Maria Savini
About
In The Last Decade
Maria Savini
10 papers receiving 343 citations
Peers
Comparison fields: 5 of 54
- Ecology 167
- Ecology, Evolution, Behavior and Systematics 156
- Developmental Biology 107
- Cognitive Neuroscience 101
- Animal Science and Zoology 61
Countries citing papers authored by Maria Savini
This map shows the geographic impact of Maria Savini'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 Maria Savini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Savini more than expected).
Fields of papers citing papers by Maria Savini
This network shows the impact of papers produced by Maria Savini. 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 Maria Savini. The network helps show where Maria Savini may publish in the future.
Co-authorship network of co-authors of Maria Savini
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Savini. A scholar is included among the top collaborators of Maria Savini 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 Maria Savini. Maria Savini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 42 | |
| 3 | 14 | |
| 4 | 38 | |
| 5 | 4 | |
| 6 | 41 | |
| 7 | 14 | |
| 8 | 34 | |
| 9 | 53 | |
| 10 | 103 |
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.