World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
26292
World Ranking
810
National Ranking
440

Divyakant Agrawal 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 Divyakant Agrawal 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: 502 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Divyakant Agrawal 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 Divyakant Agrawal 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: 85 D-Index — 94th percentile

94% 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 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - IEEE Fellow For contributions to large-scale data management in distributed and networked systems
  • 2011 - ACM Fellow For contributions to distributed data management systems.
  • 2010 - ACM Distinguished Member
  • 2008 - ACM Senior Member

Overview

Divyakant Agrawal is affiliated with the University of California, Santa Barbara in the United States. Their work spans primarily the field of Computer Science with a focus on subfields such as Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Science and Operations Research, and Information Systems and Management.

Their research topics cover areas including Blockchain Technology Applications and Security, Distributed systems and fault tolerance, Data Quality and Management, Advanced Database Systems and Queries, Cloud Data Security Solutions, Privacy-Preserving Technologies in Data, and Cloud Computing and Resource Management.

Recent publications by Divyakant Agrawal include:

  • KLL ± approximate quantile sketches over dynamic datasets, 2021, Proceedings of the VLDB Endowment
  • Qanaat, 2022, Proceedings of the VLDB Endowment
  • SEPAR: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees, 2020, arXiv (Cornell University)
  • Pantheon, 2022, Proceedings of the VLDB Endowment
  • Napa, 2021, Proceedings of the VLDB Endowment

Frequent co-authors collaborating with Agrawal include:

  • Amr El Abbadi
  • Mohammad Javad Amiri
  • Fuheng Zhao
  • Sujaya Maiyya
  • Alexandra Meliou

The scientist publishes often in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Management of Data
  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • South Eastern European Journal of Public Health

Aside from journal and conference papers, Divyakant Agrawal has also contributed to book literature, with a publication titled "Blockchain-Enabled Large-Scale Transaction Management" expected in 2025, published by Morgan & Claypool Publishers.

Awards and recognitions include several fellowships and memberships:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • IEEE Fellow, 2012, for contributions to large-scale data management in distributed and networked systems
  • ACM Fellow, 2011, for contributions to distributed data management systems
  • ACM Distinguished Member, 2010
  • ACM Senior Member, 2008

Best Publications

  • Limiting the spread of misinformation in social networks

    Ceren Budak;Divyakant Agrawal;Amr El Abbadi

  • Efficient computation of frequent and top-k elements in data streams

    Ahmed Metwally;Divyakant Agrawal;Amr El Abbadi

  • Big data and cloud computing: current state and future opportunities

    Divyakant Agrawal;Sudipto Das;Amr El Abbadi

  • Medians and beyond: new aggregation techniques for sensor networks

    Nisheeth Shrivastava;Chiranjeeb Buragohain;Divyakant Agrawal;Subhash Suri

  • A game theoretic framework for incentives in P2P systems

    C. Buragohain;D. Agrawal;S. Suri

  • Advanced transaction models in workflow contexts

    G. Alonso;D. Agrawal;A. El Abbadi;M. Kamath

  • Meghdoot: content-based publish/subscribe over P2P networks

    Abhishek Gupta;Ozgur D. Sahin;Divyakant Agrawal;Amr El Abbadi

  • An efficient and fault-tolerant solution for distributed mutual exclusion

    Divyakant Agrawal;Amr El Abbadi

  • Efficient view maintenance at data warehouses

    D. Agrawal;A. El Abbadi;A. Singh;T. Yurek

  • Dimensionality reduction for similarity searching in dynamic databases

    K. V. Ravi Kanth;Divyakant Agrawal;Ambuj Singh

  • Supporting web query expansion efficiently using multi-granularity indexing and query processing

    Wen-Syan Li;Divyakant Agrawal

  • A comparison of DFT and DWT based similarity search in time-series databases

    Yi-Leh Wu;Divyakant Agrawal;Amr El Abbadi

  • G-Store: a scalable data store for transactional multi key access in the cloud

    Sudipto Das;Divyakant Agrawal;Amr El Abbadi

  • Reverse Nearest Neighbor Queries for Dynamic Databases.

    Ioana Stanoi;Divyakant Agrawal;Amr El Abbadi

  • Zephyr: live migration in shared nothing databases for elastic cloud platforms

    Aaron J. Elmore;Sudipto Das;Divyakant Agrawal;Amr El Abbadi

  • Exotica/FMQM: A Persistent Message-Based Architecture for Distributed Workflow Management

    G. Alonso;C. Mohan;R. Günthör;D. Agrawal

  • MD-HBase: A Scalable Multi-dimensional Data Infrastructure for Location Aware Services

    Shoji Nishimura;Sudipto Das;Divyakant Agrawal;Amr El Abbadi

  • Twig2Stack: bottom-up processing of generalized-tree-pattern queries over XML documents

    Songting Chen;Hua-Gang Li;Junichi Tatemura;Wang-Pin Hsiung

  • Database Management as a Service: Challenges and Opportunities

    Divyakant Agrawal;Amr El Abbadi;Fatih Emekci;Ahmed Metwally

  • ElasTraS: an elastic transactional data store in the cloud

    Sudipto Das;Divyakant Agrawal;Amr El Abbadi

Frequent Co-Authors

Amr El Abbadi
Amr El Abbadi University of California, Santa Barbara
K. Selçuk Candan
K. Selçuk Candan Arizona State University
Ambuj K. Singh
Ambuj K. Singh University of California, Santa Barbara
Gustavo Alonso
Gustavo Alonso ETH Zurich
Terence R. Smith
Terence R. Smith University of California, Santa Barbara
Sunil Prabhakar
Sunil Prabhakar Purdue University West Lafayette
Subhash Suri
Subhash Suri University of California, Santa Barbara
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Chandrasekaran Mohan
Chandrasekaran Mohan IBM (United States)
Kian-Lee Tan
Kian-Lee Tan National University of Singapore

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 online education opens up diverse opportunities within computer science and beyond. Many students consider associate degree online programs as a flexible, budget-friendly entry point to the field. These degrees provide a solid foundation for tech roles or further study.

For those seeking efficiency, there are shortest online masters degree options available, some of which can be completed in as little as one year. Choosing a faster program allows professionals to quickly boost their qualifications and re-enter the workforce sooner.

It’s also essential to consider which programs are most likely to enhance your career prospects. Researching which master's degree is most in demand in usa can help you align your studies with the current job market.

In addition, some students prefer to start with easy licenses and certifications to get. These credentials often require significantly less time than degree programs and can unlock well-paying job opportunities in tech and related industries.

Best Scientists Citing Divyakant Agrawal

Trending Scientists

Recently Published Articles