World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6607
World Ranking
10655
National Ranking
4458

Melanie Tory 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 Melanie Tory 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Melanie Tory 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 Melanie Tory 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Melanie Tory is affiliated with Northeastern University in the United States. Their research primarily falls within the field of Computer Science, with significant contributions in related subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Management Information Systems, and Information Systems and Management.

The main topics covered in Tory's work include Data Visualization and Analytics, Data Analysis with R, Innovative Human-Technology Interaction, Big Data and Business Intelligence, Scientific Computing and Data Management, AI in Service Interactions, and Speech and Dialogue Systems.

Tory has published extensively in several academic venues. Frequent publication outlets include:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • IEEE Computer Graphics and Applications
  • Computer Graphics Forum
  • CHI Conference on Human Factors in Computing Systems

Some recent papers authored or coauthored by Tory are:

  • "The Unmet Data Visualization Needs of Decision Makers Within Organizations," 2021, IEEE Transactions on Visualization and Computer Graphics
  • "Passing the Data Baton: A Retrospective Analysis on Data Science Work and Workers," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior," 2022, CHI Conference on Human Factors in Computing Systems
  • "Finding Their Data Voice: Practices and Challenges of Dashboard Users," 2021, IEEE Computer Graphics and Applications
  • "Heuristics for Supporting Cooperative Dashboard Design," 2023, IEEE Transactions on Visualization and Computer Graphics

Frequent collaborators include Vidya Setlur, Michael Correll, Anamaria Crisan, Brittany Fiore-Gartland, and Lyn Bartram. This collaboration network reflects ongoing work in data visualization, interactive systems, and analytic tools.

Best Publications

  • Human factors in visualization research

    M. Tory;T. Moller

  • Collaborative coupling over tabletop displays

    Anthony Tang;Melanie Tory;Barry Po;Petra Neumann

  • Rethinking Visualization: A High-Level Taxonomy

    M. Tory;T. Moller

  • What Do We Talk About When We Talk About Dashboards

    Alper Sarikaya;Michael Correll;Lyn Bartram;Melanie Tory

  • How Information Visualization Novices Construct Visualizations

    L Grammel;M Tory;M Storey

  • Evaluating visualizations: do expert reviews work?

    M. Tory;T. Moller

  • Personal Visualization and Personal Visual Analytics

    Dandan Huang;Melanie Tory;Bon Adriel Aseniero;Lyn Bartram

  • Eviza: A Natural Language Interface for Visual Analysis

    Vidya Setlur;Sarah E. Battersby;Melanie Tory;Rich Gossweiler

  • Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices

    Michael Sedlmair;Tamara Munzner;Melanie Tory

  • Visualization task performance with 2D, 3D, and combination displays

    M. Tory;A.E. Kirkpatrick;M.S. Atkins;T. Moller

  • A Taxonomy of Visual Cluster Separation Factors

    M. Sedlmair;A. Tatu;T. Munzner;M. Tory

  • That one there! Pointing to establish device identity

    Colin Swindells;Kori M. Inkpen;John C. Dill;Melanie Tory

  • The Frustrations and Benefits of Mobile Device Usage in the Home when Co-Present with Family Members

    Erick Oduor;Carman Neustaedter;William Odom;Anthony Tang

  • Applying Pragmatics Principles for Interaction with Visual Analytics

    Enamul Hoque;Vidya Setlur;Melanie Tory;Isaac Dykeman

  • DimStiller: Workflows for dimensional analysis and reduction

    Stephen Ingram;Tamara Munzner;Veronika Irvine;Melanie Tory

  • A parallel coordinates style interface for exploratory volume visualization

    M. Tory;S. Potts;T. Moller

  • Supporting Communication and Coordination in Collaborative Sensemaking

    Narges Mahyar;Melanie Tory

  • Bridging from Goals to Tasks with Design Study Analysis Reports

    Heidi Lam;Melanie Tory;Tamara Munzner

  • Inferencing underspecified natural language utterances in visual analysis

    Unknown

  • eSeeTrack—Visualizing Sequential Fixation Patterns

    Hoi Ying Tsang;M Tory;C Swindells

  • Mental registration of 2D and 3D visualizations (an empirical study)

    M. Tory

Frequent Co-Authors

Torsten Möller
Torsten Möller University of Vienna
Tamara Munzner
Tamara Munzner University of British Columbia
Anthony Tang
Anthony Tang Singapore Management University
Richard Carl Gossweiler
Richard Carl Gossweiler Google (United States)
Margaret-Anne Storey
Margaret-Anne Storey University of Victoria
Sheelagh Carpendale
Sheelagh Carpendale Simon Fraser University
Michael Sedlmair
Michael Sedlmair University of Stuttgart
Carman Neustaedter
Carman Neustaedter Simon Fraser University
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Pourang Irani
Pourang Irani University of Manitoba

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