Fernando Morgado‐Dias
- Electrical and Electronic Engineering top 10%
- Physiology top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Sheikh Shanawaz MostafaAntonio G. Ravelo‐GarcíaFábio MendonçaSandy RodriguesAlexandre MotaThomas PenzelAna AntunesXiaoju Chen
- Topics
- Obstructive Sleep Apnea Research (21 papers)Neural Networks and Applications (19 papers)EEG and Brain-Computer Interfaces (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEnergy Policy
In The Last Decade
Fernando Morgado‐Dias
137 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 152
- Electrical and Electronic Engineering 531
- Physiology 529
- Biomedical Engineering 464
- Artificial Intelligence 442
- Cognitive Neuroscience 378
Countries citing papers authored by Fernando Morgado‐Dias
This map shows the geographic impact of Fernando Morgado‐Dias'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 Fernando Morgado‐Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Morgado‐Dias more than expected).
Fields of papers citing papers by Fernando Morgado‐Dias
This network shows the impact of papers produced by Fernando Morgado‐Dias. 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 Fernando Morgado‐Dias. The network helps show where Fernando Morgado‐Dias may publish in the future.
Co-authorship network of co-authors of Fernando Morgado‐Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Morgado‐Dias. A scholar is included among the top collaborators of Fernando Morgado‐Dias 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 Fernando Morgado‐Dias. Fernando Morgado‐Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 40 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 21 | |
| 17 | 155 | |
| 18 | 35 | |
| 19 | 2 | |
| 20 | A global model for fault tolerance of feedforward neural networks | 3 |
About Fernando Morgado‐Dias
Fernando Morgado‐Dias is a scholar working on Energy Engineering and Power Technology, Artificial Intelligence and Cognitive Neuroscience, having authored 143 papers that have together received 2.3k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (21 papers), Neural Networks and Applications (19 papers) and EEG and Brain-Computer Interfaces (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (160 citations), Physiology (529 citations) and Cognitive Neuroscience (378 citations). Fernando Morgado‐Dias has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Sheikh Shanawaz Mostafa, Antonio G. Ravelo‐García, Fábio Mendonça, Sandy Rodrigues, Alexandre Mota, Thomas Penzel, Ana Antunes, Xiaoju Chen, Herlander Mata‐Lima and Fábio Silva Faria. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Energy Policy.
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.