Roberto Muñoz

2.1k citations
89 papers · 1.4k indexed · 1 hit paper · h-index 19

Roberto Muñoz

83 papers receiving 1.3k citations

Hit Papers

Internet of Things: A survey on machine learning-based in...3542019202620212023100200300

Peers

Roberto Muñoz
Comparison fields: 5 of 119
  • Computer Science Applications 301
  • Computer Networks and Communications 404
  • Signal Processing 185
  • Artificial Intelligence 380
  • Information Systems 254
Replace Mario Muñoz-Organero with:
Mario Muñoz-Organero Spain
P. W. C. Prasad Australia
David J. Malan United States
Luis Anido Spain
Elena Verdú Spain
V. Ramalingam India
Aaron Striegel United States
Yutaka Watanobe Japan
Jaiteg Singh India
Akhil Mathur United Kingdom
Roberto Muñoz relative to Mario Muñoz-Organero Spain Mario Muñoz-Organero's profile →
Citations per field
00.5×1.5×1.9×
Mario Muñoz-Organero · 1×
Citations per year

Countries citing papers authored by Roberto Muñoz

Since Specialization
Citations

This map shows the geographic impact of Roberto Muñoz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Muñoz more than expected).

Fields of papers citing papers by Roberto Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Muñoz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Muñoz. The network helps show where Roberto Muñoz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Roberto Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Muñoz Line = papers co-authored together Roberto Muñoz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20224
5 202215
6 202112
7 20217
8 202019
9 202019
10 202048
11 202015
12 202036
13 201943
14 20191
15 201910
16 201916
17 201927
18 201997
19 20181
20 201832

About Roberto Muñoz

Roberto Muñoz is a scholar working on Computer Science Applications, Human-Computer Interaction, Chemical Health and Safety, Developmental and Educational Psychology and Information Systems, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Online Learning and Analytics (22 papers), E-Learning and Knowledge Management (15 papers), Teaching and Learning Programming (11 papers), Innovative Teaching and Learning Methods (11 papers), Autism Spectrum Disorder Research (8 papers), Software Engineering Techniques and Practices (7 papers), Educational Games and Gamification (6 papers) and Team Dynamics and Performance (5 papers). The work is most often cited by research in Computer Science Applications (301 citations), Computer Networks and Communications (404 citations), Signal Processing (185 citations), Artificial Intelligence (380 citations) and Information Systems (254 citations). Roberto Muñoz has collaborated with scholars based in Chile, Brazil and United States. Frequent co-authors include Victor Hugo C. de Albuquerque, Kelton Augusto Pontara da Costa, João Paulo Papa, Rodolfo Villarroel, Thiago Barcelos, Rodrigo Olivares, Cristian Cechinel, Fabián Riquelme, Carla Taramasco and Javier Del Ser. Their work appears in journals such as IEEE Access, Applied Sciences, Sensors, Scientific Reports and Computational Intelligence and Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026