World's Best Scientists 2026 revealed!
Rajeev Balasubramonian

Rajeev Balasubramonian

D-Index & Metrics

Computer Science

D-Index
48
Citations
12104
World Ranking
6085
National Ranking
2740

Rajeev Balasubramonian 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 Rajeev Balasubramonian 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Rajeev Balasubramonian 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 Rajeev Balasubramonian 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to in-memory computation and memory interface design

Overview

Rajeev Balasubramonian is affiliated with the University of Utah in the United States. Their research spans multiple fields within computer science and engineering, with particular emphasis on areas such as cryptography, data security, semiconductor materials, and advanced memory technologies.

The main fields of study related to their work include:

  • Computer Science
  • Engineering

They have contributed to several subfields, notably:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Molecular Biology
  • Communication

Key topics of Rajeev Balasubramonian's research cover:

  • Cryptography and Data Security
  • Complexity and Algorithms in Graphs
  • Semiconductor Materials and Devices
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Quantum-Dot Cellular Automata
  • Neural Networks and Reservoir Computing

Their recent publications demonstrate a focus on emerging computing technologies, memory architectures, and secure data processing. Notable papers include:

  • "Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion," 2022, IEEE Micro
  • "Efficient Oblivious Query Processing for Range and kNN Queries," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "A Multiply-and-Accumulate Array for Machine Learning Applications Based on a 3D Nanofabric Flow," 2021, IEEE Transactions on Nanotechnology
  • "XCRYPT: Accelerating Lattice-Based Cryptography With Memristor Crossbar Arrays," 2023, IEEE Micro
  • "Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract)," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Frequent co-authors with whom they have collaborated include:

  • Zhao Chang
  • Dong Xie
  • Feifei Li
  • Jeff M. Phillips
  • Elaine Shi

Rajeev Balasubramonian has published multiple papers in recognized venues such as:

  • IEEE Micro
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Nanotechnology
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

They were recognized as an IEEE Fellow in 2021 for contributions to in-memory computation and memory interface design.

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

  • Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures

    Rajeev Balasubramonian;David Albonesi;Alper Buyuktosunoglu;Sandhya Dwarkadas

  • Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling

    G. Semeraro;G. Magklis;R. Balasubramonian;D.H. Albonesi

  • 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

  • Reducing the complexity of the register file in dynamic superscalar processors

    Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

  • NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads

    Seth H. Pugsley;Jeffrey Jestes;Huihui Zhang;Rajeev Balasubramonian

  • Micro-pages: increasing DRAM efficiency with locality-aware data placement

    Kshitij Sudan;Niladrish Chatterjee;David Nellans;Manu Awasthi

  • Near-Data Processing: Insights from a MICRO-46 Workshop

    Rajeev Balasubramonian;Jichuan Chang;Troy Manning;Jaime H. Moreno

  • Dynamically tuning processor resources with adaptive processing

    D.H. Albonesi;R. Balasubramonian;S.G. Dropsbo;S. Dwarkadas

  • Multiple clock domain microprocessor

    David Albonesi;Greg Semeraro;Grigorios Magklis;Michael L. Scott

  • Leveraging 3D Technology for Improved Reliability

    Niti Madan;Rajeev Balasubramonian

  • Efficiently prefetching complex address patterns

    Manjunath Shevgoor;Sahil Koladiya;Rajeev Balasubramonian;Chris Wilkerson

  • CHOP: Adaptive filter-based DRAM caching for CMP server platforms

    Xiaowei Jiang;Niti Madan;Li Zhao;Mike Upton

  • Dynamically managing the communication-parallelism trade-off in future clustered processors

    Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

  • Handling the problems and opportunities posed by multiple on-chip memory controllers

    Manu Awasthi;David W. Nellans;Kshitij Sudan;Rajeev Balasubramonian

  • Integrating adaptive on-chip storage structures for reduced dynamic power

    S. Dropsho;A. Buyuktosunoglu;R. Balasubramonian;D.H. Albonesi

Frequent Co-Authors

Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Sandhya Dwarkadas
Sandhya Dwarkadas University of Rochester
David H. Albonesi
David H. Albonesi Cornell University
David Nellans
David Nellans Nvidia (United States)
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Alper Buyuktosunoglu
Alper Buyuktosunoglu IBM (United States)
Michael L. Scott
Michael L. Scott University of Rochester
Feifei Li
Feifei Li Alibaba Group (China)
Pierre-Emmanuel Gaillardon
Pierre-Emmanuel Gaillardon University of Utah
Yan Solihin
Yan Solihin University of Central Florida

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering studying Computer Science in the USA, exploring related online degrees can expand your skills and open new career doors. Pursuing online mba programs affordable is an excellent path for those aiming to blend technical and business leadership, especially in roles like tech management or entrepreneurship.

For those seeking quicker advancement, options like 1 year masters degree programs offer accelerated learning and can help you progress without spending years in school. There are also fast degrees online that focus on career-ready skills, allowing you to enter the workforce sooner and start earning in high-demand tech fields.

As artificial intelligence continues to reshape the job market, enrolling in one of the best online ai degrees can position you at the forefront of innovation. Choosing the right degree depends on your career goals, available time, and budget, but online pathways make advanced education more accessible than ever before.

Best Scientists Citing Rajeev Balasubramonian

Trending Scientists

Recently Published Articles