Armando Freitas da Rocha
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Social Psychology
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Eduardo MassadFrancisco Antônio Bezerra CoutinhoAlfredo PereiraAndré Fábio KohnJ. P. SegundoMarcelo Nascimento BurattiniLúcia Helena Fávaro ArrudaEdward J. N. Stupple
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Neural dynamics and brain function (7 papers)Neural and Behavioral Psychology Studies (7 papers)
- Partner nations
- BrazilPortugalUnited Kingdom
In The Last Decade
Armando Freitas da Rocha
35 papers receiving 325 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 209
- Cellular and Molecular Neuroscience 36
- Social Psychology 36
- Artificial Intelligence 36
- Molecular Biology 31
Countries citing papers authored by Armando Freitas da Rocha
This map shows the geographic impact of Armando Freitas da Rocha'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 Armando Freitas da Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Freitas da Rocha more than expected).
Fields of papers citing papers by Armando Freitas da Rocha
This network shows the impact of papers produced by Armando Freitas da Rocha. 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 Armando Freitas da Rocha. The network helps show where Armando Freitas da Rocha may publish in the future.
Co-authorship network of co-authors of Armando Freitas da Rocha
This figure shows the co-authorship network connecting the top 25 collaborators of Armando Freitas da Rocha. A scholar is included among the top collaborators of Armando Freitas da Rocha 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 Armando Freitas da Rocha. Armando Freitas da Rocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | DEFINING TECHNICAL LOSSES TARGETS USING DATA ENVELOPMENT ANALYSIS AND TECHNICAL-ECONOMIC ANALYSIS | 2 |
| 8 | 7 | |
| 9 | A Neuromarketing Study of Consumer Satisfaction | 2 |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 37 | |
| 18 | 21 | |
| 19 | 31 | |
| 20 | 19 |
About Armando Freitas da Rocha
Armando Freitas da Rocha is a scholar working on General Decision Sciences, Cognitive Neuroscience and Physiology, having authored 35 papers that have together received 387 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (7 papers) and Neural and Behavioral Psychology Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (209 citations), General Decision Sciences (5 citations) and Statistics and Probability (22 citations). Armando Freitas da Rocha has collaborated with scholars based in Brazil, Portugal and United Kingdom. Frequent co-authors include Eduardo Massad, Francisco Antônio Bezerra Coutinho, Alfredo Pereira, André Fábio Kohn, J. P. Segundo, Marcelo Nascimento Burattini, Lúcia Helena Fávaro Arruda, Edward J. N. Stupple, João Paulo Vieito and Alfredo F. Pereira. Their work appears in journals such as PLoS ONE, Brain Research and Progress in Neurobiology.
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.