World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 54 4464 4335 39 39 170 16569

Sunita Sarawagi publications per year

The chart shows the history of publications by Sunita Sarawagi between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sunita Sarawagi published across 41 years, from 1985 to 2025, averaging 4.9 papers a year. Output peaked at 28 publications in 2009. 19 of the 202 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2009. 1985: 1 publication 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 2 publications 1994: 1 publication 1995: 2 publications 1996: 3 publications 1997: 3 publications 1998: 8 publications 1999: 3 publications 2000: 7 publications 2001: 4 publications 2002: 5 publications 2003: 7 publications 2004: 11 publications 2005: 3 publications 2006: 6 publications 2007: 3 publications 2008: 5 publications 2009: 28 publications 2010: 5 publications 2011: 4 publications 2012: 2 publications 2013: 2 publications 2014: 3 publications 2015: 1 publication 2016: 5 publications 2017: 2 publications 2018: 6 publications 2019: 7 publications 2020: 6 publications 2021: 15 publications 2022: 12 publications 2023: 11 publications 2024: 8 publications 2025: 11 publications
1985 2025

202 publications in total across all disciplines

View publications per year as a table
Sunita Sarawagi: publications per year, 1985 to 2025
Year Publications
1985 1
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 2
1994 1
1995 2
1996 3
1997 3
1998 8
1999 3
2000 7
2001 4
2002 5
2003 7
2004 11
2005 3
2006 6
2007 3
2008 5
2009 28
2010 5
2011 4
2012 2
2013 2
2014 3
2015 1
2016 5
2017 2
2018 6
2019 7
2020 6
2021 15
2022 12
2023 11
2024 8
2025 11
Total 202
Download as CSV

Sunita Sarawagi publications per year - data summary

  • Sunita Sarawagi, a Computer Science scholar from Indian Institute of Technology Bombay, has 202 publications recorded across 41 years, from 1985 to 2025.
  • The oldest publication on record dates to 1985 and the most recent to 2025.
  • The most productive year is 2009, with 28 publications.
  • The least productive years with any output are 1985, 1994 and 2015, with 1 publication each.
  • 7 of the 41 years in the span carry no publications at all (1986, 1987, 1988, 1989 and others).
  • The rate of publication averages 4.9 papers per year over the whole span, or 5.9 per year counting only the 34 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 57 publications, 28% of the career total.
  • Split into equal eras - 1985-1998: 20 publications (1.4 per year); 1999-2012: 93 publications (6.6 per year); 2013-2025: 89 publications (6.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 162–171 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534 170
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Sunita Sarawagi publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Sunita Sarawagi, a Computer Science scholar from Indian Institute of Technology Bombay, records 170 publications - the 35th percentile of the discipline.
  • 35% of ranked Computer Science scientists score the same or lower than Sunita Sarawagi, and about 65% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Sunita Sarawagi ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 54
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Sunita Sarawagi D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Sunita Sarawagi, a Computer Science scholar from Indian Institute of Technology Bombay, records 54 D-Index - the 69th percentile of the discipline.
  • 69% of ranked Computer Science scientists score the same or lower than Sunita Sarawagi, and about 31% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Sunita Sarawagi ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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)
  • 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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of online degrees and career opportunities. For those needing flexibility, popular online colleges offer accredited programs in technology, giving students nationwide access to quality education.

If you're passionate about gaming, pursuing the best online game design degree lets you build creative and technical skills for this booming industry. Cybersecurity is another high-demand field. Students looking to minimize costs should consider the cheapest cybersecurity degree, ensuring a pathway to roles vital for digital safety.

Technology also transforms traditional industries. Those interested in the integration of tech and project management can explore an affordable online construction management degree. Each of these pathways offers remote learning advantages, industry relevance, and diverse job prospects—helping students match their studies to emerging tech-driven careers.

Best Scientists Citing Sunita Sarawagi

Trending Scientists

Recently Published Articles