G. Falci

5.5k total citations · 2 hit papers
115 papers, 4.1k citations indexed

About

G. Falci is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, G. Falci has authored 115 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Atomic and Molecular Physics, and Optics, 73 papers in Artificial Intelligence and 24 papers in Condensed Matter Physics. Recurrent topics in G. Falci's work include Quantum Information and Cryptography (73 papers), Quantum and electron transport phenomena (55 papers) and Quantum Computing Algorithms and Architecture (40 papers). G. Falci is often cited by papers focused on Quantum Information and Cryptography (73 papers), Quantum and electron transport phenomena (55 papers) and Quantum Computing Algorithms and Architecture (40 papers). G. Falci collaborates with scholars based in Italy, United Kingdom and Germany. G. Falci's co-authors include Rosario Fazio, Andreas Osterloh, Elisabetta Paladino, Luigi Amico, A. D’Arrigo, A. Mastellone, B. L. Altshuler, Lara Faoro, F. W. J. Hekking and Giuliano Benenti and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

G. Falci

108 papers receiving 4.1k citations

Hit Papers

Scaling of entanglement close to a quantum phase transition 2002 2026 2010 2018 2002 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Falci Italy 29 3.8k 2.8k 693 434 291 115 4.1k
Harry Levine United States 11 3.8k 1.0× 2.2k 0.8× 582 0.8× 519 1.2× 157 0.5× 14 4.3k
Alexander Keesling United States 10 3.8k 1.0× 2.1k 0.8× 582 0.8× 518 1.2× 154 0.5× 13 4.2k
Yuriy Makhlin Russia 17 3.9k 1.0× 3.0k 1.1× 531 0.8× 294 0.7× 389 1.3× 42 4.1k
Guido Pagano United States 21 3.6k 0.9× 1.5k 0.5× 707 1.0× 745 1.7× 137 0.5× 32 4.1k
Julio T. Barreiro United States 20 6.8k 1.8× 3.9k 1.4× 617 0.9× 517 1.2× 443 1.5× 48 7.4k
Rajibul Islam United States 17 3.2k 0.8× 2.0k 0.7× 536 0.8× 602 1.4× 116 0.4× 36 3.5k
Gabriele De Chiara United Kingdom 34 3.4k 0.9× 2.0k 0.7× 486 0.7× 1.5k 3.5× 149 0.5× 106 3.9k
Jiannis K. Pachos United Kingdom 27 2.6k 0.7× 1.3k 0.5× 573 0.8× 254 0.6× 83 0.3× 112 2.9k
T. A. B. Kennedy United States 27 3.4k 0.9× 1.5k 0.5× 1.0k 1.5× 357 0.8× 427 1.5× 74 4.0k
Brian DeMarco United States 29 4.4k 1.2× 1.6k 0.6× 712 1.0× 337 0.8× 128 0.4× 52 4.6k

Countries citing papers authored by G. Falci

Since Specialization
Citations

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

Fields of papers citing papers by G. Falci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Falci

This figure shows the co-authorship network connecting the top 25 collaborators of G. Falci. A scholar is included among the top collaborators of G. Falci 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 G. Falci. G. Falci 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.
Piccitto, G., et al.. (2026). Dissipation and non-thermal states in cryogenic cavities. Quantum. 10. 1983–1983.
2.
D’Arrigo, A., G. Piccitto, G. Falci, & Elisabetta Paladino. (2024). Open-loop quantum control of small-size networks for high-order cumulants and cross-correlations sensing. Scientific Reports. 14(1). 16681–16681. 1 indexed citations
3.
Grimaudo, Roberto, G. Falci, A. Messina, et al.. (2024). Thermodynamic limit in the two-qubit quantum Rabi model with spin-spin coupling. Physical Review Research. 6(4). 5 indexed citations
4.
Paternostro, Mauro, et al.. (2024). Noise classification in three-level quantum networks by Machine Learning. Machine Learning Science and Technology. 5(4). 45049–45049.
5.
Giannelli, Luigi, Elisabetta Paladino, M. Grajcar, G. S. Paraoanu, & G. Falci. (2024). Detecting virtual photons in ultrastrongly coupled superconducting quantum circuits. Physical Review Research. 6(1). 11 indexed citations
6.
Garziano, Luigi, A. Ridolfo, Adam Miranowicz, et al.. (2020). Atoms in separated resonators can jointly absorb a single photon. Scientific Reports. 10(1). 21660–21660. 7 indexed citations
7.
Baroli, Davide, et al.. (2019). Coupled molecular-dynamics and finite-element-method simulations for the kinetics of particles subjected to field-mediated forces. Physical review. E. 99(6). 63307–63307. 1 indexed citations
8.
D’Arrigo, A., G. Falci, & Elisabetta Paladino. (2014). Dynamical decoupling of random telegraph noise in a two-qubit gate. International Journal of Quantum Information. 12(2). 1461008–1461008. 2 indexed citations
9.
D’Arrigo, A., Giuliano Benenti, Rosario Lo Franco, G. Falci, & Elisabetta Paladino. (2014). Hidden entanglement, system-environment information flow and non-Markovianity. International Journal of Quantum Information. 12(2). 1461005–1461005. 38 indexed citations
10.
Falci, G., Marco Berritta, Alessandra Russo, A. D’Arrigo, & Elisabetta Paladino. (2012). Effects of low-frequency noise in driven coherent nanodevices. Physica Scripta. T151. 14020–14020. 5 indexed citations
11.
D’Arrigo, A., Giuliano Benenti, & G. Falci. (2008). Memory effects in quantum information transmission across a Hamiltonian dephasing channel. The European Physical Journal Special Topics. 160(1). 83–94. 2 indexed citations
12.
Paternostro, Mauro, G. Falci, Myungshik Kim, & G. Massimo Palma. (2004). Entanglement between two superconducting qubits via interaction with nonclassical radiation. Physical Review B. 69(21). 67 indexed citations
13.
Falci, G., A. D’Arrigo, A. Mastellone, & Elisabetta Paladino. (2004). Dynamical suppression of telegraph and1fnoise due to quantum bistable fluctuators. Physical Review A. 70(4). 65 indexed citations
14.
Paladino, Elisabetta, Maura Sassetti, & G. Falci. (2003). Modulation of dephasing due to a spin-boson environment. Chemical Physics. 296(2-3). 325–332. 9 indexed citations
15.
Paladino, Elisabetta, Fabio Taddei, G. Giaquinta, & G. Falci. (2003). Josephson nanocircuit in the presence of linear quantum noise. Physica E Low-dimensional Systems and Nanostructures. 18(1-3). 39–40. 10 indexed citations
16.
Osterloh, Andreas, Luigi Amico, G. Falci, & Rosario Fazio. (2002). Scaling of entanglement close to a quantum phase transition. Nature. 416(6881). 608–610. 1403 indexed citations breakdown →
17.
Paladino, Elisabetta, Lara Faoro, G. Falci, & Rosario Fazio. (2002). Decoherence and1/fNoise in Josephson Qubits. Physical Review Letters. 88(22). 228304–228304. 253 indexed citations
18.
Falci, G., D. Feinberg, & F. W. J. Hekking. (2001). Correlated tunneling into a superconductor in a multiprobe hybrid structure. Europhysics Letters (EPL). 54(2). 255–261. 175 indexed citations
19.
Amico, Luigi, G. Falci, & Rosario Fazio. (2000). The BCS model and the off shell Bethe ansatz for vertex models. 19 indexed citations
20.
Fazio, Rosario, G. Falci, & G. Giaquinta. (1989). Dissipation and the Kosterlitz-Thouless-Berezinskii transition in granular superconductors. Solid State Communications. 71(4). 275–279. 6 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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