Hubert Cecotti
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Human-Computer Interaction top 0.5%
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Anita GraserGirijesh PrasadHaider RazaBarry GiesbrechtYogesh Kumar MeenaDheeraj RatheeAxel GräserMiguel P. Eckstein
- Topics
- EEG and Brain-Computer Interfaces (72 papers)Neural dynamics and brain function (32 papers)Neuroscience and Neural Engineering (28 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroscienceExpert Systems with Applications
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Hubert Cecotti
98 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 2.1k
- Cellular and Molecular Neuroscience 878
- Human-Computer Interaction 670
- Electrical and Electronic Engineering 529
- Signal Processing 429
Countries citing papers authored by Hubert Cecotti
This map shows the geographic impact of Hubert Cecotti'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 Hubert Cecotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Cecotti more than expected).
Fields of papers citing papers by Hubert Cecotti
This network shows the impact of papers produced by Hubert Cecotti. 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 Hubert Cecotti. The network helps show where Hubert Cecotti may publish in the future.
Co-authorship network of co-authors of Hubert Cecotti
This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Cecotti. A scholar is included among the top collaborators of Hubert Cecotti 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 Hubert Cecotti. Hubert Cecotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 79 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 21 | |
| 11 | 37 | |
| 12 | 6 | |
| 13 | 125 | |
| 14 | 74 | |
| 15 | 21 | |
| 16 | 17 | |
| 17 | Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfacesbreakdown → | 564 |
| 18 | 16 | |
| 19 | Neural network pruning for feature selection Application to a P300 Brain-Computer Interface | 5 |
| 20 | Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces | 17 |
About Hubert Cecotti
Hubert Cecotti is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 103 papers that have together received 2.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (72 papers), Neural dynamics and brain function (32 papers) and Neuroscience and Neural Engineering (28 papers). The work is most often cited by research in Human-Computer Interaction (670 citations), Cognitive Neuroscience (2.1k citations) and Cellular and Molecular Neuroscience (878 citations). Hubert Cecotti has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Anita Graser, Girijesh Prasad, Haider Raza, Barry Giesbrecht, Yogesh Kumar Meena, Dheeraj Rathee, Axel Gräser, Miguel P. Eckstein, Ivan Volosyak and Anthony J. Ries. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neuroscience and Expert Systems with Applications.
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.