: A Survey

    Manish Gupta;Puneet Agrawal

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Ponnurangam Kumaraguru
Ponnurangam Kumaraguru International Institute of Information Technology, Hyderabad
Jing Gao
Jing Gao Purdue University West Lafayette
Yizhou Sun
Yizhou Sun University of California, Los Angeles
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Soumen Chakrabarti
Soumen Chakrabarti Indian Institute of Technology Bombay
Mustaque Ahamad
Mustaque Ahamad Georgia Institute of Technology
Partha Pratim Talukdar
Partha Pratim Talukdar Indian Institute of Science
Niloy Ganguly
Niloy Ganguly Indian Institute of Technology Kharagpur
Kevin Chen-Chuan Chang
Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign

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