Luca Rondi
- Mathematical Physics top 1%
- Computational Theory and Mathematics top 2%
- Mechanics of Materials top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Giovanni AlessandriniSergio VessellaEdi RossetMichele Di CristoFadil SantosaHongyu LiuLucia ScardiaMaria Giovanna Mora
- Topics
- Numerical methods in inverse problems (28 papers)Advanced Mathematical Modeling in Engineering (16 papers)Electrical and Bioimpedance Tomography (8 papers)
- Journals
- Communications in Mathematical PhysicsTransactions of the American Mathematical SocietyJournal of Differential Equations
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Luca Rondi
36 papers receiving 804 citations
Peers
Comparison fields: 5 of 46
- Mathematical Physics 690
- Computational Theory and Mathematics 338
- Mechanics of Materials 293
- Biomedical Engineering 265
- Electrical and Electronic Engineering 156
Countries citing papers authored by Luca Rondi
This map shows the geographic impact of Luca Rondi'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 Luca Rondi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Rondi more than expected).
Fields of papers citing papers by Luca Rondi
This network shows the impact of papers produced by Luca Rondi. 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 Luca Rondi. The network helps show where Luca Rondi may publish in the future.
Co-authorship network of co-authors of Luca Rondi
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Rondi. A scholar is included among the top collaborators of Luca Rondi 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 Luca Rondi. Luca Rondi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 11 | |
| 7 | 20 | |
| 8 | 32 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 22 | |
| 16 | 73 | |
| 17 | 6 | |
| 18 | 45 | |
| 19 | 58 | |
| 20 | 31 |
About Luca Rondi
Luca Rondi is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 37 papers that have together received 877 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (28 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Electrical and Bioimpedance Tomography (8 papers). The work is most often cited by research in Mathematical Physics (690 citations), Computational Theory and Mathematics (338 citations) and Mechanics of Materials (293 citations). Luca Rondi has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Giovanni Alessandrini, Sergio Vessella, Edi Rosset, Michele Di Cristo, Fadil Santosa, Hongyu Liu, Lucia Scardia, Maria Giovanna Mora, Joan Verdera and José A. Carrillo. Their work appears in journals such as Communications in Mathematical Physics, Transactions of the American Mathematical Society and Journal of Differential Equations.
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.