Fernando Peruani
About
In The Last Decade
Fernando Peruani
56 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 108
- Condensed Matter Physics 2.5k
- Biomedical Engineering 979
- Statistical and Nonlinear Physics 963
- Molecular Biology 798
- Mechanical Engineering 759
Countries citing papers authored by Fernando Peruani
This map shows the geographic impact of Fernando Peruani'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 Fernando Peruani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Peruani more than expected).
Fields of papers citing papers by Fernando Peruani
This network shows the impact of papers produced by Fernando Peruani. 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 Fernando Peruani. The network helps show where Fernando Peruani may publish in the future.
Co-authorship network of co-authors of Fernando Peruani
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Peruani. A scholar is included among the top collaborators of Fernando Peruani 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 Fernando Peruani. Fernando Peruani 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 28 | |
| 9 | 31 | |
| 10 | 9 | |
| 11 | 33 | |
| 12 | 16 | |
| 13 | 174 | |
| 14 | 243 | |
| 15 | 96 | |
| 16 | 287 | |
| 17 | 38 | |
| 18 | Emergence of a non-scaling degree distribution in bipartite networks: a numerical and analytical study | 20 |
| 19 | 324 | |
| 20 | 49 |
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.