Alessandro Achille
About
In The Last Decade
Alessandro Achille
22 papers receiving 348 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 223
- Computer Vision and Pattern Recognition 148
- Neurology 28
- Cognitive Neuroscience 25
- Electrical and Electronic Engineering 20
Countries citing papers authored by Alessandro Achille
This map shows the geographic impact of Alessandro Achille'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 Alessandro Achille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Achille more than expected).
Fields of papers citing papers by Alessandro Achille
This network shows the impact of papers produced by Alessandro Achille. 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 Alessandro Achille. The network helps show where Alessandro Achille may publish in the future.
Co-authorship network of co-authors of Alessandro Achille
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Achille. A scholar is included among the top collaborators of Alessandro Achille 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 Alessandro Achille. Alessandro Achille is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 36 | |
| 12 | Usable Information and Evolution of Optimal Representations During Training | 1 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence | 9 |
| 16 | 34 | |
| 17 | Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies | 18 |
| 18 | 172 | |
| 19 | Critical Learning Periods in Deep Networks. | 22 |
| 20 | Information Dropout: learning optimal representations through noise | 7 |
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.