World's Best Scientists 2026 revealed!
Naveen Muralimanohar

Naveen Muralimanohar

D-Index & Metrics

Computer Science

D-Index
33
Citations
8235
World Ranking
12405
National Ranking
5030

Naveen Muralimanohar 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 Naveen Muralimanohar 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: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Naveen Muralimanohar 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 Naveen Muralimanohar 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Naveen Muralimanohar is affiliated with Google in the United States. Their professional involvement is situated within the U.S. academic and research environment.

No recent papers, co-authors, or publication venues are listed in the available data, which limits a detailed overview of their specific research contributions or collaboration networks.

There is no information on book publications associated with Naveen Muralimanohar.

Details about main fields of study, subfields, and main topics of work linked to this scientist are not provided in the current data.

There are no recorded awards or honors attributed to Naveen Muralimanohar at this time.

Due to the limited publicly available data on publications, research areas, and achievements, a comprehensive profile cannot elaborate on specific scientific themes or scholarly impact.

Best Publications

  • ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars

    Ali Shafiee;Anirban Nag;Naveen Muralimanohar;Rajeev Balasubramonian

  • CACTI 6.0: A Tool to Model Large Caches

    Naveen Muralimanohar;Rajeev Balasubramonian;Norman P. Jouppi

  • Optimizing NUCA Organizations and Wiring Alternatives for Large Caches with CACTI 6.0

    Naveen Muralimanohar;Rajeev Balasubramonian;Norm Jouppi

  • CACTI 7: New Tools for Interconnect Exploration in Innovative Off-Chip Memories

    Rajeev Balasubramonian;Andrew B. Kahng;Naveen Muralimanohar;Ali Shafiee

  • Overcoming the challenges of crossbar resistive memory architectures

    Cong Xu;Dimin Niu;Naveen Muralimanohar;Rajeev Balasubramonian

  • Rethinking DRAM design and organization for energy-constrained multi-cores

    Aniruddha N. Udipi;Naveen Muralimanohar;Niladrish Chatterjee;Rajeev Balasubramonian

  • FREE-p: Protecting non-volatile memory against both hard and soft errors

    Doe Hyun Yoon;Naveen Muralimanohar;Jichuan Chang;Parthasarathy Ranganathan

  • CACTI-3DD: architecture-level modeling for 3D die-stacked DRAM main memory

    Ke Chen;Sheng Li;Naveen Muralimanohar;Jung Ho Ahn

  • Leveraging 3D PCRAM technologies to reduce checkpoint overhead for future exascale systems

    Xiangyu Dong;Naveen Muralimanohar;Norm Jouppi;Richard Kaufmann

  • Simple but Effective Heterogeneous Main Memory with On-Chip Memory Controller Support

    Xiangyu Dong;Yuan Xie;Naveen Muralimanohar;Norman P. Jouppi

  • Interconnect-Aware Coherence Protocols for Chip Multiprocessors

    Liqun Cheng;Naveen Muralimanohar;Karthik Ramani;Rajeev Balasubramonian

  • Understanding the trade-offs in multi-level cell ReRAM memory design

    Cong Xu;Dimin Niu;Naveen Muralimanohar;Norman P. Jouppi

  • Architecting Efficient Interconnects for Large Caches with CACTI 6.0

    N. Muralimanohar;R. Balasubramonian;N.P. Jouppi

  • Interconnect design considerations for large NUCA caches

    Naveen Muralimanohar;Rajeev Balasubramonian

  • LOT-ECC: localized and tiered reliability mechanisms for commodity memory systems

    Aniruddha N. Udipi;Naveen Muralimanohar;Rajeev Balsubramonian;Al Davis

  • Efficient Data Mapping and Buffering Techniques for Multilevel Cell Phase-Change Memories

    Hanbin Yoon;Justin Meza;Naveen Muralimanohar;Norman P. Jouppi

  • Design trade-offs for high density cross-point resistive memory

    Dimin Niu;Cong Xu;Naveen Muralimanohar;Norman P. Jouppi

  • The role of optics in future high radix switch design

    Nathan Binkert;Al Davis;Norman P. Jouppi;Moray McLaren

  • Towards scalable, energy-efficient, bus-based on-chip networks

    Aniruddha N. Udipi;Naveen Muralimanohar;Rajeev Balasubramonian

  • Combining memory and a controller with photonics through 3D-stacking to enable scalable and energy-efficient systems

    Aniruddha N. Udipi;Naveen Muralimanohar;Rajeev Balasubramonian;Al Davis

Frequent Co-Authors

Norman P. Jouppi
Norman P. Jouppi Google (United States)
Rajeev Balasubramonian
Rajeev Balasubramonian University of Utah
Parthasarathy Ranganathan
Parthasarathy Ranganathan Google (United States)
Robert Schreiber
Robert Schreiber Cerebras Systems
Paolo Faraboschi
Paolo Faraboschi Hewlett Packard Enterprise (United States)
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Jung Ho Ahn
Jung Ho Ahn Seoul National University
Jeffrey C. Mogul
Jeffrey C. Mogul Google (United States)
Karthik Ramani
Karthik Ramani Purdue University West Lafayette
R. Stanley Williams
R. Stanley Williams Texas A&M University

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