Ruben Specogna

1.5k total citations
144 papers, 1.1k citations indexed

About

Ruben Specogna is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Ruben Specogna has authored 144 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 57 papers in Atomic and Molecular Physics, and Optics and 35 papers in Computational Mechanics. Recurrent topics in Ruben Specogna's work include Electromagnetic Simulation and Numerical Methods (56 papers), Electromagnetic Scattering and Analysis (49 papers) and Advanced Numerical Methods in Computational Mathematics (28 papers). Ruben Specogna is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (56 papers), Electromagnetic Scattering and Analysis (49 papers) and Advanced Numerical Methods in Computational Mathematics (28 papers). Ruben Specogna collaborates with scholars based in Italy, France and United States. Ruben Specogna's co-authors include Francesco Trevisan, Paolo Bettini, Paweł Dłotko, Lorenzo Codecasa, A. De Lorenzi, L. Grando, David Esseni, Antonio Affanni, Alberto Pesce and Piergiorgio Alotto and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Journal of Computational Physics.

In The Last Decade

Ruben Specogna

138 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruben Specogna Italy 18 684 360 285 179 164 144 1.1k
Sergej Rjasanow Germany 19 640 0.9× 721 2.0× 497 1.7× 524 2.9× 91 0.6× 62 1.5k
Enzo Tonti Italy 16 383 0.6× 225 0.6× 261 0.9× 342 1.9× 95 0.6× 27 1.0k
Anna‐Karin Tornberg Sweden 24 364 0.5× 351 1.0× 1.1k 3.7× 275 1.5× 147 0.9× 54 1.8k
Igor Tsukerman United States 19 727 1.1× 511 1.4× 223 0.8× 168 0.9× 47 0.3× 99 1.2k
Herbert De Gersem Germany 23 1.3k 1.9× 236 0.7× 348 1.2× 114 0.6× 114 0.7× 273 1.9k
A. Kameari Japan 19 776 1.1× 225 0.6× 150 0.5× 191 1.1× 93 0.6× 77 1.2k
M. Dörr United States 18 239 0.3× 205 0.6× 446 1.6× 315 1.8× 109 0.7× 53 1.1k
Alain Bossavit France 15 763 1.1× 423 1.2× 591 2.1× 331 1.8× 21 0.1× 46 1.3k
Arindam Chatterjee India 5 1.0k 1.5× 686 1.9× 131 0.5× 145 0.8× 63 0.4× 11 1.6k
Zydrunas Gimbutas United States 17 494 0.7× 647 1.8× 256 0.9× 254 1.4× 42 0.3× 28 1.2k

Countries citing papers authored by Ruben Specogna

Since Specialization
Citations

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

Fields of papers citing papers by Ruben Specogna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruben Specogna

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Specogna. A scholar is included among the top collaborators of Ruben Specogna 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 Ruben Specogna. Ruben Specogna 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.
Midrio, M., et al.. (2024). Sub-Gigahertz Path Loss Measurement Campaign in Marine Environment: A Case Study. Sensors. 24(8). 2582–2582. 1 indexed citations
3.
Campagna, Francesco, Francesco Trevisan, & Ruben Specogna. (2024). Real-Time Design and Characterization of Inductive Position Sensors Through AI-Driven DesSS. 1–2. 1 indexed citations
4.
Specogna, Ruben, et al.. (2023). Low-rank compression techniques in integral methods for eddy currents problems. Computer Physics Communications. 289. 108756–108756. 2 indexed citations
5.
Trevisan, Francesco, et al.. (2021). Explicit geometric construction of sparse inverse mass matrices for arbitrary tetrahedral grids. Institutional Research Information System (University of Udine). 2 indexed citations
6.
Specogna, Ruben, et al.. (2021). Modeling and Design of FTJs as Multi-Level Low Energy Memristors for Neuromorphic Computing. IEEE Journal of the Electron Devices Society. 9. 1202–1209. 18 indexed citations
7.
Bettini, Paolo, L. Marrelli, R. Cavazzana, et al.. (2021). Error Fields’ Computation in the RFX-mod2 Reversed Field Pinch. IEEE Transactions on Magnetics. 57(6). 1–4. 1 indexed citations
8.
Battiston, Monica, Elisabetta Lombardi, Ruben Specogna, et al.. (2017). Impedance biosensor for real-time monitoring and prediction of thrombotic individual profile in flowing blood. PLoS ONE. 12(9). e0184941–e0184941. 9 indexed citations
9.
Dłotko, Paweł, et al.. (2017). Topoprocessor: An Efficient Computational Topology Toolbox for <italic>h</italic>-Oriented Eddy Current Formulations. IEEE Transactions on Magnetics. 53(6). 1–4. 6 indexed citations
10.
Lizzit, Daniel, et al.. (2016). Surface roughness limited mobility in multi-gate FETs with arbitrary cross-section. Institutional Research Information System (University of Udine). 36.1.1–36.1.4. 5 indexed citations
11.
Dłotko, Paweł, et al.. (2016). Computation of Relative 1-Cohomology Generators From a 1-Homology Basis for Eddy Currents Boundary Integral Formulations. IEEE Transactions on Magnetics. 52(10). 1–6. 4 indexed citations
12.
Affanni, Antonio, G. Chiorboli, Ruben Specogna, & Francesco Trevisan. (2015). Uncertainty model of electro-optical thrombus growth estimation for early risk detection. Measurement. 79. 260–266. 5 indexed citations
13.
Bettini, Paolo, L. Marrelli, & Ruben Specogna. (2014). Calculation of 3-D Magnetic Fields Produced by MHD Active Control Systems in Fusion Devices. IEEE Transactions on Magnetics. 50(2). 45–48. 11 indexed citations
14.
Dłotko, Paweł & Ruben Specogna. (2014). Lazy Cohomology Generators: A Breakthrough in (Co)homology Computations for CEM. IEEE Transactions on Magnetics. 50(2). 577–580. 20 indexed citations
15.
Dłotko, Paweł & Ruben Specogna. (2013). Physics inspired algorithms for (co)homology computations of three-dimensional combinatorial manifolds with boundary. Computer Physics Communications. 184(10). 2257–2266. 30 indexed citations
16.
Affanni, Antonio, Ruben Specogna, & Francesco Trevisan. (2012). A Discrete Geometric Approach to Cell Membrane and Electrode Contact Impedance Modeling. IEEE Transactions on Biomedical Engineering. 59(9). 2619–2627. 8 indexed citations
17.
Specogna, Ruben, et al.. (2010). Efficient Cohomology Computation for Electromagnetic Modeling. Computer Modeling in Engineering & Sciences. 60(3). 247–278. 20 indexed citations
18.
Dłotko, Paweł, Ruben Specogna, & Francesco Trevisan. (2010). Voltage and Current Sources for Massive Conductors Suitable With the $A{\hbox{-}}\chi$ Geometric Eddy-Current Formulation. IEEE Transactions on Magnetics. 46(8). 3069–3072. 6 indexed citations
19.
Bettini, Paolo, Eugenio Brusa, Mircea Munteanu, Ruben Specogna, & Francesco Trevisan. (2008). Innovative Numerical Methods for Nonlinear MEMS:\\ the Non-Incremental FEM vs. the Discrete Geometric Approach. Computer Modeling in Engineering & Sciences. 33(3). 215–242. 3 indexed citations
20.
Codecasa, Lorenzo, Ruben Specogna, & Francesco Trevisan. (2008). Discrete Constitutive Equations over Hexahedral Grids for Eddy-current Problems. Computer Modeling in Engineering & Sciences. 31(3). 129–144. 12 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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