World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
16216
World Ranking
2109
National Ranking
1063

Valerio Pascucci 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 Valerio Pascucci 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: 370 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Valerio Pascucci 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 Valerio Pascucci 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: 68 D-Index — 86th percentile

86% 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

  • 2022 - Member of the IEEE VGTC Visualization Academy
  • 2022 - IEEE VGTC Visualization Technical Award
  • 2022 - Member of the IEEE VGTC Visualization Academy
  • 2022 - IEEE VGTC Visualization Technical Award

Overview

Valerio Pascucci is affiliated with the University of Utah in the United States and conducts research primarily in the field of Computer Science. Their work encompasses several subfields, including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Artificial Intelligence, and Information Systems and Management.

The academic output includes a focus on topics such as Computer Graphics and Visualization Techniques, Scientific Computing and Data Management, Cell Image Analysis Techniques, Data Visualization and Analytics, Topological and Geometric Data Analysis, Advanced Data Storage Technologies, and Distributed and Parallel Computing Systems.

Frequent publication venues for Pascucci's work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Zenodo (CERN European Organization for Nuclear Research)
  • The International Journal of High Performance Computing Applications
  • Computer Graphics Forum

Some representative recent papers published by Pascucci include:

  • "A terminology for in situ visualization and analysis systems," 2020, The International Journal of High Performance Computing Applications
  • "Improving Augmented Human Intelligence to Distinguish Burkitt Lymphoma From Diffuse Large B-Cell Lymphoma Cases," 2020, American Journal of Clinical Pathology
  • "Advancing Fusion with Machine Learning Research Needs Workshop Report," 2020, Journal of Fusion Energy
  • "Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Accelerating Unstructured Mesh Point Location With RT Cores," 2020, IEEE Transactions on Visualization and Computer Graphics

Frequent collaborators in Pascucci's research include Peer-Timo Bremer, Will Usher, Ingo Wald, Giorgio Scorzelli, and Nate Morrical.

Best Publications

  • The contour spectrum

    Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore

  • Visualizing High-Dimensional Data: Advances in the Past Decade

    Shusen Liu;Dan Maljovec;Bei Wang;Peer-Timo Bremer

  • Visualization of large terrains made easy

    Peter Lindstrom;Valerio Pascucci

  • Terrain simplification simplified: a general framework for view-dependent out-of-core visualization

    P. Lindstrom;V. Pascucci

  • Contour trees and small seed sets for isosurface traversal

    Marc van Kreveld;René van Oostrum;Chandrajit Bajaj;Valerio Pascucci

  • Spectral surface quadrangulation

    Shen Dong;Peer-Timo Bremer;Michael Garland;Valerio Pascucci

  • Morse-smale complexes for piecewise linear 3-manifolds

    Herbert Edelsbrunner;John Harer;Vijay Natarajan;Valerio Pascucci

  • Robust on-line computation of Reeb graphs: simplicity and speed

    Valerio Pascucci;Giorgio Scorzelli;Peer-Timo Bremer;Ajith Mascarenhas

  • The Helmholtz-Hodge Decomposition—A Survey

    H. Bhatia;G. Norgard;V. Pascucci;Peer-Timo Bremer

  • Single resolution compression of arbitrary triangular meshes with properties

    Chandrajit L. Bajaj;Valerio Pascucci;Guozhong Zhuang

  • Fast isocontouring for improved interactivity

    Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore

  • Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data

    K. Potter;A. Wilson;P.-T. Bremer;D. Williams

  • A topological hierarchy for functions on triangulated surfaces

    P.-T. Bremer;B. Hamann;H. Edelsbrunner;V. Pascucci

  • Loops in Reeb Graphs of 2-Manifolds

    Kree Cole-McLaughlin;Herbert Edelsbrunner;John Harer;Vijay Natarajan

  • Loops in reeb graphs of 2-manifolds

    Kree Cole-McLaughlin;Herbert Edelsbrunner;John Harer;Vijay Natarajan

  • A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality

    A. Gyulassy;P.-T. Bremer;B. Hamann;V. Pascucci

  • Combining in-situ and in-transit processing to enable extreme-scale scientific analysis

    Janine C. Bennett;Hasan Abbasi;Peer-Timo Bremer;Ray Grout

  • Global Static Indexing for Real-Time Exploration of Very Large Regular Grids

    Valerio Pascucci;Randall J. Frank

  • Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities

    D. Laney;P.-T. Bremer;A. Mascarenhas;P. Miller

  • Interactive Exploration and Analysis of Large-Scale Simulations Using Topology-Based Data Segmentation

    P-T Bremer;G. Weber;J. Tierny;V. Pascucci

Frequent Co-Authors

Peer-Timo Bremer
Peer-Timo Bremer Lawrence Livermore National Laboratory
Bernd Hamann
Bernd Hamann University of California, Davis
Chandrajit L. Bajaj
Chandrajit L. Bajaj The University of Texas at Austin
Cláudio T. Silva
Cláudio T. Silva New York University
Ingo Wald
Ingo Wald Nvidia (United States)
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory
Charles Hansen
Charles Hansen University of Utah
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Chris R. Johnson
Chris R. Johnson University of Utah
Jacqueline H. Chen
Jacqueline H. Chen Sandia National Laboratories

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