World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13773
World Ranking
5248
National Ranking
2417

Amol Deshpande 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 Amol Deshpande 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Amol Deshpande 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 Amol Deshpande 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: 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.

Overview

Amol Deshpande is affiliated with the University of Maryland, College Park in the United States. Their research spans primarily the field of Computer Science, with a focus on several specialized subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, and Electrical and Electronic Engineering.

Their work addresses multiple core topics, including Graph Theory and Algorithms, Data Management and Algorithms, Advanced Database Systems and Queries, Bluetooth and Wireless Communication Technologies, IoT-based Smart Home Systems, Mobile and Web Applications, and Digital Imaging for Blood Diseases.

Deshpande has contributed to a variety of research publications over recent years. Notable papers include:

  • "Modern Techniques For Querying Graph-structured Databases," 2024, Foundations and Trends in Databases
  • "Bluetooth Based Electronic Notice Board," 2020, International Journal of Engineering and Advanced Technology
  • "Early Stage Detection of Multiple Sclerosis using FCNN," 2022, 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)
  • "Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning," 2025, Pattern Recognition Letters
  • "To Store or Not to Store: a graph theoretical approach for Dataset Versioning," 2024, arXiv (Cornell University)

Frequent collaborators in their work include Amine Mhedhbi, Semih Salihoğlu, Ashutosh Pandya, Chinmay Raut, and Mihir Patel. The recurring publication venues for Deshpande feature journals and conferences such as arXiv (Cornell University), Foundations and Trends in Databases, International Journal of Engineering and Advanced Technology, ICETET-SIP-22 conference, and Pattern Recognition Letters.

Best Publications

  • TelegraphCQ: continuous dataflow processing

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • Model-driven data acquisition in sensor networks

    Amol Deshpande;Carlos Guestrin;Samuel R. Madden;Joseph M. Hellerstein

  • Approximate Data Collection in Sensor Networks using Probabilistic Models

    D. Chu;A. Deshpande;J.M. Hellerstein;Wei Hong

  • Adaptive Query Processing

    Amol Deshpande;Zachary Ives;Vijayshankar Raman

  • Representing and Querying Correlated Tuples in Probabilistic Databases

    Prithviraj Sen;A. Deshpande

  • Adaptive Query Processing: Technology in Evolution.

    Joseph M. Hellerstein;Michael J. Franklin;Sirish Chandrasekaran;Amol Deshpande

  • MauveDB: supporting model-based user views in database systems

    Amol Deshpande;Samuel Madden

  • Data Management in the Worldwide Sensor Web

    M. Balazinska;A. Deshpande;M.J. Franklin;P.B. Gibbons

  • Cache-and-query for wide area sensor databases

    Amol Deshpande;Suman Nath;Phillip B. Gibbons;Srinivasan Seshan

  • Efficient snapshot retrieval over historical graph data

    U. Khurana;A. Deshpande

  • Independence is good: dependency-based histogram synopses for high-dimensional data

    Amol Deshpande;Minos Garofalakis;Rajeev Rastogi

  • Exploiting correlated attributes in acquisitional query processing

    Amol Deshpande;C. Guestrin;W. Hong;S. Madden

  • Online Filtering, Smoothing and Probabilistic Modeling of Streaming data

    B. Kanagal;A. Deshpande

  • Using state modules for adaptive query processing

    Vijayshankar Raman;A. Deshpande;J.M. Hellerstein

  • Model-based approximate querying in sensor networks

    Amol Deshpande;Carlos Guestrin;Samuel R. Madden;Joseph M. Hellerstein;Joseph M. Hellerstein

  • TelegraphCQ: An Architectural Status Report

    Sailesh Krishnamurthy;Sirish Chandrasekaran;Owen Cooper;Amol Deshpande

  • DataHub: Collaborative Data Science & Dataset Version Management at Scale

    Anant P. Bhardwaj;Souvik Bhattacherjee;Amit Chavan;Amol Deshpande

  • SWORD: scalable workload-aware data placement for transactional workloads

    Abdul Quamar;K. Ashwin Kumar;Amol Deshpande

  • A unified approach to ranking in probabilistic databases

    Jian Li;Barna Saha;Amol Deshpande

Frequent Co-Authors

Lise Getoor
Lise Getoor University of California, Santa Cruz
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Aditya Parameswaran
Aditya Parameswaran University of California, Berkeley
Suman Nath
Suman Nath Microsoft (United States)
Samir Khuller
Samir Khuller Northwestern University
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Carlos Guestrin
Carlos Guestrin Stanford University
Vijayshankar Raman
Vijayshankar Raman Google (United States)

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