World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
14601
World Ranking
2913
National Ranking
1434

Pradeep Dubey 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 Pradeep Dubey 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Pradeep Dubey 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 Pradeep Dubey 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: 62 D-Index — 80th percentile

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

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

Overview

Pradeep Dubey is affiliated with Intel in the United States and has contributed extensively to research in Agricultural and Biological Sciences, with a focus on Soil Science, Plant Science, Agronomy and Crop Science, Artificial Intelligence, and Ecology.

The scientist's research covers multiple key topics including:

  • Soil Carbon and Nitrogen Dynamics
  • Agriculture Sustainability and Environmental Impact
  • Rice Cultivation and Yield Improvement
  • Bioenergy Crop Production and Management
  • Climate Change Impacts on Agriculture
  • Crop Yield and Soil Fertility
  • Parallel Computing and Optimization Techniques

Pradeep Dubey has published in a variety of venues, commonly appearing in:

  • arXiv (Cornell University)
  • Land Degradation and Development
  • Journal of Environmental Management
  • Current Research in Environmental Sustainability
  • Ecological Indicators

Some of the recent papers authored or co-authored by Pradeep Dubey include:

  • Steering the restoration of degraded agroecosystems during the United Nations Decade on Ecosystem Restoration, 2020, Journal of Environmental Management
  • Planet friendly agriculture: Farming for people and the planet, 2021, Current Research in Environmental Sustainability
  • Low input sustainable agriculture: A viable climate-smart option for boosting food production in a warming world, 2020, Ecological Indicators
  • Combined effects of dry-wet irrigation, redox changes and microbial diversity on soil nutrient bioavailability in the rice field, 2023, Soil and Tillage Research
  • FP8 Formats for Deep Learning, 2022, arXiv (Cornell University)

The scientist collaborates frequently with peers in the field, including:

  • P.C. Abhilash
  • Ajeet Singh
  • Rajan Chaurasia
  • Sheikh Adil Edrisi
  • Deepranjan Sarkar

Best Publications

  • Larrabee: a many-core x86 architecture for visual computing

    Larry Seiler;Doug Carmean;Eric Sprangle;Tom Forsyth

  • Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU

    Victor W. Lee;Changkyu Kim;Jatin Chhugani;Michael Deisher

  • Efficient rijndael encryption implementation with composite field arithmetic

    A. Rudra;P.K. Dubey;C.S. Jutla;V. Kumar

  • AltiVec extension to PowerPC accelerates media processing

    K. Diefendorff;P.K. Dubey;R. Hochsprung;H. Scale

  • FAST: fast architecture sensitive tree search on modern CPUs and GPUs

    Changkyu Kim;Jatin Chhugani;Nadathur Satish;Eric Sedlar

  • Sort vs. Hash revisited: fast join implementation on modern multi-core CPUs

    Changkyu Kim;Tim Kaldewey;Victor W. Lee;Eric Sedlar

  • ClearPath: highly parallel collision avoidance for multi-agent simulation

    Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • 3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

    Anthony Nguyen;Nadathur Satish;Jatin Chhugani;Changkyu Kim

  • GraphMat: high performance graph analytics made productive

    Narayanan Sundaram;Nadathur Satish;Mostofa Ali Patwary;Subramanya R. Dulloor

  • How multimedia workloads will change processor design

    K. Diefendorff;P.K. Dubey

  • PLEdestrians: a least-effort approach to crowd simulation

    Stephen J. Guy;Jatin Chhugani;Sean Curtis;Pradeep Dubey

  • Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

    Nadathur Satish;Changkyu Kim;Jatin Chhugani;Anthony D. Nguyen

  • Efficient sparse matrix-vector multiplication on x86-based many-core processors

    Xing Liu;Mikhail Smelyanskiy;Edmond Chow;Pradeep Dubey

  • Efficient implementation of sorting on multi-core SIMD CPU architecture

    Jatin Chhugani;Anthony D. Nguyen;Victor W. Lee;William Macy

  • Second Life and the New Generation of Virtual Worlds

    S. Kumar;J. Chhugani;Changkyu Kim;Daehyun Kim

  • Platform 2015: Intel ® Processor and Platform Evolution for the Next Decade

    Shekhar Borkar;Pradeep Dubey;Kevin Kahn;David Kuck

  • ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks

    Swagath Venkataramani;Ashish Ranjan;Subarno Banerjee;Dipankar Das

  • Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor

    Alexander Heinecke;Karthikeyan Vaidyanathan;Mikhail Smelyanskiy;Alexander Kobotov

  • Navigating the maze of graph analytics frameworks using massive graph datasets

    Nadathur Satish;Narayanan Sundaram;Md. Mostofa Ali Patwary;Jiwon Seo

  • Method and system for controlled distribution of application code and content data within a computer network

    David John Craft;Pradeep K. Dubey;Harm Peter Hofstee;James Allan Kahle

  • A Study of BFLOAT16 for Deep Learning Training

    Dhiraj D. Kalamkar;Dheevatsa Mudigere;Naveen Mellempudi;Dipankar Das

  • GraphMat: High performance graph analytics made productive

    Narayanan Sundaram;Nadathur Rajagopalan Satish;Mostofa Ali Patwary;Subramanya R Dulloor

Frequent Co-Authors

Nadathur Satish
Nadathur Satish Facebook (United States)
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Changkyu Kim
Changkyu Kim Facebook (United States)
Michael J. Flynn
Michael J. Flynn Stanford University
Yen-Kuang Chen
Yen-Kuang Chen Alibaba Group (China)
Charanjit S. Jutla
Charanjit S. Jutla IBM (United States)
David G. Andersen
David G. Andersen Carnegie Mellon University
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Hai Li
Hai Li Duke University

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