2026 Kiri L. Wagstaff: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	31	13357	12956	5344	5087	207	8851

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

3631
Citations
Clustering with Instance-level Constraints

Kiri Wagstaff;Claire Cardie

1617
Citations
Clustering with Instance-Level Constraints

Kiri Wagstaff;Claire Cardie

838
Citations
Constrained Clustering: Advances in Algorithms, Theory, and Applications

Sugato Basu;Ian Davidson;Kiri Wagstaff

711
Citations
Mining GPS Traces for Map Refinement

Stefan Schroedl;Kiri Wagstaff;Seth Rogers;Pat Langley

314
Citations
Noun Phrase Coreference as Clustering

Claire Cardie;Kiri Wagstaff

308
Citations
Measuring constraint-set utility for partitional clustering algorithms

Ian Davidson;Kiri L. Wagstaff;Sugato Basu

276
Citations
Machine Learning that Matters

Kiri L. Wagstaff

175
Citations
The Commensal Real-Time ASKAP Fast-Transients (CRAFT) Survey

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

165
Citations
Multidocument summarization via information extraction

Michael White;Tanya Korelsky;Claire Cardie;Vincent Ng

144
Citations
Machine learning for science and society

Cynthia Rudin;Kiri L. Wagstaff

143
Citations
The Commensal Real-time ASKAP Fast Transients (CRAFT) survey

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

140
Citations
Intelligent clustering with instance-level constraints

Kiri Lou Wagstaff;Claire Cardie

133
Citations
Alpha seeding for support vector machines

Dennis DeCoste;Kiri Wagstaff

108
Citations
Clustering with Missing Values: No Imputation Required

Kiri Wagstaff

105
Citations
When is constrained clustering beneficial, and why?

Kiri L. Wagstaff;Sugato Basu;Ian Davidson

88
Citations
Active constrained clustering by examining spectral eigenvectors

Qianjun Xu;Marie desJardins;Kiri L. Wagstaff

86
Citations
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

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

86
Citations
V-FASTR: The VLBA Fast Radio Transients Experiment

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

73
Citations
Forecasting space weather: Predicting interplanetary shocks using neural networks

Jon Vandegriff;Kiri Wagstaff;George Ho;Janice Plauger

63
Citations
Constrained spectral clustering under a local proximity structure assumption

Kiri Wagstaff;Qianjun Xu;Marie des Jardins

62
Citations
Value, cost, and sharing: open issues in constrained clustering

Kiri L. Wagstaff

60
Citations

Frequent Co-Authors

Steve Chien Jet Propulsion Lab

Steven Tingay Curtin University

James F. Bell Arizona State University

Nathalie A. Cabrol Search for Extraterrestrial Intelligence

Thomas Fuchs University of Göttingen

Claire Cardie Cornell University

Robert T. Pappalardo California Institute of Technology

Ronald Greeley Arizona State University

Robert C. Anderson California Institute of Technology

Nina Lanza Los Alamos National Laboratory

External Links

Personal website of Kiri L. Wagstaff

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