World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
23287
World Ranking
977
National Ranking
526

s muthukrishnan 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 s muthukrishnan 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

s muthukrishnan 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 s muthukrishnan 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: 82 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.

Overview

s muthukrishnan is affiliated with Rutgers, The State University of New Jersey in the United States. Their research contributions span several subfields within computer science, particularly focusing on areas related to artificial intelligence, computer networks and communications, analytical chemistry, industrial and manufacturing engineering, and control and systems engineering.

The scientist has published work across a range of topics including:

  • Caching and Content Delivery
  • Internet Traffic Analysis and Secure E-voting
  • Network Traffic and Congestion Control
  • Spectroscopy and Chemometric Analyses
  • Water Quality Monitoring and Analysis
  • Advanced Algorithms and Applications
  • Advanced Graph Neural Networks

Recent publications provide insight into the interdisciplinary nature of their work. These include:

  • "Avoiding Flow Size Overestimation in Count-Min Sketch With Bloom Filter Constructions," 2021, published in IEEE Transactions on Network and Service Management
  • "Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation," 2020, published in arXiv (Cornell University)
  • "Partial Least Squares Discriminant Analysis-Based Decision Support System for Porous Ceramic Matrix-Based Burner," 2025, published in Heat Transfer
  • "Fine-Tuning of Pattern net Artificial Neural Network for Classification Based Design of Porous Ceramic Matrix Based Burners: A Comparison of Mean Squared Error and Sum Absolute Error as Performance Function Under Different Hidden Neurons," 2025, published in Heat Transfer

The venues in which s muthukrishnan has published frequently include:

  • Heat Transfer
  • IEEE Transactions on Network and Service Management
  • arXiv (Cornell University)

Collaborations form a notable part of their research activities. Frequent co-authors include:

  • Vijay Kumar Mishra
  • Sumanta Chaudhuri
  • Ori Rottenstreich
  • Pedro Reviriego
  • Ely Porat

Best Publications

  • An improved data stream summary: the count-min sketch and its applications

    Graham Cormode;S. Muthukrishnan

  • Data streams: algorithms and applications

    Unknown

  • What's hot and what's not: tracking most frequent items dynamically

    Graham Cormode;S. Muthukrishnan

  • Influence sets based on reverse nearest neighbor queries

    Flip Korn;S. Muthukrishnan

  • Faster least squares approximation

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan;Tamás Sarlós

  • What's hot and what's not: tracking most frequent items dynamically

    Unknown

  • Near-optimal sparse fourier representations via sampling

    A. C. Gilbert;S. Guha;P. Indyk;S. Muthukrishnan

  • Fast, small-space algorithms for approximate histogram maintenance

    Anna C. Gilbert;Sudipto Guha;Piotr Indyk;Yannis Kotidis

  • Flow and stretch metrics for scheduling continuous job streams

    Michael A. Bender;Soumen Chakrabarti;S. Muthukrishnan

  • An improved data stream summary: The count-min sketch and its applications

    Graham Cormode;S. Muthukrishnan

  • The string edit distance matching problem with moves

    Graham Cormode;S. Muthukrishnan

  • Efficient algorithms for document retrieval problems

    S. Muthukrishnan

  • Mining database structure; or, how to build a data quality browser

    Tamraparni Dasu;Theodore Johnson;S. Muthukrishnan;Vladislav Shkapenyuk

  • Improved time bounds for near-optimal sparse Fourier representations

    A. C. Gilbert;S. Muthukrishnan;M. Strauss

  • On the sorting-complexity of suffix tree construction

    Martin Farach-Colton;Paolo Ferragina;S. Muthukrishnan

  • Internet packet filter management and rectangle geometry

    David Eppstein;S. Muthukrishnan

  • Estimating statistical aggregates on probabilistic data streams

    T. S. Jayram;Andrew McGregor;S. Muthukrishnan;Erik Vee

  • Holistic aggregates in a networked world: distributed tracking of approximate quantiles

    Graham Cormode;Minos Garofalakis;S. Muthukrishnan;Rajeev Rastogi

  • Scheduling on-demand broadcasts: new metrics and algorithms

    Unknown

  • Approximation of functions over redundant dictionaries using coherence

    Anna C. Gilbert;S. Muthukrishnan;Martin J. Strauss

  • Combinatorial algorithms for compressed sensing

    Graham Cormode;S. Muthukrishnan

  • Finding hierarchical heavy hitters in data streams

    Graham Cormode;Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Sampling algorithms for l 2 regression and applications

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan

Frequent Co-Authors

Graham Cormode
Graham Cormode University of Warwick
Jon Feldman
Jon Feldman Google (United States)
Martin J. Strauss
Martin J. Strauss University of Michigan–Ann Arbor
Flip Korn
Flip Korn Google (United States)
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Anna C. Gilbert
Anna C. Gilbert Yale University
Paolo Ferragina
Paolo Ferragina University of Pisa
Bhaskar DasGupta
Bhaskar DasGupta University of Illinois at Chicago
Rajmohan Rajaraman
Rajmohan Rajaraman Northeastern University
Nick Koudas
Nick Koudas University of Toronto

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