Emanuele Schiavi
- Radiology, Nuclear Medicine and Imaging top 10%
- Atmospheric Science
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics top 10%
- Co-authors
- A. C. FowlerJesús Ildefonso Díaz DíazAdrián MartínElfar AdalsteinssonIván RamírezCarlos VázquezJ. DuranyNorberto Malpica
- Topics
- Cryospheric studies and observations (7 papers)Arctic and Antarctic ice dynamics (6 papers)Advanced Mathematical Modeling in Engineering (5 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingAtmospheric ScienceComputer Vision and Pattern Recognition
- Partner nations
- SpainUnited StatesSlovakia
In The Last Decade
Emanuele Schiavi
25 papers receiving 306 citations
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 114
- Atmospheric Science 80
- Biomedical Engineering 59
- Computer Vision and Pattern Recognition 55
- Computational Theory and Mathematics 37
Countries citing papers authored by Emanuele Schiavi
This map shows the geographic impact of Emanuele Schiavi'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 Emanuele Schiavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Schiavi more than expected).
Fields of papers citing papers by Emanuele Schiavi
This network shows the impact of papers produced by Emanuele Schiavi. 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 Emanuele Schiavi. The network helps show where Emanuele Schiavi may publish in the future.
Co-authorship network of co-authors of Emanuele Schiavi
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Schiavi. A scholar is included among the top collaborators of Emanuele Schiavi 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 Emanuele Schiavi. Emanuele Schiavi 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 58 | |
| 11 | 28 | |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | Non linear phenomena in Glaciology: ice-surging and streaming | 1 |
| 16 | 0 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 34 | |
| 20 | Sobre algunas ecuaciones en derivadas parciales cuasilineales que aparecen en glaciología | 2 |
About Emanuele Schiavi
Emanuele Schiavi is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 28 papers that have together received 327 indexed citations. Recurring topics across this work include Cryospheric studies and observations (7 papers), Arctic and Antarctic ice dynamics (6 papers) and Advanced Mathematical Modeling in Engineering (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (114 citations), Atmospheric Science (80 citations) and Computer Vision and Pattern Recognition (55 citations). Emanuele Schiavi has collaborated with scholars based in Spain, United States and Slovakia. Frequent co-authors include A. C. Fowler, Jesús Ildefonso Díaz Díaz, Adrián Martín, Elfar Adalsteinsson, Iván Ramírez, Carlos Vázquez, J. Durany, Norberto Malpica, Yiğitcan Eryaman and J. L. Herraiz. Their work appears in journals such as IEEE Transactions on Image Processing, Magnetic Resonance in Medicine and IEEE Access.
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.