Luigi Acerbi
About
In The Last Decade
Luigi Acerbi
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 323
- Experimental and Cognitive Psychology 128
- Artificial Intelligence 42
- Social Psychology 35
- Developmental and Educational Psychology 35
Countries citing papers authored by Luigi Acerbi
This map shows the geographic impact of Luigi Acerbi'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 Luigi Acerbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Acerbi more than expected).
Fields of papers citing papers by Luigi Acerbi
This network shows the impact of papers produced by Luigi Acerbi. 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 Luigi Acerbi. The network helps show where Luigi Acerbi may publish in the future.
Co-authorship network of co-authors of Luigi Acerbi
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Acerbi. A scholar is included among the top collaborators of Luigi Acerbi 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 Luigi Acerbi. Luigi Acerbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | Variational Bayesian Monte Carlo with Noisy Likelihoods | 1 |
| 6 | 8 | |
| 7 | 22 | |
| 8 | 24 | |
| 9 | An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo. | 3 |
| 10 | 62 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | A Framework for Testing Identifiability of Bayesian Models of Perception | 12 |
| 14 | 99 | |
| 15 | Advances in Neural Information Processing Systems 27 | 6 |
| 16 | Optimality under fire: Dissociating learning from Bayesian integration | 1 |
| 17 | 114 |
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.