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D-Index & Metrics

Computer Science

D-Index
31
Citations
8851
World Ranking
13354
National Ranking
5343

Kiri L. Wagstaff 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 Kiri L. Wagstaff 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Kiri L. Wagstaff 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 Kiri L. Wagstaff 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

Kiri L. Wagstaff is affiliated with Oregon State University in the United States. Their research spans multiple disciplines within physics and astronomy, with a strong focus on planetary science and exploration. Their work addresses topics ranging from anomaly detection techniques and applications to space science and extraterrestrial life.

Their publication record includes work in the following fields of study:

  • Physics and Astronomy

Among the subfields of study they engage in are:

  • Astronomy and Astrophysics
  • Artificial Intelligence
  • Radiation
  • Aerospace Engineering
  • Biophysics

The main topics covered in their research include:

  • Planetary Science and Exploration
  • Astro and Planetary Science
  • Anomaly Detection Techniques and Applications
  • Space Science and Extraterrestrial Life
  • Space Exploration and Technology
  • Cell Image Analysis Techniques
  • Image Processing and 3D Reconstruction

Kiri L. Wagstaff has contributed to several notable papers, including the following:

  • "Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Using machine learning to reduce observational biases when detecting new impacts on Mars," 2022, published in Icarus
  • "New Craters on Mars: An Updated Catalog," 2022, published in Journal of Geophysical Research Planets
  • "Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions," 2020, published in Data Mining and Knowledge Discovery
  • "Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact," 2024, published in PLOS Digital Health

Their frequent co-authors include:

  • Gary Doran
  • Steven Lu
  • Jake Lee
  • Emily Dunkel

Wagstaff's work is published regularly in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Data Mining and Knowledge Discovery, and Journal of Geophysical Research Planets.

Best Publications

  • Constrained K-means Clustering with Background Knowledge

    Kiri Wagstaff;Claire Cardie;Seth Rogers;Stefan Schrödl

  • Clustering with Instance-level Constraints

    Kiri Wagstaff;Claire Cardie

  • Clustering with Instance-Level Constraints

    Kiri Wagstaff;Claire Cardie

  • Constrained Clustering: Advances in Algorithms, Theory, and Applications

    Sugato Basu;Ian Davidson;Kiri Wagstaff

  • Mining GPS Traces for Map Refinement

    Stefan Schroedl;Kiri Wagstaff;Seth Rogers;Pat Langley

  • Noun Phrase Coreference as Clustering

    Claire Cardie;Kiri Wagstaff

  • Measuring constraint-set utility for partitional clustering algorithms

    Ian Davidson;Kiri L. Wagstaff;Sugato Basu

  • Machine Learning that Matters

    Kiri L. Wagstaff

  • The Commensal Real-Time ASKAP Fast-Transients (CRAFT) Survey

    Jean-Pierre Macquart;M. Bailes;N. D. R. Bhat;G. C. Bower

  • Multidocument summarization via information extraction

    Michael White;Tanya Korelsky;Claire Cardie;Vincent Ng

  • Machine learning for science and society

    Cynthia Rudin;Kiri L. Wagstaff

  • The Commensal Real-time ASKAP Fast Transients (CRAFT) survey

    Jean-Pierre Macquart;M. Bailes;N.D.R. Bhat

  • Intelligent clustering with instance-level constraints

    Kiri Lou Wagstaff;Claire Cardie

  • Alpha seeding for support vector machines

    Dennis DeCoste;Kiri Wagstaff

  • Clustering with Missing Values: No Imputation Required

    Kiri Wagstaff

  • When is constrained clustering beneficial, and why?

    Kiri L. Wagstaff;Sugato Basu;Ian Davidson

  • Active constrained clustering by examining spectral eigenvectors

    Qianjun Xu;Marie desJardins;Kiri L. Wagstaff

  • Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

    Steve A. Chien;Joshua Doubleday;David R. Thompson;Kiri L. Wagstaff

  • V-FASTR: The VLBA Fast Radio Transients Experiment

    Randall B. Wayth;Walter F. Brisken;Adam T. Deller;Adam T. Deller;Walid A. Majid

  • Forecasting space weather: Predicting interplanetary shocks using neural networks

    Jon Vandegriff;Kiri Wagstaff;George Ho;Janice Plauger

  • Constrained spectral clustering under a local proximity structure assumption

    Kiri Wagstaff;Qianjun Xu;Marie des Jardins

  • Value, cost, and sharing: open issues in constrained clustering

    Kiri L. Wagstaff

Frequent Co-Authors

Steve Chien
Steve Chien Jet Propulsion Lab
Steven Tingay
Steven Tingay Curtin University
David R. Thompson
David R. Thompson Queen's University Belfast
James F. Bell
James F. Bell Arizona State University
Nathalie A. Cabrol
Nathalie A. Cabrol Search for Extraterrestrial Intelligence
Thomas Fuchs
Thomas Fuchs University of Göttingen
Claire Cardie
Claire Cardie Cornell University
Robert T. Pappalardo
Robert T. Pappalardo California Institute of Technology
Ronald Greeley
Ronald Greeley Arizona State University
Robert C. Anderson
Robert C. Anderson California Institute of Technology

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