Renato De Leone
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Numerical Analysis top 5%
- Mathematical Physics top 10%
- Co-authors
- O. L. MangasarianGerardo OdriozolaRajiv JainMinjoong RimJessica RosatiTommaso Di NoiaHeiko PaulheimPetar Ristoski
- Topics
- Advanced Optimization Algorithms Research (13 papers)Matrix Theory and Algorithms (10 papers)Coagulation and Flocculation Studies (7 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry B
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Renato De Leone
76 papers receiving 908 citations
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 250
- Artificial Intelligence 217
- Electrical and Electronic Engineering 176
- Numerical Analysis 166
- Mathematical Physics 100
Countries citing papers authored by Renato De Leone
This map shows the geographic impact of Renato De Leone'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 Renato De Leone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato De Leone more than expected).
Fields of papers citing papers by Renato De Leone
This network shows the impact of papers produced by Renato De Leone. 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 Renato De Leone. The network helps show where Renato De Leone may publish in the future.
Co-authorship network of co-authors of Renato De Leone
This figure shows the co-authorship network connecting the top 25 collaborators of Renato De Leone. A scholar is included among the top collaborators of Renato De Leone 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 Renato De Leone. Renato De Leone 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | RDF graph embeddings for content-based recommender systems | 7 |
| 16 | 9 | |
| 17 | Reducing Power Consuption in Hydrometric Level Sensor Network Using Support Vector Machines | 1 |
| 18 | Electric Load Forecasting: An experimental Comparison | 1 |
| 19 | Support Vector Machines for Robust Regression. | 1 |
| 20 | 28 |
About Renato De Leone
Renato De Leone is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 79 papers that have together received 962 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (13 papers), Matrix Theory and Algorithms (10 papers) and Coagulation and Flocculation Studies (7 papers). The work is most often cited by research in Numerical Analysis (166 citations), Theoretical Computer Science (21 citations) and Computational Theory and Mathematics (250 citations). Renato De Leone has collaborated with scholars based in Italy, United States and China. Frequent co-authors include O. L. Mangasarian, Gerardo Odriozola, Rajiv Jain, Minjoong Rim, Jessica Rosati, Tommaso Di Noia, Heiko Paulheim, Petar Ristoski, R. Hidalgo‐Álvarez and A. Schmitt. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.
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.