Carmela Marangi
- Ecology top 10%
- Global and Planetary Change top 10%
- Numerical Analysis top 10%
- Public Health, Environmental and Occupational Health
- Ecological Modeling top 10%
- Co-authors
- Fasma DieleStefania RagniCristina TarantinoP. BlondaDeborah LacitignolaRichard LucasC.A. MücherValeria Tomaselli
- Topics
- Numerical methods for differential equations (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)Ecology and Vegetation Dynamics Studies (7 papers)
In The Last Decade
Carmela Marangi
41 papers receiving 388 citations
Peers
Comparison fields: 5 of 77
- Ecology 138
- Global and Planetary Change 114
- Numerical Analysis 73
- Public Health, Environmental and Occupational Health 73
- Ecological Modeling 55
Countries citing papers authored by Carmela Marangi
This map shows the geographic impact of Carmela Marangi'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 Carmela Marangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmela Marangi more than expected).
Fields of papers citing papers by Carmela Marangi
This network shows the impact of papers produced by Carmela Marangi. 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 Carmela Marangi. The network helps show where Carmela Marangi may publish in the future.
Co-authorship network of co-authors of Carmela Marangi
This figure shows the co-authorship network connecting the top 25 collaborators of Carmela Marangi. A scholar is included among the top collaborators of Carmela Marangi 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 Carmela Marangi. Carmela Marangi 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 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 44 | |
| 12 | 15 | |
| 13 | 33 | |
| 14 | Copernicus Biodiversity Monitoring Services | 1 |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 28 | |
| 18 | 1 | |
| 19 | Direct optimization using Gaussian quadrature and continuous Runge-Kutta methods: application to an innovation diffusion model | 1 |
| 20 | 25 |
About Carmela Marangi
Carmela Marangi is a scholar working on Numerical Analysis, Ecological Modeling and Modeling and Simulation, having authored 46 papers that have together received 408 indexed citations. Recurring topics across this work include Numerical methods for differential equations (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Ecology and Vegetation Dynamics Studies (7 papers). The work is most often cited by research in Numerical Analysis (73 citations), Ecological Modeling (55 citations) and Modeling and Simulation (43 citations). Carmela Marangi has collaborated with scholars based in Italy, Australia and Greece. Frequent co-authors include Fasma Diele, Stefania Ragni, Cristina Tarantino, P. Blonda, Deborah Lacitignola, Richard Lucas, C.A. Mücher, Valeria Tomaselli, Maria Adamo and Maria Panitsa. Their work appears in journals such as Physical Review Letters, Scientific Reports and Ecological Modelling.
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.