2026 Ian Davidson: 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	37	10675	10376	4465	4280	150	6447

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

10675

10376

4465

4280

150

6447

Overview

Ian Davidson is a researcher affiliated with the University of California, Davis in the United States. Their work spans multiple fields, primarily focusing on Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering and Artificial Intelligence.

The scientist's research covers several subfields and main topics, including:

Electrical and Electronic Engineering
Artificial Intelligence
Atomic and Molecular Physics, and Optics
Spectroscopy
Computer Vision and Pattern Recognition

Photonic Crystal and Fiber Optics
Advanced Fiber Laser Technologies
Optical Network Technologies
Advanced Fiber Optic Sensors
Spectroscopy and Laser Applications
Laser-Matter Interactions and Applications
Advanced Clustering Algorithms Research

Ian Davidson has published extensively, with recent papers including the following:

"Hollow core optical fibres with comparable attenuation to silica fibres between 600 and 1100 nm" (2020) in Nature Communications
"0.174 dB/km Hollow Core Double Nested Antiresonant Nodeless Fiber (DNANF)" (2022) at the Optical Fiber Communication Conference (OFC) 2022
"Hundred-meter-scale, kilowatt peak-power, near-diffraction-limited, mid-infrared pulse delivery via the low-loss hollow-core fiber" (2022) in Optics Letters
"A framework for deep constrained clustering" (2021) in Data Mining and Knowledge Discovery
"Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging" (2020) in Human Brain Mapping

Their frequent co-authors include:

Francesco Poletti
David J. Richardson
Natalie V. Wheeler
Gregory T. Jasion
Hesham Sakr

Ian Davidson often publishes in venues such as:

arXiv (Cornell University)
Optics Express
Conference on Lasers and Electro-Optics
Proceedings of the AAAI Conference on Artificial Intelligence
Optica Advanced Photonics Congress 2022

Best Publications

Constrained Clustering: Advances in Algorithms, Theory, and Applications

Sugato Basu;Ian Davidson;Kiri Wagstaff

711
Citations
Clustering with Constraints: Feasibility Issues and the k-Means Algorithm.

Ian Davidson;S. S. Ravi

411
Citations
Agglomerative hierarchical clustering with constraints: theoretical and empirical results

Ian Davidson;S. S. Ravi

354
Citations
Measuring constraint-set utility for partitional clustering algorithms

Ian Davidson;Kiri L. Wagstaff;Sugato Basu

276
Citations
Flexible constrained spectral clustering

Xiang Wang;Ian Davidson

267
Citations
Visual Data Mining : Techniques and Tools for Data Visualization and Mining

Tom Soukup;Ian Davidson

266
Citations
Multisource domain adaptation and its application to early detection of fatigue

Rita Chattopadhyay;Qian Sun;Wei Fan;Ian Davidson

238
Citations
On constrained spectral clustering and its applications

Xiang Wang;Buyue Qian;Ian Davidson

231
Citations
Knowledge Discovery and Data Mining: Challenges and Realities

Xingquan Zhu;Ian Davidson

217
Citations
Batch Mode Active Sampling Based on Marginal Probability Distribution Matching

Rita Chattopadhyay;Zheng Wang;Wei Fan;Ian Davidson

181
Citations
Accelerating Online CP Decompositions for Higher Order Tensors

Shuo Zhou;Nguyen Xuan Vinh;James Bailey;Yunzhe Jia

137
Citations
A principled and flexible framework for finding alternative clusterings

ZiJie Qi;Ian Davidson

129
Citations
An improved categorization of classifier's sensitivity on sample selection bias

Wei Fan;I. Davidson;B. Zadrozny;P.S. Yu

111
Citations
Finding Alternative Clusterings Using Constraints

I. Davidson;Zijie Qi

108
Citations
Network discovery via constrained tensor analysis of fMRI data

Ian Davidson;Sean Gilpin;Owen Carmichael;Peter Walker

107
Citations
Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results

Ian Davidson;S. S. Ravi

104
Citations
Active Spectral Clustering

Xiang Wang;Ian Davidson

103
Citations
When is constrained clustering beneficial, and why?

Kiri L. Wagstaff;Sugato Basu;Ian Davidson

88
Citations
Guided learning for role discovery (GLRD): framework, algorithms, and applications

Sean Gilpin;Tina Eliassi-Rad;Ian Davidson

87
Citations
Intractability and clustering with constraints

Ian Davidson;S. S. Ravi

83
Citations
Joint Transfer and Batch-mode Active Learning

Rita Chattopadhyay;Wei Fan;Ian Davidson;Sethuraman Panchanathan

73
Citations

Frequent Co-Authors

S. S. Ravi University of Virginia

Wei Fan Tencent (China)

Jieping Ye Alibaba Group (China)

Sethuraman Panchanathan Arizona State University

Siegfried Nijssen Université Catholique de Louvain

Owen Carmichael Pennington Biomedical Research Center

Kiri L. Wagstaff Oregon State University

Shuiwang Ji Texas A&M University

James Bailey University of Melbourne

Naren Ramakrishnan Virginia Tech

External Links

Personal website of Ian Davidson Google Scholar page

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