World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5051
World Ranking
13073
National Ranking
5263

Pete Beckman 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 Pete Beckman 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Pete Beckman 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 Pete Beckman 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: 32 D-Index — 10th percentile

10% 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

  • 2009 - ACM Senior Member

Overview

Pete Beckman is affiliated with Northwestern University in the United States. Their research primarily spans the field of computer science, with a focus on several subfields including artificial intelligence, global and planetary change, computer networks and communications, computer vision and pattern recognition, and hardware and architecture.

Their work covers multiple topics, especially in parallel computing and optimization techniques, solar radiation and photovoltaics, atmospheric aerosols and clouds, cloud computing and resource management, distributed and parallel computing systems, human mobility and location-based analysis, and smart cities and technologies.

Beckman has published papers in a variety of venues, with frequent contributions to the following publication outlets:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • arXiv (Cornell University)
  • Computing in Science & Engineering
  • Artificial Intelligence for the Earth Systems
  • Atmosphere

Among their recent papers are:

  • Prediction of Solar Irradiance and Photovoltaic Solar Energy Product Based on Cloud Coverage Estimation Using Machine Learning Methods, 2021, Atmosphere
  • Measuring Cities with Software-Defined Sensors, 2020, Journal of Social Computing
  • Hands-On Computer Science: The Array of Things Experimental Urban Instrument, 2022, Computing in Science & Engineering
  • Goal-driven scheduling model in edge computing for smart city applications, 2022, Journal of Parallel and Distributed Computing
  • Waking from Paralysis: Revitalizing Conceptions of Climate Knowledge and Justice for More Effective Climate Action, 2022, The Annals of the American Academy of Political and Social Science

Frequent collaborators in Beckman's research include Rajesh Sankaran, Nicola Ferrier, Seongha Park, Yongho Kim, and Scott Collis.

In terms of recognition, Beckman was named an ACM Senior Member in 2009.

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • TeraGrid: Analysis of organization, system architecture, and middleware enabling new types of applications

    Charlie Catlett;William E. Allcock;Phil Andrews;Ruth A. Aydt

  • Distributed pC++ Basic Ideas for an Object Parallel Language

    François Bodin;Peter Beckman;Dennis Gannon;Srinivas Narayana

  • Toward loosely coupled programming on petascale systems

    Ioan Raicu;Zhao Zhang;Mike Wilde;Ian Foster

  • Argobots: A Lightweight Low-Level Threading and Tasking Framework

    Sangmin Seo;Abdelhalim Amer;Pavan Balaji;Cyril Bordage

  • ZOID: I/O-forwarding infrastructure for petascale architectures

    Kamil Iskra;John W. Romein;Kazutomo Yoshii;Pete Beckman

  • Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry

    M. Asch;T. Moore;R. Badia;M. Beck

  • Portable profiling and tracing for parallel, scientific applications using C++

    Sameer Shende;Allen D. Malony;Janice Cuny;Peter Beckman

  • Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components

    Kaicheng Zhang;Akhil Guliani;Seda Ogrenci-Memik;Gokhan Memik

  • Implementing a parallel C++ runtime system for scalable parallel systems

    A. Malony;B. Mohr;P. Beckman;D. Gannon

  • Parallel Scripting for Applications at the Petascale and Beyond

    M. Wilde;I. Foster;K. Iskra;P. Beckman

  • Towards Loosely-Coupled Programming on Petascale Systems

    Ioan Raicu;Zhao Zhang;Mike Wilde;Ian Foster

  • Array of things: a scientific research instrument in the public way: platform design and early lessons learned

    Charles E. Catlett;Peter H. Beckman;Rajesh Sankaran;Kate Kusiak Galvin

  • Benchmarking the effects of operating system interference on extreme-scale parallel machines

    Pete Beckman;Kamil Iskra;Kazutomo Yoshii;Susan Coghlan

  • The Influence of Operating Systems on the Performance of Collective Operations at Extreme Scale

    Pete Beckman;Kamil Iskra;Kazutomo Yoshii;Susan Coghlan

  • The International Exascale Software Project: a Call To Cooperative Action By the Global High-Performance Community

    Jack Dongarra;Pete Beckman;Patrick Aerts;Frank Cappello

  • SPRUCE: A System for Supporting Urgent High-Performance Computing

    Peter H. Beckman;Suman Nadella;Nick Trebon;Ivan Beschastnikh

  • Making a case for distributed file systems at Exascale

    Ioan Raicu;Ian T. Foster;Pete Beckman

  • CIFTS: A Coordinated Infrastructure for Fault-Tolerant Systems

    Rinku Gupta;Pete Beckman;Byung-Hoon Park;Ewing Lusk

  • The Inca Test Harness and Reporting Framework

    Shava Smallen;Catherine Olschanowsky;Kate Ericson;Pete Beckman

  • Prediction of Solar Irradiance and Photovoltaic Solar Energy Product Based on Cloud Coverage Estimation Using Machine Learning Methods

    Seongha Park;Yongho Kim;Nicola J. Ferrier;Scott M. Collis

Frequent Co-Authors

Ian Foster
Ian Foster University of Chicago
Ioan Raicu
Ioan Raicu Illinois Institute of Technology
Dennis Gannon
Dennis Gannon Indiana University
Allen D. Malony
Allen D. Malony University of Oregon
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Michael Wilde
Michael Wilde Argonne National Laboratory
Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Alok Choudhary
Alok Choudhary Northwestern University
William Gropp
William Gropp University of Illinois at Urbana-Champaign

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