World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
25279
World Ranking
2833
National Ranking
1403

Sharad Mehrotra 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 Sharad Mehrotra 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: 385 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Sharad Mehrotra 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 Sharad Mehrotra 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

Sharad Mehrotra is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing, and Computer Vision and Pattern Recognition.

The main topics covered by their work include Privacy-Preserving Technologies in Data, Cryptography and Data Security, Data Management and Algorithms, IoT and Edge/Fog Computing, Data Quality and Management, Internet Traffic Analysis and Secure E-voting, and Complexity and Algorithms in Graphs.

The scientist has published extensively, including recent papers such as:

  • SmartBench, 2020, Proceedings of the VLDB Endowment
  • Federated Analytics: A Survey, 2023, APSIPA Transactions on Signal and Information Processing
  • Locater, 2020, Proceedings of the VLDB Endowment
  • Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets, 2020, arXiv (Cornell University)
  • The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces, 2022, ACM Transactions on Internet Technology

Frequent co-authors who have collaborated with Sharad Mehrotra include:

  • Shantanu Sharma
  • Nalini Venkatasubramanian
  • Peeyush Gupta
  • Roberto Yus
  • Nisha Panwar

Sharad Mehrotra's publication venues show a concentration in forums such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM Transactions on Internet of Things
  • Pervasive and Mobile Computing
  • IEEE Transactions on Knowledge and Data Engineering

Best Publications

  • Relevance feedback: a power tool for interactive content-based image retrieval

    Yong Rui;T.S. Huang;M. Ortega;S. Mehrotra

  • Dimensionality reduction for fast similarity search in large time series databases

    Eamonn J. Keogh;Kaushik Chakrabarti;Michael J. Pazzani;Sharad Mehrotra

  • Executing SQL over encrypted data in the database-service-provider model

    Hakan Hacigümüş;Bala Iyer;Chen Li;Sharad Mehrotra

  • Content-based image retrieval with relevance feedback in MARS

    Y. Rui;T.S. Huang;S. Mehrotra

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra

  • Providing database as a service

    H. Hacigumus;B. Iyer;S. Mehrotra

  • Adaptive key frame extraction using unsupervised clustering

    Yueting Zhuang;Yong Rui;T.S. Huang;S. Mehrotra

  • A privacy-preserving index for range queries

    Bijit Hore;Sharad Mehrotra;Gene Tsudik

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Kaushik Chakrabarti;Eamonn Keogh;Sharad Mehrotra;Michael Pazzani

  • Constructing table-of-content for videos

    Yong Rui;Thomas S. Huang;Sharad Mehrotra

  • Supporting similarity queries in MARS

    Michael Ortega;Yong Rui;Kaushik Chakrabarti;Sharad Mehrotra

  • The hybrid tree: an index structure for high dimensional feature spaces

    K. Chakrabarti;S. Mehrotra

  • Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces

    Kaushik Chakrabarti;Sharad Mehrotra

  • Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems

    R. Hariharan;B. Hore;Chen Li;S. Mehrotra

  • Efficient execution of aggregation queries over encrypted relational databases

    Hakan Hacigümüs;Bala Iyer;Sharad Mehrotra

  • Efficient record linkage in large data sets

    Liang Jin;Chen Li;S. Mehrotra

  • Secure multidimensional range queries over outsourced data

    Bijit Hore;Sharad Mehrotra;Mustafa Canim;Murat Kantarcioglu

  • Exploring video structure beyond the shots

    Yong Rui;T.S. Huang;S. Mehrotra

  • Relevance feedback techniques in interactive content-based image retrieval

    Yong Rui;Thomas S. Huang;Sharad Mehrotra

  • Supporting ranked Boolean similarity queries in MARS

    M. Ortega;Y. Rui;K. Chakrabarti;K. Porkaew

  • Proceedings of the 26th International Conference on Data Engineering, ICDE 2010

    Feifei Li;Mirella M. Moro;Shahram Ghandeharizadeh;Jayant R. Haritsa

Frequent Co-Authors

Nalini Venkatasubramanian
Nalini Venkatasubramanian University of California, Irvine
Kaushik Chakrabarti
Kaushik Chakrabarti Microsoft (United States)
Yong Rui
Yong Rui Lenovo (China)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Balakrishna R. Iyer
Balakrishna R. Iyer IBM (United States)
Chen Li
Chen Li University of California, Irvine
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Henry F. Korth
Henry F. Korth Lehigh University
Rajeev Rastogi
Rajeev Rastogi Amazon (United States)

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