Gianluca de Pascale
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Renewable Energy, Sustainability and the Environment
- Building and Construction top 10%
- Co-authors
- Alessandro AgnetisAntonio VicinoPaolo DettiDario PacciarelliMarco PranzoGiacomo InnocentiGabriella DellinoJoseba Jimeno
- Topics
- Smart Grid Energy Management (4 papers)Scheduling and Optimization Algorithms (2 papers)Energy Efficiency and Management (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringElectrical and Electronic Engineering
In The Last Decade
Gianluca de Pascale
10 papers receiving 346 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 263
- Control and Systems Engineering 175
- Industrial and Manufacturing Engineering 78
- Renewable Energy, Sustainability and the Environment 66
- Building and Construction 58
Countries citing papers authored by Gianluca de Pascale
This map shows the geographic impact of Gianluca de Pascale'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 Gianluca de Pascale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca de Pascale more than expected).
Fields of papers citing papers by Gianluca de Pascale
This network shows the impact of papers produced by Gianluca de Pascale. 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 Gianluca de Pascale. The network helps show where Gianluca de Pascale may publish in the future.
Co-authorship network of co-authors of Gianluca de Pascale
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca de Pascale. A scholar is included among the top collaborators of Gianluca de Pascale 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 Gianluca de Pascale. Gianluca de Pascale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 187 | |
| 2 | 29 | |
| 3 | 28 | |
| 4 | 22 | |
| 5 | 12 | |
| 6 | 68 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | The Haptik Library - a Component based Architecture for Haptic Devices Access | 6 |
| 10 | A GPU-friendly Method for Haptic and Graphic Rendering of Deformable Objects | 3 |
About Gianluca de Pascale
Gianluca de Pascale is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Smart Grid Energy Management (4 papers), Scheduling and Optimization Algorithms (2 papers) and Energy Efficiency and Management (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (78 citations), Control and Systems Engineering (175 citations) and Electrical and Electronic Engineering (263 citations). Gianluca de Pascale has collaborated with scholars based in Italy, Finland and Spain. Frequent co-authors include Alessandro Agnetis, Antonio Vicino, Paolo Detti, Dario Pacciarelli, Marco Pranzo, Giacomo Innocenti, Gabriella Dellino, Joseba Jimeno, Nerea Ruiz and Pablo García-González. Their work appears in journals such as IEEE Transactions on Smart Grid, Journal of Scheduling and International Journal of Operational Research.
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.