Dante Kalise
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Modeling and Simulation top 5%
- Computational Mechanics
- Co-authors
- Ralph KennelEsteban FuentesJosé RodríguezLuis M. Briceño-AriasGiacomo AlbiMaurizio FalconeAlessandro AllaEmiliano Cristiani
- Topics
- Model Reduction and Neural Networks (11 papers)Advanced Control Systems Optimization (7 papers)Distributed Control Multi-Agent Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsIEEE Transactions on Industrial Electronics
- Partner nations
- United KingdomAustriaGermany
In The Last Decade
Dante Kalise
38 papers receiving 509 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 159
- Electrical and Electronic Engineering 128
- Statistical and Nonlinear Physics 96
- Modeling and Simulation 63
- Computational Mechanics 59
Countries citing papers authored by Dante Kalise
This map shows the geographic impact of Dante Kalise'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 Dante Kalise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dante Kalise more than expected).
Fields of papers citing papers by Dante Kalise
This network shows the impact of papers produced by Dante Kalise. 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 Dante Kalise. The network helps show where Dante Kalise may publish in the future.
Co-authorship network of co-authors of Dante Kalise
This figure shows the co-authorship network connecting the top 25 collaborators of Dante Kalise. A scholar is included among the top collaborators of Dante Kalise 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 Dante Kalise. Dante Kalise 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 | 13 | |
| 4 | 7 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression | 2 |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 120 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 3 |
About Dante Kalise
Dante Kalise is a scholar working on Computational Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 40 papers that have together received 526 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (11 papers), Advanced Control Systems Optimization (7 papers) and Distributed Control Multi-Agent Systems (6 papers). The work is most often cited by research in Computational Mathematics (11 citations), Modeling and Simulation (63 citations) and Numerical Analysis (50 citations). Dante Kalise has collaborated with scholars based in United Kingdom, Austria and Germany. Frequent co-authors include Ralph Kennel, Esteban Fuentes, José Rodríguez, Luis M. Briceño-Arias, Giacomo Albi, Maurizio Falcone, Alessandro Alla, Emiliano Cristiani, Karl Kunisch and Massimo Fornasier. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Industrial Electronics.
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.