David Elizondo
About
David Elizondo has authored 63 papers that have received a total of 1.1k indexed citations.
This includes 38 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Neural Networks and Applications (12 papers), Anomaly Detection Techniques and Applications (7 papers) and COVID-19 diagnosis using AI (7 papers). David Elizondo is often cited by papers focused on Neural Networks and Applications (12 papers), Anomaly Detection Techniques and Applications (7 papers) and COVID-19 diagnosis using AI (7 papers) and collaborates with scholars based in United Kingdom, Spain and France. David Elizondo's co-authors include L. Calefice, Shengxiang Yang, Miguel A. Molina‐Cabello, Mohamed Tajine and Ezequiel López‐Rubio and has published in prestigious journals such as Applied Energy, Energy and Expert Systems with Applications.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Lu Wu Breakdown of academic impact, for papers by Khosro Khajeh Breakdown of academic impact, for papers by Donald L. Clark Breakdown of academic impact, for papers by Talib Hussain Breakdown of academic impact, for papers by Wuhui Li Breakdown of academic impact, for papers by L. Leśniak Breakdown of academic impact, for papers by Keigo Yoshizaki