Francesco Massa

618 total citations
9 papers, 407 citations indexed

About

Francesco Massa is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Massa has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Massa's work include Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Neural Networks and Reservoir Computing (3 papers). Francesco Massa is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Neural Networks and Reservoir Computing (3 papers). Francesco Massa collaborates with scholars based in Austria, Italy and United States. Francesco Massa's co-authors include Lorenzo Marrucci, Filippo Cardano, C. de Lisio, Enrico Santamato, Philip Walther, Sergei Slussarenko, Robert W. Boyd, Hammam Qassim, Fabio Sciarrino and Ebrahim Karimi and has published in prestigious journals such as Nature Communications, Nature Photonics and Science Advances.

In The Last Decade

Francesco Massa

9 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Massa Austria	6	260	254	133	30	29	9	407
Maxence Ernoult France	6	198 0.8×	201 0.8×	348 2.6×	10 0.3×	30 1.0×	6	457
Damir Vodenicarevic France	7	212 0.8×	230 0.9×	379 2.8×	10 0.3×	37 1.3×	10	513
Philippe Talatchian France	8	216 0.8×	236 0.9×	375 2.8×	13 0.4×	35 1.2×	12	491
Francesco Ceccarelli Italy	13	204 0.8×	114 0.4×	214 1.6×	8 0.3×	45 1.6×	43	444
Andrzej Opala Poland	12	284 1.1×	269 1.1×	213 1.6×	3 0.1×	60 2.1×	23	474
Ruo-Jing Ren China	10	233 0.9×	274 1.1×	103 0.8×	13 0.4×	36 1.2×	21	420
Lu‐Feng Qiao China	12	296 1.1×	421 1.7×	140 1.1×	13 0.4×	54 1.9×	20	558
Limeng Zhang China	11	55 0.2×	126 0.5×	264 2.0×	6 0.2×	18 0.6×	30	350
Jiŕí Svozilík Czechia	14	300 1.2×	350 1.4×	88 0.7×	7 0.2×	58 2.0×	30	425
Philip J. Bustard Canada	15	354 1.4×	502 2.0×	160 1.2×	15 0.5×	15 0.5×	35	580

Countries citing papers authored by Francesco Massa

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Massa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Massa

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

All Works

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9 of 9 papers shown

1.

Kim, Hyo-Yeon, Won Sik Shin, Kangho Park, et al.. (2024). Improvement of mask pattern placement error using novel resist charging control methodology in multi-beam mask writer. 11–11. 1 indexed citations

2.

Spagnolo, Michele, Simone Piacentini, Francesco Massa, et al.. (2022). Experimental photonic quantum memristor. Nature Photonics. 16(4). 318–323. 102 indexed citations

3.

Rubino, Giulia, Lee A. Rozema, Francesco Massa, et al.. (2022). Experimental entanglement of temporal order. Quantum. 6. 621–621. 24 indexed citations

4.

Massa, Francesco, Amir Moqanaki, Walter O. Krawec, et al.. (2022). Experimental Semi-quantum Key Distribution With Classical Users. Quantum. 6. 819–819. 8 indexed citations

5.

Massa, Francesco, Amir Moqanaki, Flavio Del Santo, Borivoje Dakić, & Philip Walther. (2018). Experimental two-way communication with one photon. 120. F1D.4–F1D.4. 5 indexed citations

6.

Massa, Francesco, et al.. (2017). Gravitationally induced phase shift on a single photon. New Journal of Physics. 19(3). 33028–33028. 16 indexed citations

7.

Cardano, Filippo, Maria Maffei, Francesco Massa, et al.. (2016). Statistical moments of quantum-walk dynamics reveal topological quantum transitions. Nature Communications. 7(1). 11439–11439. 111 indexed citations

8.

Cardano, Filippo, Francesco Massa, Hammam Qassim, et al.. (2015). Quantum walks and wavepacket dynamics on a lattice with twisted photons. Science Advances. 1(2). e1500087–e1500087. 138 indexed citations

9.

Cardano, Filippo, Francesco Massa, Hammam Qassim, et al.. (2014). Quantum walks and quantum simulation of wavepacket dynamics with twisted photons. arXiv (Cornell University). 2 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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