World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5758
World Ranking
13447
National Ranking
5378

Norbert Podhorszki 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 Norbert Podhorszki 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: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Norbert Podhorszki 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 Norbert Podhorszki 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Norbert Podhorszki is affiliated with Oak Ridge National Laboratory in the United States. Their research is principally situated within the field of computer science, focusing notably on distributed and parallel computing systems, advanced data storage technologies, and scientific computing and data management.

The scientist's work covers a range of specialized topics including:

  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Scientific Computing and Data Management
  • Parallel Computing and Optimization Techniques
  • Algorithms and Data Compression
  • Magnetic Confinement Fusion Research
  • Seismic Imaging and Inversion Techniques

Podhorszki's subfields of study emphasize computer networks and communications, information systems and management, artificial intelligence, computer vision and pattern recognition, as well as hardware and architecture.

  • Computer Networks and Communications
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

The scientist has published extensively, with recent papers including:

  • Global adjoint tomography-model GLAD-M25 (2020) in Geophysical Journal International
  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management (2020) in SoftwareX
  • A terminology for in situ visualization and analysis systems (2020) in The International Journal of High Performance Computing Applications
  • MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction (2021) in IEEE Transactions on Computers
  • Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization (2021) in IEEE Transactions on Parallel and Distributed Systems

Frequent co-authors collaborating with Podhorszki include:

  • Scott Klasky
  • Lipeng Wan
  • Jieyang Chen
  • David Pugmire

Podhorszki has contributed multiple publications to prominent venues such as:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • IEEE Transactions on Parallel and Distributed Systems
  • Geophysical Journal International
  • SoftwareX

Best Publications

  • Terascale direct numerical simulations of turbulent combustion using S3D

    J. H. Chen;A. Choudhary;B. De Supinski;M. Devries

  • Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)

    Jay F. Lofstead;Scott Klasky;Karsten Schwan;Norbert Podhorszki

  • Global adjoint tomography: first-generation model

    Ebru Bozdağ;Daniel Peter;Matthieu Lefebvre;Dimitri Komatitsch

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

    Qing Liu;Jeremy Logan;Yuan Tian;Hasan Abbasi

  • PreDatA – preparatory data analytics on peta-scale machines

    Fang Zheng;Hasan Abbasi;Ciprian Docan;Jay Lofstead

  • R-GMA: An Information Integration System for Grid Monitoring

    Andrew W. Cooke;Alasdair J. G. Gray;Lisha Ma;Werner Nutt

  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

    William F. Godoy;Norbert Podhorszki;Ruonan Wang;Chuck Atkins

  • The Relational Grid Monitoring Architecture: Mediating Information about the Grid

    Andrew W. Cooke;Alasdair J. G. Gray;Werner Nutt;James Magowan

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Characterizing output bottlenecks in a supercomputer

    Bing Xie;Jeffrey Chase;David Dillow;Oleg Drokin

  • P-GRADE: a grid programming environment

    Péter Kacsuk;Gábor Dózsa;József Kovács;Róbert Lovas

  • Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform

    Fan Zhang;Ciprian Docan;Manish Parashar;Scott Klasky

  • Flexpath: type-based publish/subscribe system for large-scale science analytics

    Jai Dayal;Drew Bratcher;Greg Eisenhauer;Karsten Schwan

  • FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics

    Fang Zheng;Hongbo Zou;Greg Eisenhauer;Karsten Schwan

  • Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data

    Tao Lu;Qing Liu;Xubin He;Huizhang Luo

  • Examples of in transit visualization

    Kenneth Moreland;Ron Oldfield;Pat Marion;Sebastien Jourdain

  • EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization

    Yuan Tian;Scott Klasky;Hasan Abbasi;Jay Lofstead

  • Parallel in situ indexing for data-intensive computing

    Jinoh Kim;Hasan Abbasi;Luis Chacon;Ciprian Docan

  • Relational Grid monitoring architecture (R-GMA)

    Rob Byrom;Brian A. Coghlan;Andrew W. Cooke;Roney Cordenonsi

  • An Adaptable Seismic Data Format

    Lion Krischer;James Smith;Wenjie Lei;Matthieu Lefebvre

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Manish Parashar
Manish Parashar University of Utah
Péter Kacsuk
Péter Kacsuk MTA SZTAKI Laboratory of Parallel and Distributed Systems
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Tahsin Kurc
Tahsin Kurc Stony Brook University
Mark Ainsworth
Mark Ainsworth Brown University
Jeroen Tromp
Jeroen Tromp Princeton University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Arie Shoshani
Arie Shoshani Lawrence Berkeley National Laboratory
Cláudio T. Silva
Cláudio T. Silva New York University

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