World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9240
World Ranking
10014
National Ranking
4222

Nadathur Satish 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 Nadathur Satish 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Nadathur Satish 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 Nadathur Satish 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Nadathur Satish is affiliated with Facebook in the United States and has contributed to research primarily within the fields of Engineering and Materials Science. Their work spans several subfields, including Mechanical Engineering, Ceramics and Composites, Mechanics of Materials, Materials Chemistry, and Aerospace Engineering.

Their research focuses on topics such as Aluminum Alloys Composites Properties, Advanced Materials and Composites, Advanced Ceramic Materials Synthesis, Welding Techniques and Residual Stresses, Metal Forming Simulation Techniques, Metallurgy and Material Forming, and Metallurgy and Material Science.

Recent papers authored or co-authored by Satish include:

  • "Effect Of Cutting Parameters On Tool Tip Temperature And Cutting Forces Of Copper Alloy" (2023), published in the International Journal of Mechanical Engineering and Research
  • "Effect of Brass Content and Speed of Cut on Machining Outcomes of Copper-2% Silver Alloy" (2024), published in the Journal of The Institution of Engineers (India) Series D

Satish frequently collaborates with other researchers. Notable co-authors include:

  • B. Sunil Kumar (2 publications)
  • Mrudula Prashanth (2 publications)
  • Raghavendra Subramanya (1 publication)
  • A. Joshi (1 publication)
  • B. S. Ajaykumar (1 publication)

Their works have appeared in various publication venues, predominantly:

  • International Journal of Mechanical Engineering and Research
  • Journal of The Institution of Engineers (India) Series D

Best Publications

  • Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU

    Victor W. Lee;Changkyu Kim;Jatin Chhugani;Michael Deisher

  • Designing efficient sorting algorithms for manycore GPUs

    Nadathur Satish;Mark Harris;Michael Garland

  • Scalable Bayesian Optimization Using Deep Neural Networks

    Jasper Snoek;Oren Rippel;Oren Rippel;Kevin Swersky;Ryan Kiros

  • FAST: fast architecture sensitive tree search on modern CPUs and GPUs

    Changkyu Kim;Jatin Chhugani;Nadathur Satish;Eric Sedlar

  • Sort vs. Hash revisited: fast join implementation on modern multi-core CPUs

    Changkyu Kim;Tim Kaldewey;Victor W. Lee;Eric Sedlar

  • ClearPath: highly parallel collision avoidance for multi-agent simulation

    Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • 3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

    Anthony Nguyen;Nadathur Satish;Jatin Chhugani;Changkyu Kim

  • GraphMat: high performance graph analytics made productive

    Narayanan Sundaram;Nadathur Satish;Mostofa Ali Patwary;Subramanya R. Dulloor

  • Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

    Nadathur Satish;Changkyu Kim;Jatin Chhugani;Anthony D. Nguyen

  • DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing

    V. Govindaraju;Chen-Han Ho;T. Nowatzki;J. Chhugani

  • Graphicionado: a high-performance and energy-efficient accelerator for graph analytics

    Tae Jun Ham;Lisa Wu;Narayanan Sundaram;Nadathur Satish

  • Debunking the 100X GPU vs. CPU myth

    Unknown

  • Data tiering in heterogeneous memory systems

    Subramanya R. Dulloor;Amitabha Roy;Zheguang Zhao;Narayanan Sundaram

  • Navigating the maze of graph analytics frameworks using massive graph datasets

    Nadathur Satish;Narayanan Sundaram;Md. Mostofa Ali Patwary;Jiwon Seo

  • Streaming similarity search over one billion tweets using parallel locality-sensitive hashing

    Narayanan Sundaram;Aizana Turmukhametova;Nadathur Satish;Todd Mostak

  • IMP: indirect memory prefetcher

    Xiangyao Yu;Christopher J. Hughes;Nadathur Satish;Srinivas Devadas

  • Fast updates on read-optimized databases using multi-core CPUs

    Jens Krueger;Changkyu Kim;Martin Grund;Nadathur Satish

  • PALM: parallel architecture-friendly latch-free modifications to B+ trees on many-core processors

    Jason Sewall;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • Can traditional programming bridge the Ninja performance gap for parallel computing applications

    Nadathur Satish;Changkyu Kim;Jatin Chhugani;Hideki Saito

  • Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling

    Jike Chong;N. Satish;B. Catanzaro;K. Ravindran

  • GraphMat: High performance graph analytics made productive

    Narayanan Sundaram;Nadathur Rajagopalan Satish;Mostofa Ali Patwary;Subramanya R Dulloor

Frequent Co-Authors

Pradeep Dubey
Pradeep Dubey Intel (United States)
Changkyu Kim
Changkyu Kim Facebook (United States)
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Bryan Catanzaro
Bryan Catanzaro Nvidia (United States)
Eric Sedlar
Eric Sedlar Oracle (United States)
Tatiana Shpeisman
Tatiana Shpeisman Intel (United States)
Daniel J. Eisenstein
Daniel J. Eisenstein Harvard University

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