World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6044
World Ranking
10245
National Ranking
4301

Shawn Bowers 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 Shawn Bowers 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Shawn Bowers 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 Shawn Bowers 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Shawn Bowers is affiliated with Gonzaga University in the United States. Their research primarily spans the fields of Computer Science, Social Sciences, and Decision Sciences, with a focus on several subfields including Artificial Intelligence, Education, Information Systems, Information Systems and Management, and Management Science and Operations Research.

Their main research topics include Semantic Web and Ontologies, Scientific Computing and Data Management, Multi-Agent Systems and Negotiation, Reflective Practices in Education, Evaluation of Teaching Practices, Higher Education Practices and Engagement, and Biomedical Text Mining and Ontologies.

Bowers has contributed to multiple publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • TechTrends
  • UNC Libraries
  • International Journal of Digital Curation

Recent papers authored or coauthored by Bowers include:

  • Reflective Design in Action: A Collaborative Autoethnography of Faculty Learning Design, 2021, TechTrends
  • Names are not good enough: Reasoning over taxonomic change in the Andropogon complex, 2024, UNC Libraries
  • Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation, 2024, arXiv (Cornell University)
  • Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation, 2024, International Journal of Digital Curation
  • Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks, 2025, arXiv (Cornell University)

Bowers frequently collaborates with several researchers, with notable coauthors being Bertram Ludäscher, Yilin Xia, Lan Li, Yu Xia, and Evgeny Skvortsov. The strongest collaboration ties are with Bertram Ludäscher and Yilin Xia.

Best Publications

  • An ontology for describing and synthesizing ecological observation data

    Joshua S. Madin;Joshua S. Madin;Shawn Bowers;Mark Schildhauer;Sergey Krivov

  • The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere

    Matthew B. Jones;Mark P. Schildhauer;O. J. Reichman;Shawn Bowers

  • 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

  • Provenance in Scientific Workflow Systems

    Susan B. Davidson;Sarah Cohen Boulakia;Anat Eyal;Bertram Ludäscher

  • Scientific workflow design for mere mortals

    Timothy McPhillips;Shawn Bowers;Daniel Zinn;Bertram Ludäscher

  • Advancing ecological research with ontologies

    Joshua S. Madin;Joshua S. Madin;Shawn Bowers;Mark P. Schildhauer;Matthew B. Jones

  • An Ontology-Driven Framework for Data Transformation in Scientific Workflows

    Shawn Bowers;Bertram Ludäscher

  • Actor-oriented design of scientific workflows

    Shawn Bowers;Bertram Ludäscher

  • Scientific Workflows: Business as Usual?

    Bertram Ludäscher;Mathias Weske;Timothy Mcphillips;Shawn Bowers

  • Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies

    Ramona L. Walls;John Deck;Robert Guralnick;Steve Baskauf

  • A model for user-oriented data provenance in pipelined scientific workflows

    Shawn Bowers;Timothy McPhillips;Bertram Ludäscher;Shirley Cohen

  • Uni-level description of computer information and transformation of computer information between representation schemes

    Lois Delcambre;Shawn Bowers

  • Techniques for efficiently querying scientific workflow provenance graphs

    Manish Kumar Anand;Shawn Bowers;Bertram Ludäscher

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Bundles in the Wild: Managing Information to Solve Problems and Maintain Situation Awareness

    Paul N. Gorman;Joan S. Ash;Mary Lavelle;Jason A. Lyman

  • Provenance in collection-oriented scientific workflows

    Shawn Bowers;Timothy M. McPhillips;Bertram Ludäscher

  • Efficient provenance storage over nested data collections

    Manish Kumar Anand;Shawn Bowers;Timothy McPhillips;Bertram Ludäscher

  • Enabling ScientificWorkflow Reuse through Structured Composition of Dataflow and Control-Flow

    S. Bowers;B. Ludascher;A.H.H. Ngu;T. Critchlow

  • Incorporating semantics in scientific workflow authoring

    Chad Berkley;Shawn Bowers;Matthew Jones;Bertram Ludäscher

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Ilkay Altintas
Ilkay Altintas University of California, San Diego
Paolo Missier
Paolo Missier Newcastle University
Joshua S. Madin
Joshua S. Madin University of Hawaii at Manoa
Carole Goble
Carole Goble University of Manchester
David Maier
David Maier Portland State University
Juliana Freire
Juliana Freire New York University
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Susan B. Davidson
Susan B. Davidson University of Pennsylvania
Maria A. Gandolfo
Maria A. Gandolfo Cornell University

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