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About the database ScholarIQanswers from OpenAlex & ORCID
How has Erbert F. Osco Mamani's publication output changed over time?
ScholarIQpublication output · 2019–2025
Output declined50% over the shown period — from 2 works in 2019 to 1 in 2025.
2
1
1
4
1
1
201920212022202320242025
What are the most-cited papers on Erbert F. Osco Mamani?
ScholarIQmost cited works
Enabling Risk Management and Adaptation to Climate Change through a Network of Peruvian Universities
Jorge Espinoza-Molina, Alberto Paucar‐Caceres, Maria del Carmen Silva-Cornejo, Silvia Quispe-Prieto, Karina Acosta-Caipa, Esther Chambe-Vega, Erbert F. Osco Mamani, Franklin Córdova-Buiza, Toni Burrowes-Cromwell, Lucero Nicole Huerta‐Tantalean
Sustainability. 20229 CitationsOPEN ACCESS
Highly Accurate Deep Learning Model for Olive Leaf Disease Classification: A Study in Tacna-Per´u
Erbert F. Osco Mamani, Israel N. Chaparro-Cruz
International Journal of Advanced Computer Science and Applications. 20237 CitationsOPEN ACCESS
A Feature Extraction Method Based on Convolutional Autoencoder for Plant Leaves Classification
Mery Milagros Paco Ramos, Vanessa Paco Ramos, Arnold Loaiza Fabian, Erbert F. Osco Mamani
20195 Citations
The Detection and Counting of Olive Tree Fruits Using Deep Learning Models in Tacna, Perú
Erbert F. Osco Mamani, Oliver I. Santana-Carbajal, Israel N. Chaparro-Cruz, Daniel Ochoa, Sylvia C. Alcázar-Alay
S4210200511. 20255 CitationsOPEN ACCESS
Model for Predicting Customer Desertion of Telephony Service using Machine Learning
Carlos Acero-Charaña, Erbert F. Osco Mamani, Tito Ale-Nieto
International Journal of Advanced Computer Science and Applications. 20214 CitationsOPEN ACCESS
Related on ScholarIQ
Jorge Basadre Grohmann National University
Institution
Enabling Risk Management and Adaptation to Climate Change through a Network of Peruvian Universities
Paper
Highly Accurate Deep Learning Model for Olive Leaf Disease Classification: A Study in Tacna-Per´u
Paper
A Feature Extraction Method Based on Convolutional Autoencoder for Plant Leaves Classification
Paper
The Detection and Counting of Olive Tree Fruits Using Deep Learning Models in Tacna, Perú
Paper
Model for Predicting Customer Desertion of Telephony Service using Machine Learning
Paper