World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
16312
World Ranking
5222
National Ranking
2401

Rich Wolski 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 Rich Wolski 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Rich Wolski 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 Rich Wolski 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Rich Wolski is affiliated with the University of California, Santa Barbara in the United States. Their research work spans primarily across the field of Computer Science, with focused contributions in several subfields including Information Systems, Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition, and Environmental Engineering.

The main topics of Wolski's research cover Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Scientific Computing and Data Management, Blockchain Technology Applications and Security, Software Engineering Techniques and Practices, Distributed and Parallel Computing Systems, and Software System Performance and Reliability.

Wolski has published research in a variety of venues. Notable frequent publication venues include Software Practice and Experience, arXiv (Cornell University), Practice and Experience in Advanced Research Computing, Journal of Edge Computing, and Sensors.

Selected recent papers authored or coauthored by Wolski include:

  • Edge-adaptable serverless acceleration for machine learning Internet of Things applications, 2020, Software Practice and Experience
  • On the Future of Cloud Engineering, 2021, Enlighten: Publications (The University of Glasgow)
  • Reproducible and Portable Workflows for Scientific Computing and HPC in the Cloud, 2020, Practice and Experience in Advanced Research Computing
  • Collaborative experience between scientific software projects using Agile Scrum development, 2022, Software Practice and Experience
  • Collaborative Experience between Scientific Software Projects using Agile Scrum Development, 2021, arXiv (Cornell University)

Frequent coauthors in Wolski's publications include Chandra Krintz, Adam Brazier, Michael Zhang, Amanda L. Baxter, and S. BenZvi.

Best Publications

  • The Eucalyptus Open-Source Cloud-Computing System

    Daniel Nurmi;Rich Wolski;Chris Grzegorczyk;Graziano Obertelli

  • The network weather service: a distributed resource performance forecasting service for metacomputing

    Rich Wolski;Neil T. Spring;Jim Hayes

  • Application-Level Scheduling on Distributed Heterogeneous Networks

    Francine D. Berman;Rich Wolski;Silvia Figueira;Jennifer Schopf

  • Adaptive computing on the Grid using AppLeS

    F. Berman;R. Wolski;H. Casanova;W. Cirne

  • Dynamically forecasting network performance using the Network Weather Service

    Rich Wolski

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    H. Casanova;F. Berman;G. Obertelli;R. Wolski

  • Analyzing Market-Based Resource Allocation Strategies for the Computational Grid

    Rich Wolski;James S. Plank;John Brevik;Todd Bryan

  • The GrADS Project: Software Support for High-Level Grid Application Development

    Francine Berman;Andrew Chien;Keith Cooper;Jack Dongarra

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    Unknown

  • Predicting the CPU availability of time-shared Unix systems on the computational grid

    Rich Wolski;Neil Spring;Jim Hayes

  • Forecasting network performance to support dynamic scheduling using the network weather service

    R. Wolski

  • G-commerce: market formulations controlling resource allocation on the computational grid

    R. Wolski;J.S. Plank;T. Bryan;J. Brevik

  • Modeling machine availability in enterprise and wide-area distributed computing environments

    Daniel Nurmi;John Brevik;Rich Wolski

  • Experiences with predicting resource performance on-line in computational grid settings

    Rich Wolski

  • Implementing a Performance Forecasting System for Metacomputing The Network Weather Service

    Rich Wolski;Neil Spring;Chris Peterson

  • Scheduling from the perspective of the application

    F. Berman;R. Wolski

  • Grid Resource Allocation and Control Using Computational Economies

    Rich Wolski;John Brevik;James S. Plank;Todd Bryan

  • Toward a framework for preparing and executing adaptive grid programs

    K. Kennedy;M. Mazina;J. Mellor-Crummey;K. Cooper

  • Using bandwidth data to make computation offloading decisions

    R. Wolski;S. Gurun;C. Krintz;D. Nurmi

  • Master/slave computing on the Grid

    G. Shao;F. Berman;R. Wolski

  • Paravirtualization for HPC systems

    Lamia Youseff;Rich Wolski;Brent Gorda;Chandra Krintz

Frequent Co-Authors

Chandra Krintz
Chandra Krintz University of California, Santa Barbara
James S. Plank
James S. Plank University of Tennessee at Knoxville
Francine Berman
Francine Berman Rensselaer Polytechnic Institute
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Henri Casanova
Henri Casanova University of Hawaii at Manoa
Neil Spring
Neil Spring University of Maryland, College Park
Ian Foster
Ian Foster University of Chicago
Dennis Gannon
Dennis Gannon Indiana University
Carl Kesselman
Carl Kesselman University of Southern California
Andrew A. Chien
Andrew A. Chien University of Chicago

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

Exploring computer science in the USA opens doors to a wide range of related online degrees and career options. Students can enhance their career prospects by considering interdisciplinary programs that blend technology and science, or specialize in rapidly growing fields like data science and electrical engineering.

For those prioritizing affordability, check out the cheapest online physics degree options, which offer strong STEM preparation for tech careers. Similarly, students interested in big data can explore data science programs that are both reputable and budget-friendly.

Engineering-minded students may benefit from exploring the online electrical engineering degree ranking to find top-ranked programs that fit different learning goals. Additionally, if you’re seeking faster entry into the workforce, consider easy certifications that pay well to build in-demand skills and boost career opportunities alongside your studies.

With these flexible choices, you can tailor your educational journey in computer science and related disciplines to meet your career goals and financial needs.

Best Scientists Citing Rich Wolski

Trending Scientists

Recently Published Articles