Tracey Camilleri
- Cognitive Neuroscience top 2%
- Signal Processing top 2%
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Human-Computer Interaction top 2%
- Co-authors
- Simon G. FabriJoseph MuscatBart VanrumsteMichalis ZervakisTracey CassarKenneth P. CamilleriVangelis SakkalisPetros Xanthopoulos
- Topics
- EEG and Brain-Computer Interfaces (35 papers)Gaze Tracking and Assistive Technology (15 papers)Blind Source Separation Techniques (13 papers)
- Partner nations
- MaltaGreeceUnited Kingdom
In The Last Decade
Tracey Camilleri
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 1.2k
- Signal Processing 264
- Cellular and Molecular Neuroscience 224
- Radiology, Nuclear Medicine and Imaging 191
- Human-Computer Interaction 157
Countries citing papers authored by Tracey Camilleri
This map shows the geographic impact of Tracey Camilleri'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 Tracey Camilleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracey Camilleri more than expected).
Fields of papers citing papers by Tracey Camilleri
This network shows the impact of papers produced by Tracey Camilleri. 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 Tracey Camilleri. The network helps show where Tracey Camilleri may publish in the future.
Co-authorship network of co-authors of Tracey Camilleri
This figure shows the co-authorship network connecting the top 25 collaborators of Tracey Camilleri. A scholar is included among the top collaborators of Tracey Camilleri 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 Tracey Camilleri. Tracey Camilleri 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 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 28 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | Review on solving the inverse problem in EEG source analysisbreakdown → | 779 |
| 16 | 2 | |
| 17 | Applying ICA to Single Trial Auditory P300 and CNV Evoked Potentials to Provide Biomarkers | 1 |
| 18 | Comparison of Single Trial Back Projected Independent Components with the Averaged Waveform for the Extraction of Biomarkers of Auditory P300 Evoked Potentials | 1 |
| 19 | 18 | |
| 20 | 348 |
About Tracey Camilleri
Tracey Camilleri is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (35 papers), Gaze Tracking and Assistive Technology (15 papers) and Blind Source Separation Techniques (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Human-Computer Interaction (157 citations) and Signal Processing (264 citations). Tracey Camilleri has collaborated with scholars based in Malta, Greece and United Kingdom. Frequent co-authors include Simon G. Fabri, Joseph Muscat, Bart Vanrumste, Michalis Zervakis, Tracey Cassar, Kenneth P. Camilleri, Vangelis Sakkalis, Petros Xanthopoulos, Owen Falzon and Hans Hallez. Their work appears in journals such as Sensors, Journal of Neuroscience Methods and Journal of Neural Engineering.
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.