Francesca Vipiana

3.3k total citations
250 papers, 2.1k citations indexed

About

Francesca Vipiana is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Francesca Vipiana has authored 250 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Electrical and Electronic Engineering, 122 papers in Atomic and Molecular Physics, and Optics and 74 papers in Biomedical Engineering. Recurrent topics in Francesca Vipiana's work include Electromagnetic Scattering and Analysis (120 papers), Electromagnetic Simulation and Numerical Methods (114 papers) and Microwave Imaging and Scattering Analysis (68 papers). Francesca Vipiana is often cited by papers focused on Electromagnetic Scattering and Analysis (120 papers), Electromagnetic Simulation and Numerical Methods (114 papers) and Microwave Imaging and Scattering Analysis (68 papers). Francesca Vipiana collaborates with scholars based in Italy, United States and France. Francesca Vipiana's co-authors include G. Vecchi, J. A. Tobón Vasquez, Donald R. Wilton, Lorenzo Crocco, Rosa Scapaticci, M. A. Francavilla, Paola Pirinoli, Mario R. Casu, D. O. Rodriguez-Duarte and Francesco P. Andriulli and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Francesca Vipiana

221 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesca Vipiana Italy 25 1.4k 991 809 486 306 250 2.1k
A.S. Omar Germany 25 2.2k 1.5× 386 0.4× 426 0.5× 1.3k 2.7× 52 0.2× 286 2.6k
Joe LoVetri Canada 31 1.1k 0.8× 346 0.3× 2.2k 2.7× 273 0.6× 620 2.0× 186 2.8k
Mirco Raffetto Italy 15 504 0.4× 420 0.4× 274 0.3× 151 0.3× 194 0.6× 93 928
A. Rubio Bretones Spain 21 863 0.6× 486 0.5× 178 0.2× 364 0.7× 48 0.2× 104 1.1k
Ali E. Yılmaz United States 19 1.1k 0.7× 860 0.9× 180 0.2× 209 0.4× 70 0.2× 140 1.4k
Ilona Rolfes Germany 16 1.2k 0.8× 116 0.1× 398 0.5× 458 0.9× 138 0.5× 260 1.5k
Francesco P. Andriulli Italy 21 1.4k 1.0× 1.5k 1.5× 179 0.2× 315 0.6× 379 1.2× 155 1.7k
D.P. Nyquist United States 21 911 0.6× 487 0.5× 413 0.5× 787 1.6× 85 0.3× 96 1.7k
Chien‐Ching Chiu Taiwan 18 550 0.4× 340 0.3× 732 0.9× 385 0.8× 108 0.4× 176 1.4k
Andrea Francesco Morabito Italy 27 848 0.6× 125 0.1× 318 0.4× 1.1k 2.3× 72 0.2× 104 1.6k

Countries citing papers authored by Francesca Vipiana

Since Specialization
Citations

This map shows the geographic impact of Francesca Vipiana'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 Francesca Vipiana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Vipiana more than expected).

Fields of papers citing papers by Francesca Vipiana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Vipiana. 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 Francesca Vipiana. The network helps show where Francesca Vipiana may publish in the future.

Co-authorship network of co-authors of Francesca Vipiana

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Vipiana. A scholar is included among the top collaborators of Francesca Vipiana 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 Francesca Vipiana. Francesca Vipiana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Martín, Victor F., M. Ricci, Donald R. Wilton, William A. Johnson, & Francesca Vipiana. (2024). Automatic MoM Source Integral Quadrature Selection via a Machine Learning Approach. 1–3. 1 indexed citations
3.
Rodriguez-Duarte, D. O., J. A. Tobón Vasquez, Jean‐Charles Bolomey, et al.. (2024). Assessment of a Brain Stroke Microwave Scanner Based on Off-the-Shelf Solid-State Switching. 281–282. 1 indexed citations
4.
5.
Vasquez, J. A. Tobón, et al.. (2024). Field-Based Discretization of the 3-D Contrast Source Inversion Method Applied to Brain Stroke Microwave Imaging. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 8(3). 290–297. 1 indexed citations
6.
Rodriguez-Duarte, D. O., J. A. Tobón Vasquez, Rosa Scapaticci, et al.. (2024). On the Use of an Electromechanical and a Solid-State Switching Matrix for a Portable Microwave-Based Brain Stroke Scanner. IEEE Antennas and Wireless Propagation Letters. 23(11). 3342–3346.
7.
Vasquez, J. A. Tobón, et al.. (2023). On the Use of a Localized Huygens’ Surface Scheme for the Adaptive H-Refinement of Multiscale Problems. IEEE Transactions on Antennas and Propagation. 71(12). 9344–9356. 1 indexed citations
8.
Rodriguez-Duarte, D. O., J. A. Tobón Vasquez, Rosa Scapaticci, et al.. (2021). Experimental Validation of a Microwave System for Brain Stroke 3-D Imaging. Diagnostics. 11(7). 1232–1232. 34 indexed citations
9.
Vasquez, J. A. Tobón, Rosa Scapaticci, Giovanna Turvani, et al.. (2020). Noninvasive Inline Food Inspection via Microwave Imaging Technology: An Application Example in the Food Industry. IEEE Antennas and Propagation Magazine. 62(5). 18–32. 58 indexed citations
10.
Vasquez, J. A. Tobón, J. Rivero, Rosa Scapaticci, et al.. (2019). Monitoring of Food Contamination via Microwave Imaging. 5 indexed citations
11.
Vasquez, J. A. Tobón, Zhen Peng, Jin‐Fa Lee, G. Vecchi, & Francesca Vipiana. (2019). Automatic Localized Nonconformal Mesh Refinement for Surface Integral Equations. IEEE Transactions on Antennas and Propagation. 68(2). 967–975. 18 indexed citations
12.
Turvani, Giovanna, Mario R. Casu, J. A. Tobón Vasquez, et al.. (2018). Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring. Journal of Low Power Electronics and Applications. 8(4). 43–43. 11 indexed citations
13.
Zubair, Muhammad, et al.. (2016). Dual-Surface Electric Field Integral Equation Solution of Large Complex Problems. IEEE Transactions on Antennas and Propagation. 64(6). 2577–2582. 3 indexed citations
14.
Vipiana, Francesca, et al.. (2015). A Nonconformal Domain Decomposition Scheme for the Analysis of Multiscale Structures. IEEE Transactions on Antennas and Propagation. 63(8). 3548–3560. 58 indexed citations
15.
Francavilla, M. A., et al.. (2014). A Hierarchical Fast Solver for EFIE-MoM Analysis of Multiscale Structures at Very Low Frequencies. IEEE Transactions on Antennas and Propagation. 62(3). 1523–1528. 28 indexed citations
16.
Arianos, S., G. Dassano, Francesca Vipiana, & M. Orefice. (2011). Design of multi-band compact antennas for automotive communications. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
17.
Vipiana, Francesca, et al.. (2010). Fast Broadband Integral Equation Solver using a Multi-Resolution Basis. Reproductive Health Matters. 25(51). 40–47.
18.
Vipiana, Francesca, M. A. Francavilla, G. Vecchi, & Donald R. Wilton. (2010). Hierarchical fast MoM analysis of large multiscale wire-surface structures. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–4. 1 indexed citations
19.
Vipiana, Francesca, et al.. (2009). Hybrid MoM approaches for high fidelity and effective modeling in large antenna farm and scattering problems. European Conference on Antennas and Propagation. 2132–2135. 8 indexed citations
20.
Pirinoli, Paola, et al.. (2001). The role of spectral localization in the conditioning of the MoM matrix. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

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.

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