World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
7635
World Ranking
3268
National Ranking
1216

Ram Krishnamurthy publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ram Krishnamurthy sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 328 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ram Krishnamurthy D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ram Krishnamurthy sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 47 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to high performance and low power digital circuits for microprocessors

Overview

Ram Krishnamurthy is affiliated with Intel in the United States, contributing extensively to the fields of engineering and computer science. Their research primarily spans electrical and electronic engineering, with a focus on hardware and architecture as well as several specialized subfields including computer vision and pattern recognition, artificial intelligence, and radiology, nuclear medicine, and imaging.

The scope of their scientific work covers multiple advanced topics, including:

  • Advanced Memory and Neural Computing
  • Low-power high-performance VLSI design
  • Advanced DC-DC Converters
  • Ferroelectric and Negative Capacitance Devices
  • Parallel Computing and Optimization Techniques
  • Multilevel Inverters and Converters
  • VLSI and Analog Circuit Testing

Krishnamurthy has published research in a variety of respected venues, notably:

  • IEEE Journal of Solid-State Circuits
  • IEEE Solid-State Circuits Letters
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • 2022 IEEE International Solid-State Circuits Conference (ISSCC)

Some of their recent papers include:

  • "DIMC: 2219TOPS/W 2569F2/b Digital In-Memory Computing Macro in 28nm Based on Approximate Arithmetic Hardware," 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • "A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS," 2020, IEEE Journal of Solid-State Circuits
  • "A 4900-μm2 839-Mb/s Side-Channel Attack-Resistant AES-128 in 14-nm CMOS With Heterogeneous Sboxes, Linear Masked MixColumns, and Dual-Rail Key Addition," 2020, IEEE Journal of Solid-State Circuits
  • "An Eight-Core RISC-V Processor With Compute Near Last Level Cache in Intel 4 CMOS," 2022, IEEE Journal of Solid-State Circuits
  • "DIMCA: An Area-Efficient Digital In-Memory Computing Macro Featuring Approximate Arithmetic Hardware in 28 nm," 2023, IEEE Journal of Solid-State Circuits

Throughout their career, Krishnamurthy has collaborated frequently with several coauthors, including Gregory K. Chen, Phil Knag, Amit Agarwal, Mingoo Seok, and Mark Anders. These collaborations reflect a consistent engagement with experts across various subfields relevant to the integrated circuits and VLSI system design domain.

In recognition of their work, Krishnamurthy was named an IEEE Fellow in 2011. The award citation credits contributions to high performance and low power digital circuits designed for microprocessors.

Best Publications

  • Near-threshold voltage (NTV) design: opportunities and challenges

    Himanshu Kaul;Mark Anders;Steven Hsu;Amit Agarwal

  • 16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS

    Sanu K. Mathew;Sudhir K. Satpathy;Mark A. Anders;Himanshu Kaul

  • A sub-130-nm conditional keeper technique

    A. Alvandpour;R.K. Krishnamurthy;K. Soumyanath;S.Y. Borkar

  • A 4-GHz 130-nm address generation unit with 32-bit sparse-tree adder core

    S. Mathew;M. Anders;R.K. Krishnamurthy;S. Borkar

  • 2.4 Gbps, 7 mW All-Digital PVT-Variation Tolerant True Random Number Generator for 45 nm CMOS High-Performance Microprocessors

    S. K. Mathew;S. Srinivasan;M. A. Anders;H. Kaul

  • A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS

    Gregory K. Chen;Raghavan Kumar;H. Ekin Sumbul;Phil C. Knag

  • 53 Gbps Native ${ m GF}(2 ^{4}) ^{2}$ Composite-Field AES-Encrypt/Decrypt Accelerator for Content-Protection in 45 nm High-Performance Microprocessors

    S K Mathew;F Sheikh;M Kounavis;S Gueron

  • 340 mV–1.1 V, 289 Gbps/W, 2090-Gate NanoAES Hardware Accelerator With Area-Optimized Encrypt/Decrypt GF(2 4 ) 2 Polynomials in 22 nm Tri-Gate CMOS

    Sanu Mathew;Sudhir Satpathy;Vikram Suresh;Mark Anders

  • Comparison of high-performance VLSI adders in the energy-delay space

    V.G. Oklobdzija;B.R. Zeydel;H.Q. Dao;S. Mathew

  • High-performance and low-power challenges for sub-70 nm microprocessor circuits

    R.K. Krishnarnurthy;A. Alvandpour;V. De;S. Borkar

  • A 320 mV 56 μW 411 GOPS/Watt Ultra-Low Voltage Motion Estimation Accelerator in 65 nm CMOS

    H. Kaul;M.A. Anders;S.K. Mathew;S.K. Hsu

  • A 4-GHz 300-mW 64-bit integer execution ALU with dual supply voltages in 90-nm CMOS

    S.K. Mathew;M.A. Anders;B. Bloechel;Trang Nguyen

  • An improved unified scalable radix-2 Montgomery multiplier

    D. Harris;R. Krishnamurthy;M. Anders;S. Mathew

  • A 4-fJ/b Delay-Hardened Physically Unclonable Function Circuit With Selective Bit Destabilization in 14-nm Trigate CMOS

    Sudhir Satpathy;Sanu K. Mathew;Vikram Suresh;Mark A. Anders

  • $\mu $ RNG: A 300–950 mV, 323 Gbps/W All-Digital Full-Entropy True Random Number Generator in 14 nm FinFET CMOS

    Sanu K. Mathew;David Johnston;Sudhir Satpathy;Vikram Suresh

  • A process variation compensating technique with an on-die leakage current sensor for nanometer scale dynamic circuits

    C.H. Kim;K. Roy;S. Hsu;R. Krishnamurthy

  • A 110 GOPS/W 16-bit multiplier and reconfigurable PLA loop in 90-nm CMOS

    S.K. Hsu;S.K. Mathew;M.A. Anders;B.R. Zeydel

  • Energy-delay estimation technique for high-performance microprocessor VLSI adders

    V.G. Oklobdzija;B.R. Zeydel;H. Dao;S. Mathew

  • A 130-nm 6-GHz 256 /spl times/ 32 bit leakage-tolerant register file

    R.K. Krishnamurthy;A. Alvandpour;G. Balamurugan;N.R. Shanbhag

  • Reconfigurable Computing: Architectures, Tools and Applications

    Andreas Koch;Ram Krishnamurthy;John McAllister;Roger Woods

Frequent Co-Authors

Sanu Mathew
Sanu Mathew Intel (United States)
Mark A. Anders
Mark A. Anders Intel (United States)
Raghavan Kumar
Raghavan Kumar Intel (United States)
Shekhar Borkar
Shekhar Borkar Qualcomm (United States)
Vivek De
Vivek De Intel (United States)
Sasikanth Manipatruni
Sasikanth Manipatruni Intel (United States)
Vojin G. Oklobdzija
Vojin G. Oklobdzija University of California, Davis
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Siva G. Narendra
Siva G. Narendra Tyfone, Inc.
Chris H. Kim
Chris H. Kim University of Minnesota

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