World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7017
World Ranking
6605
National Ranking
2917

Saugata Ghose 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 Saugata Ghose 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Saugata Ghose 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 Saugata Ghose 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Saugata Ghose is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily focuses on areas within computer science and engineering, with significant contributions to electrical and electronic engineering, computer networks and communications, hardware and architecture, artificial intelligence, and information systems.

The main topics covered in their research include:

  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Cloud Computing and Resource Management
  • Advanced Neural Network Applications
  • Distributed Systems and Fault Tolerance

Saugata Ghose has authored numerous papers published in various venues. Notable recent papers include:

  • "GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis," 2021, Bilkent University Institutional Repository (Bilkent University)
  • "DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks," 2021, Repository for Publications and Research Data (ETH Zurich)
  • "BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows," 2021, arXiv (Cornell University)
  • "Accelerating Neural Network Inference With Processing-in-DRAM: From the Edge to the Cloud," 2022, IEEE Micro
  • "A Modern Primer on Processing in Memory," 2020, arXiv (Cornell University)

Their frequent publication venues reflect a strong presence in both preprint repositories and established journals, including:

  • arXiv (Cornell University)
  • IEEE Access
  • Bilkent University Institutional Repository (Bilkent University)
  • Repository for Publications and Research Data (ETH Zurich)
  • IEEE Micro

Saugata Ghose collaborates regularly with several researchers in the field. Among their most frequent co-authors are:

  • Onur Mutlu
  • Juan Gómez-Luna
  • Amirali Boroumand
  • Geraldo F. Oliveira
  • Jeremie S. Kim

Best Publications

  • Error Characterization, Mitigation, and Recovery in Flash-Memory-Based Solid-State Drives

    Yu Cai;Saugata Ghose;Erich F. Haratsch;Yixin Luo

  • Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks

    Amirali Boroumand;Saugata Ghose;Youngsok Kim;Rachata Ausavarungnirun

  • Processing data where it makes sense: Enabling in-memory computation

    Onur Mutlu;Onur Mutlu;Saugata Ghose;Juan Gómez-Luna;Rachata Ausavarungnirun;Rachata Ausavarungnirun

  • Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM

    Kevin K. Chang;Prashant J. Nair;Donghyuk Lee;Saugata Ghose

  • Read Disturb Errors in MLC NAND Flash Memory: Characterization, Mitigation, and Recovery

    Yu Cai;Yixin Luo;Saugata Ghose;Onur Mutlu

  • GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies.

    Jeremie S. Kim;Jeremie S. Kim;Damla Senol Cali;Hongyi Xin;Donghyuk Lee

  • Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation

    Kevin Hsieh;Samira Khan;Nandita Vijaykumar;Kevin K. Chang

  • Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

    Damla Senol Cali;Jeremie S Kim;Jeremie S Kim;Saugata Ghose;Can Alkan

  • Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization

    Kevin K. Chang;Abhijith Kashyap;Hasan Hassan;Saugata Ghose

  • LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory

    Amirali Boroumand;Saugata Ghose;Minesh Patel;Hasan Hassan

  • Vulnerabilities in MLC NAND Flash Memory Programming: Experimental Analysis, Exploits, and Mitigation Techniques

    Yu Cai;Saugata Ghose;Yixin Luo;Yixin Luo;Ken Mai

  • Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms

    Kevin K. Chang;Abdullah Giray Yağlıkçı;Saugata Ghose;Aditya Agrawal

  • Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation

    Yixin Luo;Saugata Ghose;Yu Cai;Erich F. Haratsch

  • Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost

    Donghyuk Lee;Saugata Ghose;Gennady Pekhimenko;Samira Khan

  • Mosaic: a GPU memory manager with application-transparent support for multiple page sizes

    Rachata Ausavarungnirun;Joshua Landgraf;Vance Miller;Saugata Ghose

  • Processing-in-memory: A workload-driven perspective

    Saugata Ghose;Amirali Boroumand;Jeremie S. Kim;Juan Gómez-Luna

  • WARM: Improving NAND flash memory lifetime with write-hotness aware retention management

    Yixin Luo;Yu Cai;Saugata Ghose;Jongmoo Choi

  • SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies

    Hasan Hassan;Nandita Vijaykumar;Samira Khan;Saugata Ghose

  • A Modern Primer on Processing in Memory.

    Onur Mutlu;Saugata Ghose;Juan Gómez-Luna;Rachata Ausavarungnirun

  • HeatWatch: Improving 3D NAND Flash Memory Device Reliability by Exploiting Self-Recovery and Temperature Awareness

    Yixin Luo;Saugata Ghose;Yu Cai;Erich F. Haratsch

  • Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms

    Donghyuk Lee;Samira Khan;Lavanya Subramanian;Saugata Ghose

  • MQsim: a framework for enabling realistic studies of modern multi-queue SSD devices

    Arash Tavakkol;Juan Gómez-Luna;Mohammad Sadrosadati;Saugata Ghose

  • Read Disturb Errors in MLC NAND Flash Memory

    Yu Cai;Yixin Luo;Saugata Ghose;Erich F. Haratsch

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Donghyuk Lee
Donghyuk Lee Nvidia (United States)
Gennady Pekhimenko
Gennady Pekhimenko University of Toronto
Can Alkan
Can Alkan Bilkent University
Chita R. Das
Chita R. Das Pennsylvania State University
Ken Mai
Ken Mai Carnegie Mellon University
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Jongmoo Choi
Jongmoo Choi University of Southern California
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
Jie Liu
Jie Liu Harbin Institute of Technology

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