Carlo Ciliberto
About
In The Last Decade
Carlo Ciliberto
35 papers receiving 617 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 425
- Computer Vision and Pattern Recognition 187
- Atomic and Molecular Physics, and Optics 79
- Control and Systems Engineering 77
- Cognitive Neuroscience 64
Countries citing papers authored by Carlo Ciliberto
This map shows the geographic impact of Carlo Ciliberto'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 Carlo Ciliberto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Ciliberto more than expected).
Fields of papers citing papers by Carlo Ciliberto
This network shows the impact of papers produced by Carlo Ciliberto. 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 Carlo Ciliberto. The network helps show where Carlo Ciliberto may publish in the future.
Co-authorship network of co-authors of Carlo Ciliberto
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Ciliberto. A scholar is included among the top collaborators of Carlo Ciliberto 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 Carlo Ciliberto. Carlo Ciliberto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings | 1 |
| 6 | Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning | 12 |
| 7 | Online-Within-Online Meta-Learning | 4 |
| 8 | 5 | |
| 9 | 4 | |
| 10 | Learning To Learn Around A Common Mean | 11 |
| 11 | 27 | |
| 12 | Consistent Multitask Learning with Nonlinear Output Relations | 6 |
| 13 | 13 | |
| 14 | 2 | |
| 15 | A Consistent Regularization Approach for Structured Prediction | 0 |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 14 |
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.