Lorena Bociu
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 5%
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Co-authors
- Irena LasieckaDaniel ToundykovGiovanna GuidoboniJustin T. WebsterRiccardo SaccoMohammad A. RammahaJean-Paul ZolésioBoris Muha
- Topics
- Advanced Mathematical Modeling in Engineering (25 papers)Stability and Controllability of Differential Equations (16 papers)Advanced Mathematical Physics Problems (9 papers)
- Journals
- Journal of Computational PhysicsInvestigative Ophthalmology & Visual ScienceJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesItalyFrance
In The Last Decade
Lorena Bociu
35 papers receiving 383 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 282
- Control and Systems Engineering 269
- Mathematical Physics 219
- Applied Mathematics 103
- Computational Mechanics 78
Countries citing papers authored by Lorena Bociu
This map shows the geographic impact of Lorena Bociu'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 Lorena Bociu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Bociu more than expected).
Fields of papers citing papers by Lorena Bociu
This network shows the impact of papers produced by Lorena Bociu. 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 Lorena Bociu. The network helps show where Lorena Bociu may publish in the future.
Co-authorship network of co-authors of Lorena Bociu
This figure shows the co-authorship network connecting the top 25 collaborators of Lorena Bociu. A scholar is included among the top collaborators of Lorena Bociu 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 Lorena Bociu. Lorena Bociu 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 | 5 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 9 | |
| 11 | Sensitivity analysis in poro-elastic and poro-visco-elastic models | 1 |
| 12 | Influence of tissue viscoelasticity on the optic nerve head perfusion: a mathematical model | 1 |
| 13 | 1 | |
| 14 | 42 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 36 | |
| 20 | 62 |
About Lorena Bociu
Lorena Bociu is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Control and Systems Engineering, having authored 40 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (25 papers), Stability and Controllability of Differential Equations (16 papers) and Advanced Mathematical Physics Problems (9 papers). The work is most often cited by research in Mathematical Physics (219 citations), Computational Theory and Mathematics (282 citations) and Control and Systems Engineering (269 citations). Lorena Bociu has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Irena Lasiecka, Daniel Toundykov, Giovanna Guidoboni, Justin T. Webster, Riccardo Sacco, Mohammad A. Rammaha, Jean-Paul Zolésio, Boris Muha, Maurizio Verri and Marcella Noorman. Their work appears in journals such as Journal of Computational Physics, Investigative Ophthalmology & Visual Science and Journal of Mathematical Analysis and Applications.
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.