World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
14112
World Ranking
2928
National Ranking
1440

Vivek Narasayya 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 Vivek Narasayya 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Vivek Narasayya 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 Vivek Narasayya 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Vivek Narasayya is affiliated with Microsoft in the United States and has contributed extensively to the field of Computer Science. Their research spans several subfields including Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems, and Management Science and Operations Research.

The scientist's work primarily focuses on areas such as Advanced Database Systems and Queries, Data Management and Algorithms, Cloud Computing and Resource Management, Data Quality and Management, Distributed and Parallel Computing Systems, Distributed Systems and Fault Tolerance, and IoT and Edge/Fog Computing.

Vivek Narasayya has published numerous papers, with notable recent contributions including:

  • "Efficiently approximating selectivity functions using low overhead regression models" (2020), Proceedings of the VLDB Endowment
  • "DSB" (2021), Proceedings of the VLDB Endowment
  • "Budget-aware Index Tuning with Reinforcement Learning" (2022), Proceedings of the 2022 International Conference on Management of Data
  • "Cloud Data Services: Workloads, Architectures and Multi-Tenancy" (2021), Foundations and Trends in Databases
  • "ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning" (2022), Proceedings of the 2022 International Conference on Management of Data

Frequent co-authors in their collaborations include Surajit Chaudhuri, Tarique Siddiqui, Wentao Wu, Xiaoying Wang, and Bailu Ding. These partnerships have contributed to a range of research projects and publications.

The main venues where Vivek Narasayya has published include:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • Proceedings of the 2022 International Conference on Management of Data
  • Foundations and Trends in Databases
  • Proceedings of the ACM on Management of Data

This body of work demonstrates activity across a range of topics and venues commonly associated with database systems, data management, and cloud computing research, reflecting a comprehensive engagement with both theoretical and applied aspects in these areas.

Best Publications

  • An overview of business intelligence technology

    Surajit Chaudhuri;Umeshwar Dayal;Vivek Narasayya

  • Automated Selection of Materialized Views and Indexes in SQL Databases

    Sanjay Agrawal;Surajit Chaudhuri;Vivek R. Narasayya

  • Integrating vertical and horizontal partitioning into automated physical database design

    Sanjay Agrawal;Vivek Narasayya;Beverly Yang

  • An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server

    Surajit Chaudhuri;Vivek R. Narasayya

  • On random sampling over joins

    Surajit Chaudhuri;Rajeev Motwani;Vivek Narasayya

  • Self-tuning database systems: a decade of progress

    Surajit Chaudhuri;Vivek Narasayya

  • AutoAdmin “what-if” index analysis utility

    Surajit Chaudhuri;Vivek Narasayya

  • Database tuning advisor for microsoft SQL server 2005: demo

    Sanjay Agrawal;Surajit Chaudhuri;Lubor Kollar;Arun Marathe

  • Random sampling for histogram construction: how much is enough?

    Surajit Chaudhuri;Rajeev Motwani;Vivek Narasayya

  • Database Tuning Advisor for Microsoft SQL Server 2005

    Sanjay Agrawal;Surajit Chaudhuri;Lubor Kollár;Arunprasad P. Marathe

  • Optimized stratified sampling for approximate query processing

    Surajit Chaudhuri;Gautam Das;Vivek Narasayya

  • Towards estimation error guarantees for distinct values

    Moses Charikar;Surajit Chaudhuri;Rajeev Motwani;Vivek Narasayya

  • Automating statistics management for query optimizers

    S. Chaudhuri;V. Narasayya

  • What-if index analysis utility for database systems

    Surajit Chaudhuri;Vivek Narasayya

  • Overcoming limitations of sampling for aggregation queries

    S. Chaudhuri;G. Das;M. Datar;R. Motwani

  • Trace based method for the analysis, benchmarking and tuning of object oriented databases and applications

    Henry M. Levy;Ashutosh Tiwary;Vivek R. Narasayya

  • Self-Tuning Technology in Microsoft SQL Server.

    Surajit Chaudhuri;Eric Christensen;Goetz Graefe;Vivek R. Narasayya

  • Database monitoring system

    Surajit Chaudhuri;Arnd Christian Konig;Vivek Narasayya

  • Estimating progress of execution for SQL queries

    Surajit Chaudhuri;Vivek Narasayya;Ravishankar Ramamurthy

  • Selectivity estimation for range predicates using lightweight models

    Anshuman Dutt;Chi Wang;Azade Nazi;Srikanth Kandula

  • A robust, optimization-based approach for approximate answering of aggregate queries

    Surajit Chaudhuri;Gautam Das;Vivek Narasayya

Frequent Co-Authors

Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Sudipto Das
Sudipto Das Amazon (United States)
Rajeev Motwani
Rajeev Motwani Stanford University
Kaushik Chakrabarti
Kaushik Chakrabarti Microsoft (United States)
Feng Li
Feng Li Shandong University
Nicolas Bruno
Nicolas Bruno Microsoft (United States)
Gautam Das
Gautam Das The University of Texas at Arlington
Henry M. Levy
Henry M. Levy University of Washington
Arvind Arasu
Arvind Arasu Microsoft (United States)
Bolin Ding
Bolin Ding Alibaba Group (United States)

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