Roberto Muñoz

2.2k citations
100 papers · 1.6k · 1 hit paper · h-index 20

Impact in

Papers in

Roberto Muñoz

87 papers receiving 1.5k citations

Roberto Muñoz's Hit Papers

Internet of Things: A survey on machine learning-based intrusion detection approaches 2019 · 399 citations
3990+2+4Years since publication100200300

Peers

Roberto Muñoz
Comparison fields: 5 of 117
  • Computer Science Applications 352
  • Computer Networks and Communications 452
  • Signal Processing 213
  • Health Information Management 55
  • Artificial Intelligence 424
Replace P. W. C. Prasad with:
P. W. C. Prasad Australia
Mario Muñoz-Organero Spain
David J. Malan United States
Elena Verdú Spain
Jaiteg Singh India
Jason C. Hung Taiwan
Nuno Pombo Portugal
Iván García‐Magariño Spain
Yutaka Watanobe Japan
Samuel Moore United Kingdom
Roberto Muñoz relative to P. W. C. Prasad Australia P. W. C. Prasad's profile →
Citations per field
00.5×2×3×4×4.7×
P. W. C. Prasad · 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-authors

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

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Internet of Things: A survey on machine learning-based intrusion detection approaches
Hit paper breakdown →
2019399
2 2019112
3 201893
4 202055
5 201953
6 201847
7 201943
8 201240
9 201839
10 202139
11 201838
12 202037
13 201937
14 201832
15 201930
16 202028
17 201927
18 202025
19 201920
20 202020

About Roberto Muñoz

Roberto Muñoz is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Education and Developmental and Educational Psychology, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Online Learning and Analytics (27 papers), E-Learning and Knowledge Management (17 papers), Teaching and Learning Programming (11 papers), Innovative Teaching and Learning Methods (11 papers), Autism Spectrum Disorder Research (9 papers), Software Engineering Techniques and Practices (7 papers), Educational Games and Gamification (6 papers) and Online and Blended Learning (5 papers). The work is most often cited by research in Computer Science Applications (352 citations), Computer Networks and Communications (452 citations), Signal Processing (213 citations), Health Information Management (55 citations) and Artificial Intelligence (424 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, Cristian Cechinel, Rodrigo Olivares, Fabián Riquelme, René Noël and Carla Taramasco. Their work appears in journals such as IEEE Access, Applied Sciences, Sensors, Computational Intelligence and Neuroscience and Scientific Reports.

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.

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