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 Klaus Mueller sits on this spectrum.
This scientist: 290 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
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 Klaus Mueller sits on this spectrum.
This scientist: 53 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Klaus Mueller is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition, artificial intelligence, and related subfields. The scientist's research encompasses several key areas, including data visualization and analytics, explainable artificial intelligence (XAI), ethics and social impacts of AI, generative adversarial networks and image synthesis, video analysis and summarization, and machine learning techniques.
The recent publications by Klaus Mueller demonstrate involvement in interdisciplinary and technologically advanced topics. Notable papers include "Development of metaverse for intelligent healthcare" (2022, Nature Machine Intelligence), which explores the intersection of virtual environments and healthcare applications. Other significant works are "Explainable Active Learning (XAL)" (2021, Proceedings of the ACM on Human-Computer Interaction), "D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias" (2022, IEEE Transactions on Visualization and Computer Graphics), "Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making" (2021, IEEE Transactions on Visualization and Computer Graphics), and "Networks never rest: An investigation of network evolution in three species of animals" (2021, Social Networks).
Throughout the career, Klaus Mueller has frequently collaborated with several coauthors, including Bhavya Ghai, Ge Wang, Darius Coelho, Anjul Tyagi, and Heyi Li. These partnerships have resulted in multiple publications, indicating ongoing research cooperation and shared contributions in the relevant scientific communities.
The scientist's work has been published majorly in IEEE Transactions on Visualization and Computer Graphics, accounting for 31 publications, followed by extensive contributions to arXiv (Cornell University) with 28 publications, Proceedings of the ACM on Human-Computer Interaction with 4 publications, as well as Computer Graphics Forum and ACM Symposium on Eye Tracking Research and Applications with 2 publications each.
Klaus Mueller's main fields and subfields of study are outlined as follows:
The primary research topics focus on:
Tomihisa Welsh;Michael Ashikhmin;Klaus Mueller
Ge Wang;Jong Chu Ye;Klaus Mueller;Jeffrey A. Fessler
Fang Xu;K. Mueller
Fang Xu;Klaus Mueller
Jian Huang;Klaus Mueller;Roger Crawfis;Dirk Bartz
R. Schulte;V. Bashkirov;Tianfang Li;Zhengrong Liang
K. Mueller;R. Yagel
Wei Li;K. Mueller;A. Kaufman
T. Moller;R. Machiraju;K. Mueller;R. Yagel
L. Wang;Y. Zhao;K. Mueller;A. Kaufman
Arie E. Kaufman;Klaus Mueller
Lujin Wang;J. Giesen;K.T. McDonnell;P. Zolliker
K. Mueller;R. Yagel;J.J. Wheller
K. Mueller;N. Shareef;Jian Huang;R. Crawfis
K. T. McDonnell;K. Mueller
K. Mueller;R. Yagel;J.J. Wheller
Chunhua Men;Xuejun Gu;Dongju Choi;Amitava Majumdar
Xiaoming Wei;Wei Li;K. Mueller;A.E. Kaufman
Klaus Mueller;Torsten Möller;Roger Crawfis
Klaus Mueller;Roger Crawfis
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