Alice Patania
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Giovanni PetriFrancesco VaccarinoJean-Gabriel YoungRami N. KhushabaEsther Ibáñez‐MarceloErik SchemeAngkoon PhinyomarkThomas F. Varley
- Topics
- Topological and Geometric Data Analysis (7 papers)Complex Network Analysis Techniques (5 papers)Bioinformatics and Genomic Networks (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational Theory and MathematicsCognitive Neuroscience
- Journals
- Journal of The Royal Society InterfaceAlzheimer s & DementiaProceedings of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United StatesItalyCanada
In The Last Decade
Alice Patania
13 papers receiving 403 citations
Peers
Comparison fields: 5 of 76
- Statistical and Nonlinear Physics 195
- Cognitive Neuroscience 115
- Computational Theory and Mathematics 107
- Molecular Biology 69
- Biomedical Engineering 65
Countries citing papers authored by Alice Patania
This map shows the geographic impact of Alice Patania'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 Alice Patania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Patania more than expected).
Fields of papers citing papers by Alice Patania
This network shows the impact of papers produced by Alice Patania. 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 Alice Patania. The network helps show where Alice Patania may publish in the future.
Co-authorship network of co-authors of Alice Patania
This figure shows the co-authorship network connecting the top 25 collaborators of Alice Patania. A scholar is included among the top collaborators of Alice Patania 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 Alice Patania. Alice Patania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 154 | |
| 11 | 50 | |
| 12 | 56 | |
| 13 | 50 |
About Alice Patania
Alice Patania is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 13 papers that have together received 411 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (7 papers), Complex Network Analysis Techniques (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (195 citations), Computational Theory and Mathematics (107 citations) and Cognitive Neuroscience (115 citations). Alice Patania has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Giovanni Petri, Francesco Vaccarino, Jean-Gabriel Young, Rami N. Khushaba, Esther Ibáñez‐Marcelo, Erik Scheme, Angkoon Phinyomark, Thomas F. Varley, Olaf Sporns and Ottavia Dipasquale. Their work appears in journals such as Journal of The Royal Society Interface, Alzheimer s & Dementia and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.