World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7497
World Ranking
6253
National Ranking
2796

Gagan Agrawal 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 Gagan Agrawal 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Gagan Agrawal 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 Gagan Agrawal 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.

Overview

Gagan Agrawal is affiliated with Augusta University in the United States and has a research portfolio that spans the fields of Computer Science and Medicine. Their work is particularly focused on interdisciplinary topics that intersect technology and health outcomes.

The scientist's primary fields of study include:

  • Computer Science
  • Medicine

Within these fields, Agrawal's research further specializes in subfields such as:

  • Artificial Intelligence
  • Oncology
  • Economics and Econometrics
  • Computer Vision and Pattern Recognition
  • Information Systems

Main topics covered in their publications reflect the intersection of technology, healthcare, and economics, including:

  • Economic and Financial Impacts of Cancer
  • Advanced Graph Neural Networks
  • Privacy-Preserving Technologies in Data
  • Global Cancer Incidence and Screening
  • Childhood Cancer Survivors' Quality of Life
  • Blockchain Technology Applications and Security
  • Graph Theory and Algorithms

Agrawal has published in multiple academic venues, with frequent publications in:

  • Clinical Lymphoma Myeloma & Leukemia
  • arXiv (Cornell University)
  • 2021 IEEE International Conference on Big Data (Big Data)
  • Blood Advances
  • JAAD International

Their recent papers illustrate a focus on the convergence of social determinants of health and oncologic outcomes, as well as contributions to machine learning and data privacy methodologies. Notable recent publications include:

  • "Disparities in survival of hematologic malignancies in the context of social determinants of health: a systematic review," 2023, Blood Advances
  • "The interaction between social determinants of health and cervical cancer survival: A systematic review," 2023, Gynecologic Oncology
  • "Tweets can tell: activity recognition using hybrid gated recurrent neural networks," 2020, Social Network Analysis and Mining
  • "The intersection of melanoma survival and social determinants of health in the United States: A systematic review," 2024, JAAD International
  • "Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices," 2021, 2021 IEEE International Conference on Big Data (Big Data)

Agrawal frequently collaborates with other researchers, with the most common coauthors being:

  • E. Andrew Balas
  • Jorge E. Cortés
  • Marisol Miranda Galvis
  • Rajiv Ramnath
  • Kellen Cristine Tjioe

Best Publications

  • Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments

    Qian Zhu;G. Agrawal

  • Efficient decision tree construction on streaming data

    Ruoming Jin;Gagan Agrawal

  • Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance.

    Ruoming Jin;Gagan Agrawal

  • Shared memory parallelization of data mining algorithms: techniques, programming interface, and performance

    Ruoming Jin;Ge Yang;G. Agrawal

  • Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

    Vignesh T. Ravi;Michela Becchi;Gagan Agrawal;Srimat Chakradhar

  • A Map-Reduce System with an Alternate API for Multi-core Environments

    Wei Jiang;Vignesh T. Ravi;Gagan Agrawal

  • An algorithm for in-core frequent itemset mining on streaming data

    Ruoming Jin;G. Agrawal

  • A linear speedup analysis of distributed deep learning with sparse and quantized communication

    Peng Jiang;Gagan Agrawal

  • Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations

    Vignesh T. Ravi;Wenjing Ma;David Chiu;Gagan Agrawal

  • Power-Aware Consolidation of Scientific Workflows in Virtualized Environments

    Qian Zhu;Jiedan Zhu;Gagan Agrawal

  • Fast and exact out-of-core and distributed k -means clustering

    Ruoming Jin;Anjan Goswami;Gagan Agrawal

  • Communication and Memory Efficient Parallel Decision Tree Construction.

    Ruoming Jin;Gagan Agrawal

  • Shared memory parallelization of data mining algorithms: techniques, programming interface, and performance

    Unknown

  • DNNFusion: accelerating deep neural networks execution with advanced operator fusion

    Wei Niu;Jiexiong Guan;Yanzhi Wang;Gagan Agrawal

  • Accelerating MapReduce on a coupled CPU-GPU architecture

    Linchuan Chen;Xin Huo;Gagan Agrawal

  • Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs

    Aravind Acharya;Uday Bondhugula;Albert Cohen

  • An integrated runtime and compile-time approach for parallelizing structured and block structured applications

    G. Agrawal;A. Sussman;J. Saltz

  • Communication and memory optimal parallel data cube construction

    R. Jin;K. Vaidyanathan;G. Yang;G. Agrawal

  • A Framework for Elastic Execution of Existing MPI Programs

    Aarthi Raveendran;Tekin Bicer;Gagan Agrawal

  • SciMATE: A Novel MapReduce-Like Framework for Multiple Scientific Data Formats

    Yi Wang;Wei Jiang;Gagan Agrawal

  • GATES: a grid-based middleware for processing distributed data streams

    Liang Chen;K. Reddy;G. Agrawal

  • A Middleware for Developing Parallel Data Mining Applications.

    Ruoming Jin;Gagan Agrawal

Frequent Co-Authors

Ruoming Jin
Ruoming Jin Kent State University
Joel H. Saltz
Joel H. Saltz Stony Brook University
Bin Ren
Bin Ren Xiamen University
Alan Sussman
Alan Sussman University of Maryland, College Park
Sriram Krishnamoorthy
Sriram Krishnamoorthy University of California, Santa Barbara
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Guang R. Gao
Guang R. Gao University of Delaware
Lori Pollock
Lori Pollock University of Delaware
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
P. Sadayappan
P. Sadayappan University of Utah

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