World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
6364
World Ranking
13413
National Ranking
5367

James Ahrens 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 James Ahrens 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

James Ahrens 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 James Ahrens 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

James Ahrens is a researcher affiliated with Los Alamos National Laboratory in the United States, with a primary focus within Computer Science. Their work spans multiple subfields including Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Management, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

Their research contributions are particularly associated with topics such as Scientific Computing and Data Management, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Data Visualization and Analytics, Computer Graphics and Visualization Techniques, Cell Image Analysis Techniques, and Data Management and Algorithms.

James Ahrens has published extensively in various academic venues, with notable frequent publication outlets including:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Computing in Science & Engineering
  • The International Journal of High Performance Computing Applications
  • IEEE Computer Graphics and Applications

Several recent papers featuring their contributions are:

  • A terminology for in situ visualization and analysis systems, 2020, The International Journal of High Performance Computing Applications
  • Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Assessing K-12 school reopenings under different COVID-19 Spread scenarios - United States, school year 2020/21: A retrospective modeling study, 2022, Epidemics
  • Using an Agent-Based Model to Assess K-12 School Reopenings Under Different COVID-19 Spread Scenarios - United States, School Year 2020/21, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • An Image-Based Framework for Ocean Feature Detection and Analysis, 2021, Journal of Geovisualization and Spatial Analysis

Their research collaborations include frequent coauthors such as Terece L. Turton, Soumya Dutta, Ayan Biswas, Pascal Grosset, and Miriah Meyer. This indicates a diverse network of colleagues contributing to interdisciplinary aspects of their scientific studies.

Best Publications

  • 36 – ParaView: An End-User Tool for Large-Data Visualization

    James P. Ahrens;Berk Geveci

  • An image-based approach to extreme scale in situ visualization and analysis

    James Ahrens;Sébastien Jourdain;Patrick O'Leary;John Patchett

  • In situ methods, infrastructures, and applications on high performance computing platforms

    A. C. Bauer;H. Abbasi;J. Ahrens;H. Childs

  • Large-scale data visualization using parallel data streaming

    J. Ahrens;K. Brislawn;K. Martin;B. Geveci

  • The cosmic code comparison project

    Katrin Heitmann;Zarija Lukić;Patricia Fasel;Salman Habib

  • Interactive texture-based volume rendering for large data sets

    J. Kniss;P. McCormick;A. McPherson;J. Ahrens

  • Remote large data visualization in the paraview framework

    Andy Cedilnik;Berk Geveci;Kenneth Moreland;James Ahrens

  • A Parallel Approach for Efficiently Visualizing Extremely Large, Time-Varying Datasets

    James Ahrens;Will Schroeder;Michael Papka

  • SLIC: scheduled linear image compositing for parallel volume rendering

    A. Stompel;K.-L. Ma;E.B. Lum;J. Ahrens

  • The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps

    Roxana Bujack;Terece L. Turton;Francesca Samsel;Colin Ware

  • The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman

    Matthew Larsen;James Ahrens;Utkarsh Ayachit;Eric Brugger

  • Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis

    Patrick S. McCormick;Jeff Inman;James P. Ahrens;Charles Hansen

  • Adaptive Extraction and Quantification of Geophysical Vortices

    S. Williams;M. Petersen;P.-T Bremer;M. Hecht

  • In-situ sampling of a large-scale particle simulation for interactive visualization and analysis

    J. Woodring;J. Ahrens;J. Figg;J. Wendelberger

  • PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

    Li-Ta Lo;Christopher M. Sewell;James P. Ahrens

  • In Situ Eddy Analysis in a High-Resolution Ocean Climate Model

    Jonathan Woodring;Mark Petersen;Andre Schmeiber;John Patchett

  • Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision

    Jonathan Woodring;Susan Mniszewski;Christopher Brislawn;David DeMarle

  • VisMashup: Streamlining the Creation of Custom Visualization Applications

    E. Santos;L. Lins;J. Ahrens;J. Freire

  • A terminology for in situ visualization and analysis systems

    Hank Childs;Sean Ahern;James P. Ahrens;Andrew C. Bauer

  • Jitter-free co-processing on a prototype exascale storage stack

    John Bent;Sorin Faibish;Jim Ahrens;Gary Grider

  • Data-Intensive Science in the US DOE: Case Studies and Future Challenges

    James P. Ahrens;Bruce Hendrickson;Gabrielle Long;Steve Miller

  • Scout: a data-parallel programming language for graphics processors

    Patrick McCormick;Jeff Inman;James Ahrens;Jamaludin Mohd-Yusof

Frequent Co-Authors

Bernd Hamann
Bernd Hamann University of California, Davis
Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Charles Hansen
Charles Hansen University of Utah
Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Han-Wei Shen
Han-Wei Shen The Ohio State University
Colin Ware
Colin Ware University of New Hampshire
Valerio Pascucci
Valerio Pascucci University of Utah
Wu-chun Feng
Wu-chun Feng Virginia Tech
Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Mathew E. Maltrud
Mathew E. Maltrud Los Alamos National Laboratory

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