Davide Gadioli
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Gianluca PalermoCristina SilvanoAndrea R. BeccariStefano MarkidisN. Arul MuruganArtur PodobasCarlo CavazzoniJan Martinovič
- Topics
- Computational Drug Discovery Methods (9 papers)Parallel Computing and Optimization Techniques (8 papers)Protein Structure and Dynamics (5 papers)
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsInformation Systems and Management
In The Last Decade
Davide Gadioli
18 papers receiving 162 citations
Peers
Comparison fields: 5 of 57
- Computational Theory and Mathematics 61
- Molecular Biology 52
- Hardware and Architecture 49
- Computer Networks and Communications 32
- Information Systems 27
Countries citing papers authored by Davide Gadioli
This map shows the geographic impact of Davide Gadioli'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 Davide Gadioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Gadioli more than expected).
Fields of papers citing papers by Davide Gadioli
This network shows the impact of papers produced by Davide Gadioli. 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 Davide Gadioli. The network helps show where Davide Gadioli may publish in the future.
Co-authorship network of co-authors of Davide Gadioli
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Gadioli. A scholar is included among the top collaborators of Davide Gadioli 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 Davide Gadioli. Davide Gadioli 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 | 14 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 5 |
About Davide Gadioli
Davide Gadioli is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Biophysics, having authored 20 papers that have together received 167 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Parallel Computing and Optimization Techniques (8 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Computational Theory and Mathematics (61 citations) and Information Systems and Management (10 citations). Davide Gadioli has collaborated with scholars based in Italy, Finland and Czechia. Frequent co-authors include Gianluca Palermo, Cristina Silvano, Andrea R. Beccari, Stefano Markidis, N. Arul Murugan, Artur Podobas, Carlo Cavazzoni, Jan Martinovič, Carmine Talarico and Candida Manelfi. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and Future Generation Computer Systems.
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.