Massimo Mongillo

727 citations
21 papers · 449 · h-index 11

Impact in

Papers in

Massimo Mongillo

19 papers receiving 448 citations

Peers

Massimo Mongillo
Comparison fields: 5 of 35
  • Atomic and Molecular Physics, and Optics 264
  • Condensed Matter Physics 74
  • Electrical and Electronic Engineering 270
  • Biomedical Engineering 125
  • Artificial Intelligence 81
Replace Hamid Mazraati with:
Hamid Mazraati Sweden
R. Knobel United States
Pouya Hashemi United States
S. W. Hwang South Korea
Vasyl Tyberkevych United States
Junta Igarashi Japan
P.‐F. Braun France
Artem Litvinenko Japan
Christophe Charpentier Switzerland
Massimo Mongillo relative to Hamid Mazraati Sweden Hamid Mazraati's profile →
Citations per field
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Hamid Mazraati · 1×
Citations per year

Countries citing papers authored by Massimo Mongillo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Mongillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Mongillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Mongillo Line = papers co-authored together Massimo Mongillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 201290
3 202428
4 202325
5 201624
6 202224
7 201423
8 202321
9 202116
10 202415
11 201611
12 202110
13 20208
14 20228
15 20236
16 20176
17 20165
18 20232
19 20212
20 20250

About Massimo Mongillo

Massimo Mongillo is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics and Materials Chemistry, having authored 21 papers that have together received 449 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (12 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers), Quantum Computing Algorithms and Architecture (7 papers), Semiconductor materials and devices (7 papers), Quantum Information and Cryptography (4 papers), Physics of Superconductivity and Magnetism (3 papers), Semiconductor Quantum Structures and Devices (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (264 citations), Condensed Matter Physics (74 citations), Electrical and Electronic Engineering (270 citations), Biomedical Engineering (125 citations) and Artificial Intelligence (81 citations). Massimo Mongillo has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include S. De Franceschi, Panayotis Spathis, Georgios Katsaros, P. Gentile, M. Stoffel, F. Lefloch, Vincent Bouchiat, Frank Fournel, Armando Rastelli and Oliver G. Schmidt. Their work appears in journals such as Applied Physics Letters, npj Quantum Information, Quantum Science and Technology, Japanese Journal of Applied Physics and Physical Review Applied.

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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