Ana Fred
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 1%
Papers in
-
- EEG and Brain-Computer Interfaces 48
- Co-authors
- Anil K. JainHugo SilvaAndré LourençoHugo GambôaPatrícia BotaChen WangR.C. MartinsMário A. T. Figueiredo
- Journals
- Sensors (5 papers)Neural Computing and Applications (3 papers)Computer Methods and Programs in Biomedicine (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)
- Partner nations
- PortugalUnited StatesNetherlands
In The Last Decade
Ana Fred
165 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cognitive Neuroscience 1.4k
- Signal Processing 671
- Computer Vision and Pattern Recognition 838
- Artificial Intelligence 1.2k
- Cardiology and Cardiovascular Medicine 825
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2018 | 35 | |
| 10 | 2015 | 9 | |
| 11 | 2014 | 47 | |
| 12 | 2010 | 56 | |
| 13 | 2008 | 4 | |
| 14 | 2006 | 10 | |
| 15 | Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, ... (Lecture Notes in Computer Science) | 2006 | 2 |
| 16 | Structural, Syntactic, And Statistical Pattern Recognition: Joint Iapr International Workshops, Sspr 2004 And Spr 2004, Lisbon, Portugal, August 18-20 ... oceedings (Lecture Notes in Computer Science) | 2004 | 0 |
| 17 | 2004 | 3 | |
| 18 | Clustering based on Dissimilarity First Derivatives | 2002 | 2 |
| 19 | Designing Intelligent Tutoring Systems: A Bayesian Approach. | 2001 | 43 |
| 20 | GDOS-A Graphical Diagnosis-Oriented Expert System Development Tool. | 1999 | 1 |
About Ana Fred
Ana Fred is a scholar working on Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 175 papers that have together received 4.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (48 papers), ECG Monitoring and Analysis (40 papers), Non-Invasive Vital Sign Monitoring (19 papers), Advanced Clustering Algorithms Research (18 papers), Emotion and Mood Recognition (14 papers), Biomedical and Engineering Education (11 papers), Semantic Web and Ontologies (10 papers) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Signal Processing (671 citations), Computer Vision and Pattern Recognition (838 citations), Artificial Intelligence (1.2k citations) and Cardiology and Cardiovascular Medicine (825 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, R.C. Martins, Mário A. T. Figueiredo, M.H.C. Law and A. Topchy. Their work appears in journals such as Sensors, Neural Computing and Applications, Computer Methods and Programs in Biomedicine, Scientific Reports and IEEE Access.
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.