Silvia Chiappa
About
In The Last Decade
Silvia Chiappa
24 papers receiving 208 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 113
- Cognitive Neuroscience 94
- Signal Processing 67
- Control and Systems Engineering 50
- Cellular and Molecular Neuroscience 36
Countries citing papers authored by Silvia Chiappa
This map shows the geographic impact of Silvia Chiappa'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 Silvia Chiappa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Chiappa more than expected).
Fields of papers citing papers by Silvia Chiappa
This network shows the impact of papers produced by Silvia Chiappa. 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 Silvia Chiappa. The network helps show where Silvia Chiappa may publish in the future.
Co-authorship network of co-authors of Silvia Chiappa
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Chiappa. A scholar is included among the top collaborators of Silvia Chiappa 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 Silvia Chiappa. Silvia Chiappa 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 | 3 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | Wasserstein Fair Classification | 5 |
| 6 | Recurrent Environment Simulators | 9 |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | Using Bayesian Dynamical Systems for Motion Template Libraries | 15 |
| 11 | Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models | 1 |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 24 | |
| 15 | Generative Independent Component Analysis for EEG Classification | 5 |
| 16 | 10 | |
| 17 | 1 | |
| 18 | HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems | 50 |
| 19 | Studying Phase Synchrony for Classification of Mental Tasks in Brain Machine Interfaces | 1 |
| 20 | EVOLUTION OF THE MENTAL STATES OPERATING A BRAIN-COMPUTER INTERFACE | 4 |
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.