Alessandro Allievi
- Pediatrics, Perinatology and Child Health top 5%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Etienne BurdetTomoki ArichiA. David EdwardsNora TusorSerena J. CounsellAlejandro Melendez-CalderonNazakat MerchantMarta Varela
- Topics
- Neonatal and fetal brain pathology (7 papers)Functional Brain Connectivity Studies (4 papers)Reinforcement Learning in Robotics (3 papers)
- Cited by
- Pediatrics, Perinatology and Child HealthCognitive NeuroscienceRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Alessandro Allievi
15 papers receiving 461 citations
Peers
Comparison fields: 5 of 90
- Pediatrics, Perinatology and Child Health 216
- Cognitive Neuroscience 204
- Radiology, Nuclear Medicine and Imaging 121
- Artificial Intelligence 39
- Biomedical Engineering 37
Countries citing papers authored by Alessandro Allievi
This map shows the geographic impact of Alessandro Allievi'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 Allievi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Allievi more than expected).
Fields of papers citing papers by Alessandro Allievi
This network shows the impact of papers produced by Alessandro Allievi. 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 Allievi. The network helps show where Alessandro Allievi may publish in the future.
Co-authorship network of co-authors of Alessandro Allievi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Allievi. A scholar is included among the top collaborators of Alessandro Allievi 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 Allievi. Alessandro Allievi 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 | 22 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 47 | |
| 6 | 10 | |
| 7 | 52 | |
| 8 | 5 | |
| 9 | 64 | |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 16 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 150 |
About Alessandro Allievi
Alessandro Allievi is a scholar working on Pediatrics, Perinatology and Child Health, Discrete Mathematics and Combinatorics and Cognitive Neuroscience, having authored 15 papers that have together received 468 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (7 papers), Functional Brain Connectivity Studies (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (216 citations), Cognitive Neuroscience (204 citations) and Radiology, Nuclear Medicine and Imaging (121 citations). Alessandro Allievi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Etienne Burdet, Tomoki Arichi, A. David Edwards, Nora Tusor, Serena J. Counsell, Alejandro Melendez-Calderon, Nazakat Merchant, Marta Varela, Christian F. Beckmann and W. Bradley Knox. Their work appears in journals such as NeuroImage, Cerebral Cortex and Artificial Intelligence.
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.