Roberto Munoz-Soto

Roberto Munoz-Soto

Universidad de Valparaíso

H-index: 25

Latin America-Chile

About Roberto Munoz-Soto

Roberto Munoz-Soto, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at Universidad de Valparaíso, specializes in the field of Computers & Education, Health Informatics, Multimodal Learning Analytics, Learning Analytics, Autism Spectrum Disorders.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating the Potential and Challenges of Learning Analytics Tools in Brazilian Education Through Developer Insights

Simple hemogram to support the decision-making of COVID-19 diagnosis using clusters analysis with self-organizing maps neural network

HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry

Learning Analytics para Moodle em uma arquitetura na nuvem: uma solução escalável para predição de risco acadêmico

Expectations of High School Teachers Regarding the Use of Learning Analytics

Ethics, Big Data and Artificial Intelligence: Exploring Academic Works in the Educational Landscape

Studying Alumni's Education and Work Experience Through Social Network Analysis: A LinkedIn Case Study

Entropy–based diversification approach for bio–computing methods

Roberto Munoz-Soto Information

University

Position

School of Informatics Engineering

Citations(all)

2230

Citations(since 2020)

2014

Cited By

758

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

49

i10Index(since 2020)

40

Email

University Profile Page

Universidad de Valparaíso

Google Scholar

View Google Scholar Profile

Roberto Munoz-Soto Skills & Research Interests

Computers & Education

Health Informatics

Multimodal Learning Analytics

Learning Analytics

Autism Spectrum Disorders

Top articles of Roberto Munoz-Soto

Title

Journal

Author(s)

Publication Date

Investigating the Potential and Challenges of Learning Analytics Tools in Brazilian Education Through Developer Insights

IEEE Access

Jones Baroni Ferreira De Menezes

Emanuel Marques Queiroga

Roberto Muñoz Soto

Virginia Rodés Paragarino

Vinícius Faria Culmant Ramos

...

2024/4/8

Simple hemogram to support the decision-making of COVID-19 diagnosis using clusters analysis with self-organizing maps neural network

Soft Computing

Alexandra A de Souza

Danilo Candido de Almeida

Thiago S Barcelos

Rodrigo Campos Bortoletto

Roberto Munoz

...

2023/3

HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry

Oncology Letters

Claudio Cordova

Roberto Muñoz

Rodrigo Olivares

Jean-Gabriel Minonzio

Carlo Lozano

...

2023/2/1

Learning Analytics para Moodle em uma arquitetura na nuvem: uma solução escalável para predição de risco acadêmico

Cristian Cechinel

Emanuel Marques Queiroga

Tiago Thompsen Primo

Vinicius Faria Culmant Ramos

Roberto Muñoz

...

2023/11/6

Expectations of High School Teachers Regarding the Use of Learning Analytics

Geane Biancato

Emanuel Marques Queiroga

Roberto Muñoz

Vinicius Ramos

Tiago Thompsen Primo

...

2023/10/17

Ethics, Big Data and Artificial Intelligence: Exploring Academic Works in the Educational Landscape

Jones Baroni Ferreira de Menezes

Cristian Cechinel

Roberto Muñoz

Emanuel Marques Queiroga

Vinicius Ramos

...

2023/10/17

Studying Alumni's Education and Work Experience Through Social Network Analysis: A LinkedIn Case Study

Fabián Riquelme

Roberto Muñoz

Marco Antonio Vivar

Jean Billiard

2023/10/16

Entropy–based diversification approach for bio–computing methods

Entropy

Rodrigo Olivares

Ricardo Soto

Broderick Crawford

Fabián Riquelme

Roberto Munoz

...

2022/9/14

Improvement of patient classification using feature selection applied to bidirectional axial transmission

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Diego Miranda

Rodrigo Olivares

Roberto Munoz

Jean-Gabriel Minonzio

2022/8/1

Visualizing collaboration in teamwork: A multimodal learning analytics platform for non-verbal communication

Applied Sciences

René Noël

Diego Miranda

Cristian Cechinel

Fabián Riquelme

Tiago Thompsen Primo

...

2022/7/26

Predicting at-risk students with LMS data: a comparison between Adaboost and LSTM algorithms

Ricardo Battaglin

Roberto Munoz

Vinicius Culmant Ramos

Cristian Cechinel

2022/10/17

Supporting Clinical COVID-19 Diagnosis with Routine Blood Tests Using Tree-Based Entropy Structured Self-Organizing Maps

Applied Sciences

Vagner Sargiani

Alexandra A De Souza

Danilo Candido De Almeida

Thiago S Barcelos

Roberto Munoz

...

2022/5

Experimenting Learning Analytics and Educational Data Mining in different educational contexts and levels

Emanuel M Queiroga

Virginia Rodés Paragarino

Alén Perez Casas

Tiago Thompsen Primo

Roberto Munoz

...

2022/10/17

Postural evaluation based on body movement and mapping sensors

Measurement

Yongzhao Xu

Zhifeng Zeng

Cássio Oliveria

Roberto Munoz

Robert de Almeida

...

2022/2/28

Are you collaborative? A framework to evaluate non-verbal communication in indoor environments

Diego Miranda

René Noel

Ignacio Alvarado

Cristian Cechinel

Roberto Munoz

2022/10/17

A learning analytics framework to analyze corporal postures in students presentations

Sensors

Felipe Vieira

Cristian Cechinel

Vinicius Ramos

Fabián Riquelme

Rene Noel

...

2021/2/22

Selection of Bone fragility-Related Features Obtained with Bi-Directional Axial Transmission, Through a Machine Learning Strategy

Diego Miranda

Rodrigo Olivares

Roberto Munoz

Jean-Gabriel Minonzio

2021/10/4

Can analytics of speaking time serve as indicators of effective team communication and collaboration?

Omar Salinas

Fabian Riquelme

Roberto Muñoz

Cristian Cechinel

Roberto Martinez

...

2021/11/22

A Systematic approach to improve Support Vector Machine applied to ultrasonic guided wave spectrum image classification

Diego Miranda

Rodrigo Olivares

Roberto Munoz

Jean-Gabriel Minonzio

2021/9/11

A learning analytics dashboard for moodle: Implementing machine learning techniques to early detect students at risk of failure

Cristian Cechinel

Mateus De Freitas Dos Santos

Caio Barrozo

Jesiel Emerim Schardosim

Eduardo de Vila

...

2021/10/19

See List of Professors in Roberto Munoz-Soto University(Universidad de Valparaíso)

Co-Authors

H-index: 24
Ismar Frango Silveira

Ismar Frango Silveira

Universidade Presbiteriana Mackenzie

H-index: 16
Rodrigo Olivares Ordenes

Rodrigo Olivares Ordenes

Universidad de Valparaíso

H-index: 15
Fabián Riquelme

Fabián Riquelme

Universidad de Valparaíso

H-index: 10
Rene Noel

Rene Noel

Universidad de Valparaíso

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