Ana Fred
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 0.5%
Papers in
-
- Advanced Clustering Algorithms Research 38
- Bayesian Methods and Mixture Models 13
-
- EEG and Brain-Computer Interfaces 57
- Co-authors
- Anil K. Jain (10 shared papers)Hugo Silva (83 shared papers)André Lourenço (60 shared papers)Hugo Gambôa (27 shared papers)Patrícia Bota (11 shared papers)Chen Wang (2 shared papers)J.M.N. Leitão (11 shared papers)Carlos Carreiras (18 shared papers)
- Journals
- Sensors (5 papers)Lecture notes in computer science (35 papers)Computer Methods and Programs in Biomedicine (3 papers)Neural Computing and Applications (3 papers)IEEE Transactions on Affective Computing (2 papers)
- Partner nations
- PortugalUnited StatesNetherlands
In The Last Decade
Ana Fred
219 papers receiving 5.0k citations
Ana Fred's Hit Papers
Peers
Comparison fields: 5 of 172
- Cognitive Neuroscience 1.6k
- Signal Processing 960
- Artificial Intelligence 1.9k
- Cardiology and Cardiovascular Medicine 1.1k
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Ana Fred
This map shows the geographic impact of Ana Fred'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 Ana Fred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Fred more than expected).
Fields of papers citing papers by Ana Fred
This network shows the impact of papers produced by Ana Fred. 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 Ana Fred. The network helps show where Ana Fred may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana Fred, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combining multiple clusterings using evidence accumulation Hit paper breakdown → | 2005 | 892 |
| 2 | Unveiling the Biometric Potential of Finger-Based ECG Signals Hit paper breakdown → | 2011 | 705 |
| 3 | 2003 | 388 | |
| 4 | A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals Hit paper breakdown → | 2019 | 227 |
| 5 | 2001 | 223 | |
| 6 | 2004 | 142 | |
| 7 | 2005 | 126 | |
| 8 | 2013 | 96 | |
| 9 | 2013 | 86 | |
| 10 | 2019 | 65 | |
| 11 | 2013 | 65 | |
| 12 | 2010 | 65 | |
| 13 | 2002 | 65 | |
| 14 | 2014 | 64 | |
| 15 | 2014 | 55 | |
| 16 | Designing Intelligent Tutoring Systems: A Bayesian Approach. | 2001 | 55 |
| 17 | 2012 | 53 | |
| 18 | 2003 | 51 | |
| 19 | 2003 | 51 | |
| 20 | 2020 | 48 |
About Ana Fred
Ana Fred is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 230 papers that have together received 5.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (57 papers), ECG Monitoring and Analysis (51 papers), Advanced Clustering Algorithms Research (38 papers), Non-Invasive Vital Sign Monitoring (21 papers), Face and Expression Recognition (18 papers), Data Management and Algorithms (17 papers), Emotion and Mood Recognition (15 papers) and Bayesian Methods and Mixture Models (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Signal Processing (960 citations), Artificial Intelligence (1.9k citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Computer Vision and Pattern Recognition (1.2k citations). Ana Fred has collaborated with scholars based in Portugal, United States and Netherlands. Frequent co-authors include Anil K. Jain, Hugo Silva, André Lourenço, Hugo Gambôa, Patrícia Bota, Chen Wang, J.M.N. Leitão, Carlos Carreiras, Mário A. T. Figueiredo and R.C. Martins. Their work appears in journals such as Sensors, Lecture notes in computer science, Computer Methods and Programs in Biomedicine, Neural Computing and Applications and IEEE Transactions on Affective Computing.
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.