Brian Quanz

9 papers and 79 indexed citations i.

Brian Quanz has authored 9 papers that have received a total of 79 indexed citations. This includes 4 papers in Management Science and Operations Research, 3 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. The topics of these papers are Time Series Analysis and Forecasting (2 papers), Machine Learning and Data Classification (2 papers) and Aesthetic Perception and Analysis (2 papers). Brian Quanz is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Machine Learning and Data Classification (2 papers) and Aesthetic Perception and Analysis (2 papers) and collaborates with scholars based in United States, India and Ireland. Brian Quanz's co-authors include Pin‐Yu Chen, Wesley M. Gifford, Pavithra Harsha, Arindam Jati and Payel Das and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering