World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
11449
World Ranking
4339
National Ranking
2033

Robert Ross 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 Robert Ross 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Robert Ross 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 Robert Ross 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Robert Ross is affiliated with Argonne National Laboratory in the United States and specializes in computer science, with significant contributions in advanced data storage technologies and distributed computing systems. Their research covers several core areas, including computer networks and communications, information systems, and hardware and architecture.

The scientist's work prominently focuses on several main topics: advanced data storage technologies, distributed and parallel computing systems, parallel computing and optimization techniques, cloud computing and resource management, simulation techniques and applications, advanced neural network applications, and advanced database systems and queries.

Frequent coauthors in Robert Ross's research include Philip Carns, Matthieu Dorier, Kevin Harms, Bradley W. Settlemyer, and Wei-keng Liao, indicating collaboration within the domain of high-performance computing and related fields.

Ross has published in various reputable venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Computer Science and Technology
  • Computing in Science & Engineering
  • IEEE Transactions on Parallel and Distributed Systems

Some notable recent papers authored by Robert Ross are:

  • Mochi: Composing Data Services for High-Performance Computing Environments, 2020, Journal of Computer Science and Technology

Other relevant work published in the same timeframe and venues include:

  • Ad Hoc File Systems for High-Performance Computing, 2020, Journal of Computer Science and Technology
  • Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation, 2020, IEEE Transactions on Parallel and Distributed Systems
  • A case study on parallel HDF5 dataset concatenation for high energy physics data analysis, 2021, Parallel Computing
  • It's Time to Talk About HPC Storage: Perspectives on the Past and Future, 2021, Computing in Science & Engineering

Robert Ross's research has contributed significantly to understanding and addressing challenges in high-performance computing environments, with emphasis on data services, file systems, and input/output operations in distributed systems.

Best Publications

  • PVFS: a parallel file system for linux clusters

    Philip H. Carns;Walter B. Ligon;Robert B. Ross;Rajeev Thakur

  • Understanding and improving computational science storage access through continuous characterization

    Philip Carns;Kevin Harms;William Allcock;Charles Bacon

  • Parallel netCDF: A High-Performance Scientific I/O Interface

    Jianwei Li;Wei-keng Liao;Alok Choudhary;Robert Ross

  • On the role of burst buffers in leadership-class storage systems

    Ning Liu;Jason Cope;Philip Carns;Christopher Carothers

  • 24/7 Characterization of petascale I/O workloads

    Philip Carns;Robert Latham;Robert Ross;Kamil Iskra

  • Scalable I/O forwarding framework for high-performance computing systems

    Nawab Ali;Philip Carns;Kamil Iskra;Dries Kimpe

  • Compressing the incompressible with ISABELA: in-situ reduction of spatio-temporal data

    Sriram Lakshminarasimhan;Neil Shah;Stephane Ethier;Scott Klasky

  • I/O performance challenges at leadership scale

    Samuel Lang;Philip Carns;Robert Latham;Robert Ross

  • DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

    Robert Lucas;James Ang;Keren Bergman;Shekhar Borkar

  • Small-file access in parallel file systems

    Philip Carns;Sam Lang;Robert Ross;Murali Vilayannur

  • The Top 10 Challenges in Extreme-Scale Visual Analytics

    Pak Chung Wong;Han-Wei Shen;Christopher R. Johnson;Chaomei Chen

  • CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination

    Matthieu Dorier;Gabriel Antoniu;Robert B. Ross;Dries Kimpe

  • FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems

    Dongfang Zhao;Zhao Zhang;Xiaobing Zhou;Tonglin Li

  • Enabling Parallel Simulation of Large-Scale HPC Network Systems

    Misbah Mubarak;Christopher D. Carothers;Robert B. Ross;Philip Carns

  • A Multiplatform Study of I/O Behavior on Petascale Supercomputers

    Huong Luu;Marianne Winslett;William Gropp;Robert Ross

  • Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems

    Haryadi S. Gunawi;Riza O. Suminto;Russell Sears;Casey Golliher

  • A Case Study in Application I/O on Linux Clusters

    Robert Ross;Daniel Nurmi;Albert Cheng;Michael Zingale

  • On the duality of data-intensive file system design: reconciling HDFS and PVFS

    Wittawat Tantisiriroj;Seung Woo Son;Swapnil Patil;Samuel J. Lang

  • A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields

    Tom Peterka;Robert Ross;Boonthanome Nouanesengsy;Teng-Yok Lee

  • Parallel ptychographic reconstruction.

    Youssef S. G. Nashed;David J. Vine;Tom Peterka;Junjing Deng

  • Implementation and performance of a parallel file system for high performance distributed applications

    W.B. Ligon;R.B. Ross

Frequent Co-Authors

Rajeev Thakur
Rajeev Thakur Argonne National Laboratory
Alok Choudhary
Alok Choudhary Northwestern University
Wei-keng Liao
Wei-keng Liao Northwestern University
Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Nagiza F. Samatova
Nagiza F. Samatova North Carolina State University
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Han-Wei Shen
Han-Wei Shen The Ohio State University
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Valerio Pascucci
Valerio Pascucci University of Utah

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