Hélène Paugam‐Moisy
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Cellular and Molecular Neuroscience
- Co-authors
- André ElisseeffSamy BengioBruno CessacThierry ViévilleYann GuermeurGraham BrightwellClaire KenyonJean‐Pierre Royet
- Topics
- Neural Networks and Applications (14 papers)Neural dynamics and brain function (7 papers)Advanced Memory and Neural Computing (6 papers)
- Partner nations
- FranceGuadeloupeUnited States
In The Last Decade
Hélène Paugam‐Moisy
28 papers receiving 296 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 163
- Cognitive Neuroscience 132
- Electrical and Electronic Engineering 123
- Computer Vision and Pattern Recognition 47
- Cellular and Molecular Neuroscience 43
Countries citing papers authored by Hélène Paugam‐Moisy
This map shows the geographic impact of Hélène Paugam‐Moisy'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 Hélène Paugam‐Moisy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Paugam‐Moisy more than expected).
Fields of papers citing papers by Hélène Paugam‐Moisy
This network shows the impact of papers produced by Hélène Paugam‐Moisy. 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 Hélène Paugam‐Moisy. The network helps show where Hélène Paugam‐Moisy may publish in the future.
Co-authorship network of co-authors of Hélène Paugam‐Moisy
This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Paugam‐Moisy. A scholar is included among the top collaborators of Hélène Paugam‐Moisy 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 Hélène Paugam‐Moisy. Hélène Paugam‐Moisy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system | 4 |
| 4 | 43 | |
| 5 | 76 | |
| 6 | 1 | |
| 7 | Spiking Neuron Networks A survey | 11 |
| 8 | 1 | |
| 9 | A distributed and multithreaded neural event driven simulation framework | 7 |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | Size of Multilayer Networks for Exact Learning: Analytic Approach | 27 |
| 15 | 4 | |
| 16 | Multilayer Neural Networks: One or Two Hidden Layers? | 11 |
| 17 | 4 | |
| 18 | Parallel neural computing based on network duplicating | 5 |
| 19 | Parallel neural computation based on algebraic partitioning | 1 |
| 20 | Implementations of multilayer neural networks on parallel architectures | 2 |
About Hélène Paugam‐Moisy
Hélène Paugam‐Moisy is a scholar working on Artificial Intelligence, Sensory Systems and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 320 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Neural dynamics and brain function (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Cognitive Neuroscience (132 citations), Artificial Intelligence (163 citations) and Cellular and Molecular Neuroscience (43 citations). Hélène Paugam‐Moisy has collaborated with scholars based in France, Guadeloupe and United States. Frequent co-authors include André Elisseeff, Samy Bengio, Bruno Cessac, Thierry Viéville, Yann Guermeur, Graham Brightwell, Claire Kenyon, Jean‐Pierre Royet, Gianluca Pollastri and Pierre Baldi. Their work appears in journals such as Neurocomputing, Computers & Geosciences and Chemical Senses.
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.