World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
16569
World Ranking
4464
National Ranking
39

Sunita Sarawagi 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 Sunita Sarawagi 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Sunita Sarawagi 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 Sunita Sarawagi 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Sunita Sarawagi is affiliated with the Indian Institute of Technology Bombay, India. Their research primarily lies within the field of Computer Science, focusing on Artificial Intelligence with additional work in Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Management Science and Operations Research.

Their contributions span several topics that include Natural Language Processing Techniques, Topic Modeling, Machine Learning and Algorithms, Gaussian Processes and Bayesian Inference, Machine Learning and Data Classification, Semantic Web and Ontologies, and Advanced Database Systems and Queries.

They have published extensively, with a significant number of works appearing in notable venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the VLDB Endowment, and the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), as well as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing.

  • Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (2020, arXiv (Cornell University))
  • Deep indexed active learning for matching heterogeneous entity representations (2021, Proceedings of the VLDB Endowment)
  • Learning from Rules Generalizing Labeled Exemplars (2020, arXiv (Cornell University))
  • Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers))
  • Robust Data Programming with Precision-guided Labeling Functions (2020, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent collaborators include Abhijeet Awasthi, Vihari Piratla, Preethi Jyothi, Lokesh Nagalapatti, and Partha Talukdar.

Sunita Sarawagi has been recognized as a Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • Information Extraction

    Sunita Sarawagi

  • Discriminative Methods for Multi-labeled Classification

    Shantanu Godbole;Sunita Sarawagi

  • On the Computation of Multidimensional Aggregates

    Sameet Agarwal;Rakesh Agrawal;Prasad Deshpande;Ashish Gupta

  • Interactive deduplication using active learning

    Sunita Sarawagi;Anuradha Bhamidipaty

  • Modeling multidimensional databases

    R. Agrawal;A. Gupta;S. Sarawagi

  • Semi-Markov Conditional Random Fields for Information Extraction

    Sunita Sarawagi;William W. Cohen

  • Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications

    Sunita Sarawagi;Shiby Thomas;Rakesh Agrawal

  • Discovery-driven exploration of OLAP data cubes

    S. Sarawagi;R. Agrawal;N. Megiddo

  • Automatically Extracting Structure from Free Text Addresses.

    Vinayak R. Borkar;Kaustubh Deshmukh;Sunita Sarawagi

  • Annotating and searching web tables using entities, types and relationships

    Girija Limaye;Sunita Sarawagi;Soumen Chakrabarti

  • Efficient set joins on similarity predicates

    Sunita Sarawagi;Alok Kirpal

  • Efficient organization of large multidimensional arrays

    S. Sarawagi;M. Stonebraker

  • Record linkage: similarity measures and algorithms

    Nick Koudas;Sunita Sarawagi;Divesh Srivastava

  • Automatic segmentation of text into structured records

    Vinayak Borkar;Kaustubh Deshmukh;Sunita Sarawagi

  • Generalizing Across Domains via Cross-Gradient Training

    Shiv Shankar;Vihari Piratla;Soumen Chakrabarti;Siddhartha Chaudhuri

  • Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods

    William W. Cohen;Sunita Sarawagi

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • Mining Surprising Patterns Using Temporal Description Length

    Soumen Chakrabarti;Sunita Sarawagi;Byron Dom

  • Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings

    Aviral Kumar;Sunita Sarawagi;Ujjwal Jain

  • Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

    Ying Li;Bing Liu;Sunita Sarawagi

Frequent Co-Authors

Soumen Chakrabarti
Soumen Chakrabarti Indian Institute of Technology Bombay
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Alon Halevy
Alon Halevy Facebook (United States)
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Yannis E. Ioannidis
Yannis E. Ioannidis National and Kapodistrian University of Athens
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University

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