Marco Vacca

1.3k total citations
76 papers, 829 citations indexed

About

Marco Vacca is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Marco Vacca has authored 76 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 32 papers in Computational Theory and Mathematics and 22 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Marco Vacca's work include Quantum-Dot Cellular Automata (32 papers), Semiconductor materials and devices (28 papers) and Advanced Memory and Neural Computing (27 papers). Marco Vacca is often cited by papers focused on Quantum-Dot Cellular Automata (32 papers), Semiconductor materials and devices (28 papers) and Advanced Memory and Neural Computing (27 papers). Marco Vacca collaborates with scholars based in Italy, United Kingdom and United States. Marco Vacca's co-authors include Mariagrazia Graziano, Maurizio Zamboni, Giovanna Turvani, Fabrizio Riente, Massimo Ruo Roch, Alessandro Chiolerio, Francesca Vipiana, Mario R. Casu, Azzurra Pulimeno and J. A. Tobón Vasquez and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Electron Devices.

In The Last Decade

Marco Vacca

72 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Vacca Italy 17 654 478 267 141 51 76 829
Mariagrazia Graziano Italy 20 1.3k 1.9× 869 1.8× 496 1.9× 167 1.2× 94 1.8× 175 1.5k
Saeed Rasouli Heikalabad Iran 23 1.0k 1.6× 1.1k 2.3× 522 2.0× 50 0.4× 8 0.2× 54 1.3k
J.E. Brewer United States 13 671 1.0× 57 0.1× 108 0.4× 105 0.7× 79 1.5× 33 837
Harish M. Kittur India 11 498 0.8× 166 0.3× 88 0.3× 165 1.2× 137 2.7× 66 656
Mark E. Lasher United States 9 242 0.4× 111 0.2× 66 0.2× 32 0.2× 16 0.3× 17 361
Andrea Gerosa Italy 18 845 1.3× 29 0.1× 76 0.3× 393 2.8× 6 0.1× 77 975
R. K. Sarin India 16 698 1.1× 160 0.3× 84 0.3× 260 1.8× 5 0.1× 64 764
R.S. Indeck United States 11 96 0.1× 58 0.1× 147 0.6× 35 0.2× 38 0.7× 43 384
Eric Belhaire France 12 557 0.9× 43 0.1× 354 1.3× 40 0.3× 89 1.7× 44 675
Laurence W. Nagel United States 10 651 1.0× 49 0.1× 75 0.3× 122 0.9× 105 2.1× 20 779

Countries citing papers authored by Marco Vacca

Since Specialization
Citations

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

Fields of papers citing papers by Marco Vacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Vacca

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Vacca. A scholar is included among the top collaborators of Marco Vacca 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 Marco Vacca. Marco Vacca 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.
Vacca, Marco, et al.. (2025). Unfolding potential and challenges in molecular field-coupled nanocomputing. Nano Futures. 9(1). 12501–12501.
2.
Vacca, Marco, et al.. (2025). DExIMA: Design Explorer for In-Memory Architectures. IEEE Access. 13. 79217–79236.
3.
Vacca, Marco, et al.. (2023). Enabling Logic Computation Between Ta/CoFeB/MgO Nanomagnets. IEEE Transactions on Magnetics. 59(5). 1–10. 2 indexed citations
4.
Roch, Massimo Ruo, et al.. (2023). NS-GAAFET Compact Modeling: Technological Challenges in Sub-3-nm Circuit Performance. Electronics. 12(6). 1487–1487. 4 indexed citations
5.
Vacca, Marco, et al.. (2022). Impact of Molecular Electrostatics on Field-Coupled Nanocomputing and Quantum-Dot Cellular Automata Circuits. Electronics. 11(2). 276–276. 14 indexed citations
6.
Riente, Fabrizio, et al.. (2022). RISC-Vlim, a RISC-V Framework for Logic-in-Memory Architectures. Electronics. 11(19). 2990–2990. 3 indexed citations
7.
Roch, Massimo Ruo, et al.. (2022). Tunnel Field-Effect Transistor: Impact of the Asymmetric and Symmetric Ambipolarity on Fault and Performance in Digital Circuits. Journal of Low Power Electronics and Applications. 12(4). 58–58. 1 indexed citations
8.
Turvani, Giovanna, et al.. (2021). Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories. Electronics. 10(18). 2291–2291. 3 indexed citations
9.
Riente, Fabrizio, et al.. (2021). A memristor-based sensing and repair system for photovoltaic modules. Microelectronics Reliability. 117. 114026–114026. 2 indexed citations
10.
Turvani, Giovanna, et al.. (2020). Data Processing and Information Classification—An In-Memory Approach. Sensors. 20(6). 1681–1681. 3 indexed citations
11.
Vacca, Marco, et al.. (2020). Logic-in-Memory Computation: Is It Worth It? A Binary Neural Network Case Study. Journal of Low Power Electronics and Applications. 10(1). 7–7. 9 indexed citations
12.
Turvani, Giovanna, et al.. (2018). Physical Simulations of High Speed and Low Power NanoMagnet Logic Circuits. Journal of Low Power Electronics and Applications. 8(4). 37–37. 2 indexed citations
13.
Riente, Fabrizio, et al.. (2018). Architectural exploration of perpendicular Nano Magnetic Logic based circuits. Integration. 63. 275–282. 11 indexed citations
14.
Riente, Fabrizio, et al.. (2017). MagCAD: Tool for the Design of 3-D Magnetic Circuits. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 3. 65–73. 29 indexed citations
15.
Riente, Fabrizio, Giovanna Turvani, Marco Vacca, et al.. (2017). ToPoliNano: A CAD Tool for Nano Magnetic Logic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36(7). 1061–1074. 45 indexed citations
16.
Giri, Davide, et al.. (2016). Modeling, Design, and Analysis of MagnetoElastic NML Circuits. IEEE Transactions on Nanotechnology. 15(6). 977–985. 8 indexed citations
17.
Vacca, Marco, et al.. (2016). Virtual Clocking for NanoMagnet Logic. IEEE Transactions on Nanotechnology. 15(6). 962–970. 19 indexed citations
18.
Vacca, Marco, Stefano Frache, Mariagrazia Graziano, & Maurizio Zamboni. (2012). ToPoliNano: A synthesis and simulation tool for NML circuits. 8. 1–6. 10 indexed citations
19.
Vacca, Marco, et al.. (1995). The solution to the Cauchy problem for a class of nonlinear integrodifferential equations. Applied Mathematics Letters. 8(4). 25–28.
20.
Vacca, Marco, et al.. (1990). Parameter identification by solution of inverse problem referred to mathematical models of continuum physics. Mathematical and Computer Modelling. 13(2). 79–84. 5 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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