Mario Ortíz

869 citations
52 papers · 570 indexed · h-index 14
Topics
EEG and Brain-Computer Interfaces (40 papers)Muscle activation and electromyography studies (28 papers)Neuroscience and Neural Engineering (23 papers)
Partner nations
SpainUnited StatesMexico

In The Last Decade

Mario Ortíz

48 papers receiving 548 citations

Peers

Mario Ortíz
Comparison fields: 5 of 84
  • Cognitive Neuroscience 269
  • Electrical and Electronic Engineering 195
  • Biomedical Engineering 168
  • Cellular and Molecular Neuroscience 133
  • Rehabilitation 65
Replace Renan C. Moioli with:
Renan C. Moioli Brazil
Sunil Jacob India
Mark N. Gasson United Kingdom
Toshihiro Kawase Japan
Lykourgos Petropoulakis United Kingdom
Enrique Hortal Spain
Aikaterini D. Koutsou Spain
Xugang Xi China
Edgard Lamounier Brazil
Athanasios Vourvopoulos Portugal
Mario Ortíz relative to Renan C. Moioli Brazil Renan C. Moioli's profile →
Citations per field
00.5×2.7×
Renan C. Moioli · 1×
Citations per year

Countries citing papers authored by Mario Ortíz

Since Specialization
Citations

This map shows the geographic impact of Mario Ortíz'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 Mario Ortíz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Ortíz more than expected).

Fields of papers citing papers by Mario Ortíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Ortíz. 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 Mario Ortíz. The network helps show where Mario Ortíz may publish in the future.

Co-authorship network of co-authors of Mario Ortíz

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ortíz. A scholar is included among the top collaborators of Mario Ortíz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Ortíz. Mario Ortíz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 2
3 4
4 4
5 11
6 5
7 2
8 4
9 7
10 2
11 22
12 14
13 20
14 27
15 3
16 26
17 19
18
Analysis of different testing parameters in Self-Organizing Maps for short-term load demand forecasting in Spain
3
19
Comparative analysis of self organizing maps vs. multilayer perceptron neural networks for short-term load forecasting
12
20
On the structure of the mean flow in the Blanes Canyon area (NW Mediterranean) during summer
10

About Mario Ortíz

Mario Ortíz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Rehabilitation, having authored 52 papers that have together received 570 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (40 papers), Muscle activation and electromyography studies (28 papers) and Neuroscience and Neural Engineering (23 papers). The work is most often cited by research in Cognitive Neuroscience (269 citations), Rehabilitation (65 citations) and Cellular and Molecular Neuroscience (133 citations). Mario Ortíz has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include José M. Azorín, Eduardo Iáñez, S. Valero, Antonio Gabaldón, C. Senabre, Laura Ferrero, Carlos Álvarez-Bel, F.J.G. Franco, Pedro Martínez and Francisco Javier Aguilar Valero. Their work appears in journals such as IEEE Access, Sensors and Frontiers in 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.

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