A. Formisano

1.8k total citations
118 papers, 724 citations indexed

About

A. Formisano is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Biomedical Engineering. According to data from OpenAlex, A. Formisano has authored 118 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 35 papers in Nuclear and High Energy Physics and 35 papers in Biomedical Engineering. Recurrent topics in A. Formisano's work include Magnetic confinement fusion research (34 papers), Superconducting Materials and Applications (29 papers) and Non-Destructive Testing Techniques (21 papers). A. Formisano is often cited by papers focused on Magnetic confinement fusion research (34 papers), Superconducting Materials and Applications (29 papers) and Non-Destructive Testing Techniques (21 papers). A. Formisano collaborates with scholars based in Italy, Spain and France. A. Formisano's co-authors include R. Martone, Andrea Gaetano Chiariello, Sami Barmada, Mauro Tucci, Carlo Petrarca, Jesús C. Hernández, Dimitri Thomopulos, P. Bruzzone, Francesco Trevisan and Paolo Bettini and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Magnetics.

In The Last Decade

A. Formisano

105 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Formisano Italy 14 299 255 190 135 130 118 724
R. Martone Italy 14 329 1.1× 287 1.1× 279 1.5× 174 1.3× 142 1.1× 128 824
R. Losito Switzerland 18 625 2.1× 215 0.8× 219 1.2× 276 2.0× 93 0.7× 111 1.0k
A. Kameari Japan 19 776 2.6× 161 0.6× 186 1.0× 113 0.8× 358 2.8× 77 1.2k
Ruben Specogna Italy 18 684 2.3× 149 0.6× 79 0.4× 76 0.6× 125 1.0× 144 1.1k
Paolo Bettini Italy 14 461 1.5× 209 0.8× 306 1.6× 190 1.4× 69 0.5× 130 844
T. Nakanishi Japan 17 261 0.9× 381 1.5× 254 1.3× 49 0.4× 80 0.6× 79 1.0k
Sebastian Schöps Germany 16 419 1.4× 156 0.6× 24 0.1× 60 0.4× 78 0.6× 132 837
Jun Luo China 19 471 1.6× 72 0.3× 95 0.5× 139 1.0× 150 1.2× 82 1.1k
P. Polakos United States 16 630 2.1× 188 0.7× 68 0.4× 92 0.7× 33 0.3× 40 1.3k
A. Ouroua United States 18 340 1.1× 88 0.3× 453 2.4× 111 0.8× 75 0.6× 58 999

Countries citing papers authored by A. Formisano

Since Specialization
Citations

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

Fields of papers citing papers by A. Formisano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Formisano

This figure shows the co-authorship network connecting the top 25 collaborators of A. Formisano. A scholar is included among the top collaborators of A. Formisano 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 A. Formisano. A. Formisano 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.
Barmada, Sami, et al.. (2025). Preliminary Breakdown Pulses (PBP): A review on available data and models. Electric Power Systems Research. 242. 111463–111463.
2.
Barmada, Sami, Paolo Di Barba, A. Formisano, Maria Evelina Mognaschi, & Mauro Tucci. (2024). Physics-informed Neural Networks for the Resolution of Analysis Problems in Electromagnetics. The Applied Computational Electromagnetics Society Journal (ACES). 841–848. 3 indexed citations
3.
Formisano, A. & Mauro Tucci. (2024). Machine Learning Approaches for Inverse Problems and Optimal Design in Electromagnetism. Electronics. 13(7). 1167–1167. 2 indexed citations
4.
Guida, Luigi, Debora Bencivenga, Marco Annunziata, et al.. (2023). An optical fiber-based point-of-care test for periodontal MMP-8 detection: A proof of concept. Journal of Dentistry. 134. 104553–104553. 19 indexed citations
5.
Barmada, Sami, Paolo Di Barba, A. Formisano, Maria Evelina Mognaschi, & Mauro Tucci. (2023). Learning-Based Approaches to Current Identification from Magnetic Sensors. Sensors. 23(8). 3832–3832. 2 indexed citations
6.
Bencivenga, Debora, Marco Annunziata, Nunzio Cennamo, et al.. (2022). Effects of Magnetic Stimulation on Dental Implant Osseointegration: A Scoping Review. Applied Sciences. 12(9). 4496–4496. 7 indexed citations
7.
Aprili, P., et al.. (2022). Current Centre Line Control, Results and Comparison After the Manufacturing of the ITER Toroidal Field Coils. IEEE Transactions on Applied Superconductivity. 32(6). 1–5.
8.
Formisano, A.. (2019). A Comparison of Different Formulations for an Inverse Source Magnetostatic Problem. 1 indexed citations
9.
Bettini, Paolo, Andrea Gaetano Chiariello, A. Formisano, et al.. (2019). Real time assessment of the magnetic diagnostic system in RFX-mod. Fusion Engineering and Design. 146. 426–429. 3 indexed citations
10.
Barba, Paolo Di, A. Formisano, R. Martone, et al.. (2017). A brief survey of robust optimization. International Journal of Applied Electromagnetics and Mechanics. 56(1_suppl). 61–72. 2 indexed citations
11.
Bettini, Paolo, Andrea Gaetano Chiariello, A. Formisano, et al.. (2017). 3D magnetic surfaces reconstruction in RFX-mod. Fusion Engineering and Design. 123. 546–550. 2 indexed citations
12.
Formisano, A., et al.. (2015). Impact of error fields on equilibrium configurations in ITER. Fusion Engineering and Design. 98-99. 1063–1067. 3 indexed citations
13.
Formisano, A., et al.. (2007). An Approach to the Electrical Resistance Tomography Based on Meshless Methods. IEEE Transactions on Magnetics. 43(4). 1717–1720. 8 indexed citations
14.
Formisano, A., et al.. (2006). Criteria for the optimal design of magneto-encephalography measurement system. IEEE Transactions on Magnetics. 42(4). 1155–1158. 5 indexed citations
15.
Bettini, Paolo, E. Cardelli, A. Formisano, et al.. (2004). Direct and inverse electromagnetic methodologies: the proposal of MADEND project for ECT analysis. Institutional Research Information System (University of Udine). 1 indexed citations
16.
Formisano, A., et al.. (2004). Stochastic Handling of Tolerances in Robust Magnets Design. IEEE Transactions on Magnetics. 40(2). 1252–1255. 12 indexed citations
17.
Formisano, A. & R. Martone. (2003). Optimisation of magnetic sensors for current reconstruction. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 22(3). 535–548. 6 indexed citations
18.
Bettini, Paolo, A. Formisano, & Francesco Trevisan. (2001). An adaptive method to identify the plasma magnetic contour from magnetic and polarimetric measurements. Fusion Engineering and Design. 56-57. 947–952. 2 indexed citations
19.
Formisano, A., et al.. (2000). A genetic algorithm approach to the design of split coil magnets for MRI. IEEE Transactions on Applied Superconductivity. 10(1). 1376–1379. 23 indexed citations
20.
Bagatin, M., et al.. (1999). Improvements to the Plasma Identification in Fusion Devices via Inclusion of Non Magnetic Measurements. Research Padua Archive (University of Padua). 115–118. 7 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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