Guillaume Garreau
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Dharmendra S. ModhaJeffrey L. McKinstryDavid Van Den BergMyron FlicknerMichael DeBoleSteve K. EsserBrian TabaTapan K. Nayak
- Topics
- Advanced Memory and Neural Computing (5 papers)Gait Recognition and Analysis (5 papers)Neural dynamics and brain function (3 papers)
- Journals
- Journal of Computational PhysicsFrontiers in NeuroscienceInternational Journal of Neural Systems
- Partner nations
- United StatesCyprusUnited Kingdom
In The Last Decade
Guillaume Garreau
17 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Electrical and Electronic Engineering 506
- Cognitive Neuroscience 273
- Artificial Intelligence 235
- Computer Vision and Pattern Recognition 109
- Cellular and Molecular Neuroscience 86
Countries citing papers authored by Guillaume Garreau
This map shows the geographic impact of Guillaume Garreau'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 Guillaume Garreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Garreau more than expected).
Fields of papers citing papers by Guillaume Garreau
This network shows the impact of papers produced by Guillaume Garreau. 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 Guillaume Garreau. The network helps show where Guillaume Garreau may publish in the future.
Co-authorship network of co-authors of Guillaume Garreau
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Garreau. A scholar is included among the top collaborators of Guillaume Garreau 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 Guillaume Garreau. Guillaume Garreau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | A Low Power, Fully Event-Based Gesture Recognition Systembreakdown → | 559 |
| 3 | 24 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 37 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 24 |
About Guillaume Garreau
Guillaume Garreau is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 17 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Gait Recognition and Analysis (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (273 citations), Electrical and Electronic Engineering (506 citations) and Human-Computer Interaction (42 citations). Guillaume Garreau has collaborated with scholars based in United States, Cyprus and United Kingdom. Frequent co-authors include Dharmendra S. Modha, Jeffrey L. McKinstry, David Van Den Berg, Myron Flickner, Michael DeBole, Steve K. Esser, Brian Taba, Tapan K. Nayak, Tobi Delbrück and Arnon Amir. Their work appears in journals such as Journal of Computational Physics, Frontiers in Neuroscience and International Journal of Neural Systems.
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.