Johnson Apacible

5 papers and 332 indexed citations i.

Johnson Apacible has authored 5 papers that have received a total of 332 indexed citations. This includes 3 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 2 papers in Artificial Intelligence. The topics of these papers are Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Complex Network Analysis Techniques (1 paper). Johnson Apacible is often cited by papers focused on Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Complex Network Analysis Techniques (1 paper) and collaborates with scholars based in United States. Johnson Apacible's co-authors include Eric Horvitz, Xinying Song, Michael Gamon, Karthik Kalyanaraman and Tae Yano and has published in prestigious journals such as Journal of Convergence Information Technology.