G. Cortiana
- Artificial Intelligence
- Electrical and Electronic Engineering
- Nuclear and High Energy Physics
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Juan Bernabé-MorenoChristian B. MendlNaeimeh MohseniClaudia Linnhoff‐PopienD. BucherAntonello MontiM. VolpiSergiy Zhuk
- Topics
- Quantum Computing Algorithms and Architecture (6 papers)Particle physics theoretical and experimental studies (6 papers)Particle Detector Development and Performance (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Smart Grid
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
G. Cortiana
14 papers receiving 63 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 31
- Electrical and Electronic Engineering 16
- Nuclear and High Energy Physics 13
- Computational Theory and Mathematics 10
- Computer Networks and Communications 5
Countries citing papers authored by G. Cortiana
This map shows the geographic impact of G. Cortiana'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 G. Cortiana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Cortiana more than expected).
Fields of papers citing papers by G. Cortiana
This network shows the impact of papers produced by G. Cortiana. 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 G. Cortiana. The network helps show where G. Cortiana may publish in the future.
Co-authorship network of co-authors of G. Cortiana
This figure shows the co-authorship network connecting the top 25 collaborators of G. Cortiana. A scholar is included among the top collaborators of G. Cortiana 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 G. Cortiana. G. Cortiana 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 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 0 |
About G. Cortiana
G. Cortiana is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Transportation, having authored 20 papers that have together received 65 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Particle physics theoretical and experimental studies (6 papers) and Particle Detector Development and Performance (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (13 citations), Artificial Intelligence (31 citations) and Computational Theory and Mathematics (10 citations). G. Cortiana has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Juan Bernabé-Moreno, Christian B. Mendl, Naeimeh Mohseni, Claudia Linnhoff‐Popien, D. Bucher, Antonello Monti, M. Volpi, Sergiy Zhuk, M. Bettini and C. Ferrazza. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Smart Grid.
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.