Hugo Gambôa
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Ana FredDuarte FolgadoMarília BarandasTanja SchultzHui LiuSara SantosJoão RodriguesPatrícia Bota
- Topics
- Time Series Analysis and Forecasting (19 papers)EEG and Brain-Computer Interfaces (18 papers)ECG Monitoring and Analysis (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceAdvanced Functional Materials
- Partner nations
- PortugalUnited StatesSpain
In The Last Decade
Hugo Gambôa
159 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Biomedical Engineering 500
- Artificial Intelligence 422
- Signal Processing 390
- Computer Vision and Pattern Recognition 376
- Cardiology and Cardiovascular Medicine 369
Countries citing papers authored by Hugo Gambôa
This map shows the geographic impact of Hugo Gambôa'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 Hugo Gambôa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Gambôa more than expected).
Fields of papers citing papers by Hugo Gambôa
This network shows the impact of papers produced by Hugo Gambôa. 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 Hugo Gambôa. The network helps show where Hugo Gambôa may publish in the future.
Co-authorship network of co-authors of Hugo Gambôa
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Gambôa. A scholar is included among the top collaborators of Hugo Gambôa 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 Hugo Gambôa. Hugo Gambôa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | Activity Recognition for an Intelligent Knee Orthosis | 5 |
| 18 | 4 | |
| 19 | Widam - Web Interaction Display and Monitoring. | 7 |
| 20 | Designing Intelligent Tutoring Systems: A Bayesian Approach. | 43 |
About Hugo Gambôa
Hugo Gambôa is a scholar working on Medical Laboratory Technology, Signal Processing and Biomedical Engineering, having authored 171 papers that have together received 2.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (19 papers), EEG and Brain-Computer Interfaces (18 papers) and ECG Monitoring and Analysis (16 papers). The work is most often cited by research in Health Informatics (58 citations), Signal Processing (390 citations) and Computer Vision and Pattern Recognition (376 citations). Hugo Gambôa has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Ana Fred, Duarte Folgado, Marília Barandas, Tanja Schultz, Hui Liu, Sara Santos, João Rodrigues, Patrícia Bota, Hugo Silva and Mariana Abreu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.
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.