Michele Allegra
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Nature and Landscape Conservation
- Ecology
- Co-authors
- Paolo GiordaMatteo G. A. ParisSeth LloydKurt JacobsArianna MontorsiCosmo LupoXiaoting WangMasoud Mohseni
- Topics
- Functional Brain Connectivity Studies (9 papers)Quantum Information and Cryptography (8 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Michele Allegra
23 papers receiving 423 citations
Peers
Comparison fields: 5 of 81
- Atomic and Molecular Physics, and Optics 213
- Artificial Intelligence 203
- Cognitive Neuroscience 76
- Nature and Landscape Conservation 44
- Ecology 43
Countries citing papers authored by Michele Allegra
This map shows the geographic impact of Michele Allegra'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 Michele Allegra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Allegra more than expected).
Fields of papers citing papers by Michele Allegra
This network shows the impact of papers produced by Michele Allegra. 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 Michele Allegra. The network helps show where Michele Allegra may publish in the future.
Co-authorship network of co-authors of Michele Allegra
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Allegra. A scholar is included among the top collaborators of Michele Allegra 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 Michele Allegra. Michele Allegra 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 83 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 9 | |
| 13 | Clustering by the local intrinsic dimension: the hidden structure of real-world data. | 1 |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 75 | |
| 17 | 5 | |
| 18 | 38 | |
| 19 | 7 | |
| 20 | 38 |
About Michele Allegra
Michele Allegra is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 24 papers that have together received 438 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Quantum Information and Cryptography (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (213 citations), Artificial Intelligence (203 citations) and Ecological Modeling (24 citations). Michele Allegra has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paolo Giorda, Matteo G. A. Paris, Seth Lloyd, Kurt Jacobs, Arianna Montorsi, Cosmo Lupo, Xiaoting Wang, Masoud Mohseni, Maurizio Corbetta and Andrea Brovelli. Their work appears in journals such as Physical Review Letters, Nature Communications and Bioinformatics.
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.