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 John A. Miller sits on this spectrum.
This scientist: 209 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.
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 John A. Miller sits on this spectrum.
This scientist: 52 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
John A. Miller is affiliated with the University of Georgia in the United States and primarily works in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Safety Research, and Modeling and Simulation.
The scientist's research covers numerous topics, with a particular focus on Ethics and Social Impacts of AI, COVID-19 epidemiological studies, Anomaly Detection Techniques and Applications, Traffic Prediction and Management Techniques, Adversarial Robustness in Machine Learning, Data-Driven Disease Surveillance, and Time Series Analysis and Forecasting.
Among recent publications, the following papers illustrate the scope and range of their research:
Though not as a primary author, related contributions tied to frequent coauthor Mohammadhossein Toutiaee include publications in 2020 and 2021 focusing on video content understanding, stereotype-free classification of fictitious faces, and improving COVID-19 forecasting using exogenous variables.
John A. Miller has collaborated with several researchers at varying frequencies. Frequent coauthors include Khaled Rasheed, I. Budak Arpinar, Mohammadhossein Toutiaee, Moritz Hardt, and Ludwig Schmidt, each contributing to multiple joint works.
Their work has predominantly appeared in the venue arXiv (Cornell University), with nine publications listed there. Additionally, research has been published in IEEE Open Journal of Instrumentation and Measurement, the 2022 Winter Simulation Conference (WSC), the 2022 ACM Conference on Fairness, Accountability, and Transparency, and AgriEngineering.
Jorge Cardoso;Amit P. Sheth;John A. Miller;Jonathan Arnold
Cristina Aurrecoechea;John Brestelli;Brian P. Brunk;Jennifer Dommer
Martin Aslett;Cristina Aurrecoechea;Matthew Berriman;John Brestelli
Rama Akkiraju;Joel Farrell;John A. Miller;Meenakshi Nagarajan
Kunal Verma;Kaarthik Sivashanmugam;Amit Sheth;Abhijit Patil
R. Aggarwal;Kunal Verma;J. Miller;W. Milnor
Kaarthik Sivashanmugam;Kunal Verma;Amit P. Sheth;John A. Miller
Jorge Cardoso;John A. Miller;Amit P. Sheth;Jonathan Arnold
Kaarthik Sivashanmugam;John A. Miller;Amit P. Sheth;Kunal Verma
Cristina Aurrecoechea;John Brestelli;Brian P. Brunk;Jane M. Carlton
Zongwei Luo;Amit Sheth;Krys Kochut;John Miller
John A. Miller;Devanand Palaniswami;Amit P. Sheth;Krys J. Kochut
S. Staab;W. van der Aalst;V.R. Benjamins;A. Sheth
J.A. Miller;W.D. Potter;R.V. Gandham;C.N. Lapena
Mark Heiges;Haiming Wang;Edward Robinson;Cristina Aurrecoechea
John A. Miller;Amit P. Sheth;Krzysztof J. Kochut;X. Wang
Kunal Verma;Karthik Gomadam;Amit P. Sheth;John Miller
Jorge Cardoso;Amit P. Sheth;John Miller
Preeda Rajasekaran;John Miller;Kunal Verma;Amit Sheth
Cristina Aurrecoechea;John Brestelli;Brian P. Brunk;Steve Fischer
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