Megan Monroe

5 papers and 165 indexed citations i.

Megan Monroe has authored 5 papers that have received a total of 165 indexed citations. This includes 2 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Artificial Intelligence. The topics of these papers are Data Visualization and Analytics (2 papers), Time Series Analysis and Forecasting (1 paper) and Video Analysis and Summarization (1 paper). Megan Monroe is often cited by papers focused on Data Visualization and Analytics (2 papers), Time Series Analysis and Forecasting (1 paper) and Video Analysis and Summarization (1 paper) and collaborates with scholars based in United States and Australia. Megan Monroe's co-authors include David Tcheng, Boris Capitanu, Tanya Clement, Loretta Auvil and Han‐Seung Lee and has published in prestigious journals such as Arthritis Care & Research and IEEE Transactions on Visualization and Computer Graphics.