World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
17120
World Ranking
5218
National Ranking
2397

Sudipta Sengupta 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 Sudipta Sengupta 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Sudipta Sengupta 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 Sudipta Sengupta 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: 51 D-Index — 63rd percentile

63% 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

  • 2016 - ACM Fellow For contributions to cloud networking, storage, and data management.
  • 2016 - IEEE Fellow For contributions to network design, routing and applications to Internet backbone, data centers, and peer-to-peer systems
  • 2012 - ACM Distinguished Member

Overview

Sudipta Sengupta is affiliated with Amazon in the United States and has contributed extensively to the field of computer science. Their research spans multiple areas within the discipline, with a particular focus on artificial intelligence, as well as significant work in information systems, materials chemistry, mechanical engineering, and computer networks and communications.

The scientist's body of work is concentrated on several key topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Software Engineering Research
  • Machine Learning and Data Classification
  • Machine Learning in Materials Science
  • Multi-Agent Systems and Negotiation
  • Semantic Web and Ontologies

Sudipta Sengupta has published mainly in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent publications include the following:

  • "Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale," 2024, arXiv (Cornell University)
  • "A Static Evaluation of Code Completion by Large Language Models," 2023, arXiv (Cornell University)
  • "Multi-lingual Evaluation of Code Generation Models," 2022, arXiv (Cornell University)
  • "Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding," 2022, arXiv (Cornell University)
  • "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval," 2022, arXiv (Cornell University)

Collaborations have been part of their scholarly activity, frequently working with:

  • Dan Roth
  • Frank F. Xu
  • Graham Neubig
  • Ramesh Nallapati
  • Bing Xiang

Sudipta Sengupta has received several recognitions in the field, including:

  • ACM Fellow (2016) for contributions to cloud networking, storage, and data management
  • IEEE Fellow (2016) for contributions to network design, routing, and applications to Internet backbone, data centers, and peer-to-peer systems
  • ACM Distinguished Member (2012)

Best Publications

  • VL2: a scalable and flexible data center network

    Albert Greenberg;James R. Hamilton;Navendu Jain;Srikanth Kandula

  • Data center TCP (DCTCP)

    Mohammad Alizadeh;Albert Greenberg;David A. Maltz;Jitendra Padhye

  • The nature of data center traffic: measurements & analysis

    Srikanth Kandula;Sudipta Sengupta;Albert Greenberg;Parveen Patel

  • Data center interconnect system

    Maltz David A;Greenberg Albert G;Patel Parveen K;Sengupta Sudipta

  • An Analysis of Wireless Network Coding for Unicast Sessions: The Case for Coding-Aware Routing

    S. Sengupta;S. Rayanchu;S. Banerjee

  • FlashStore: high throughput persistent key-value store

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • BloomFlash: Bloom Filter on Flash-Based Storage

    Biplob Debnath;Sudipta Sengupta;Jin Li;David J. Lilja

  • The Bw-Tree: A B-tree for new hardware platforms

    J. J. Levandoski;D. B. Lomet;S. Sengupta

  • Towards a next generation data center architecture: scalability and commoditization

    Albert Greenberg;Parantap Lahiri;David A. Maltz;Parveen Patel

  • ChunkStash: speeding up inline storage deduplication using flash memory

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • VL2: a scalable and flexible data center network

    Albert Greenberg;James R. Hamilton;Navendu Jain;Srikanth Kandula

  • SkimpyStash: RAM space skimpy key-value store on flash-based storage

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • Multicast routing with service-level guarantees between ingress egress-points in a packet network

    Muralidharan S. Kodialam;Tirnuell V. Lakshman;Sudipta Sengupta

  • The Nature of Datacenter Traffic: Measurements & Analysis

    Srikanth Kandula;Sudipta Sengupta;Albert Greenberg;Parveen Patel

  • Techniques for scheduling with rejection

    Unknown

  • Using index partitioning and reconciliation for data deduplication

    Jin Li;Sudipta Sengupta;Ran Kalach;Ronakkumar N. Desai

  • Agile data center network architecture

    Albert Greenberg;Parantap Lahiri;David A. Maltz;Parveen K. Patel

  • Primary data deduplication-large scale study and system design

    Ahmed El-Shimi;Ran Kalach;Ankit Kumar;Adi Oltean

  • Efficient and robust routing of potentially-variable traffic for path restoration following link failure

    Muralidharan S. Kodialam;Tirunell V. Lakshman;Sudipta Sengupta

  • Distributed load balancer

    Najam Ahmad;Albert Gordon Greenberg;Parantap Lahiri;Dave Maltz

  • Adaptive Index for Data Deduplication

    Jin Li;Sudipta Sengupta

Frequent Co-Authors

Jin Li
Jin Li Microsoft (United States)
David B. Lomet
David B. Lomet Microsoft (United States)
T. V. Lakshman
T. V. Lakshman Nokia (United States)
Murali Kodialam
Murali Kodialam Nokia (United States)
Minghua Chen
Minghua Chen City University of Hong Kong
David A. Maltz
David A. Maltz Microsoft (United States)
Philip A. Chou
Philip A. Chou Google (United States)
Albert Greenberg
Albert Greenberg Microsoft (United States)
Mung Chiang
Mung Chiang Purdue University West Lafayette

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