Alberto Bernacchia
About
In The Last Decade
Alberto Bernacchia
23 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 314
- Artificial Intelligence 224
- Radiology, Nuclear Medicine and Imaging 175
- Electrical and Electronic Engineering 149
Countries citing papers authored by Alberto Bernacchia
This map shows the geographic impact of Alberto Bernacchia'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 Alberto Bernacchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Bernacchia more than expected).
Fields of papers citing papers by Alberto Bernacchia
This network shows the impact of papers produced by Alberto Bernacchia. 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 Alberto Bernacchia. The network helps show where Alberto Bernacchia may publish in the future.
Co-authorship network of co-authors of Alberto Bernacchia
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Bernacchia. A scholar is included among the top collaborators of Alberto Bernacchia 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 Alberto Bernacchia. Alberto Bernacchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | Non-reversible Gaussian processes for identifying latent dynamical structure in neural data | 7 |
| 6 | Exact natural gradient in deep linear networks and its application to the nonlinear case | 13 |
| 7 | Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography breakdown → | 363 |
| 8 | 19 | |
| 9 | 214 | |
| 10 | A hierarchy of intrinsic timescales across primate cortex breakdown → | 576 |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 73 | |
| 18 | 205 | |
| 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.