M. C. Marchetti

512 citations
28 papers · 373 indexed · h-index 12

Impact in

Papers in

M. C. Marchetti

27 papers receiving 366 citations

Peers

M. C. Marchetti
Comparison fields: 5 of 55
  • Condensed Matter Physics 190
  • Atomic and Molecular Physics, and Optics 136
  • Cell Biology 60
  • Statistical and Nonlinear Physics 41
  • Biomedical Engineering 94
Replace Dmitry Karpeev with:
Dmitry Karpeev United States
Paolo Biscari Italy
J. C. Fenton United Kingdom
Elisabeth Agoritsas Switzerland
Maxim Paliy Canada
Simon Praetorius Germany
C. Patrick Royall United Kingdom
Kabir Ramola India
Ephraim Bililign United States
M. Neuhaus Germany
M. C. Marchetti relative to Dmitry Karpeev United States Dmitry Karpeev's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. C. Marchetti

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Marchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Marchetti. 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 M. C. Marchetti. The network helps show where M. C. Marchetti may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M. C. Marchetti, 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 M. C. Marchetti Line = papers co-authored together M. C. Marchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20231
4 20169
5 201418
6 20143
7 20143
8 20142
9 201316
10 20138
11 201229
12 200924
13
Development of 3D Advanced Rapid Prototyping Multipurpose Structures with Micro and Nano Materials
20061
14 200563
15 19901
16 19884
17 198733
18 198711
19 19876
20 198514

About M. C. Marchetti

M. C. Marchetti is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Nuclear and High Energy Physics, having authored 28 papers that have together received 373 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (12 papers), Superconducting Materials and Applications (8 papers), Quantum and electron transport phenomena (7 papers), Semiconductor Quantum Structures and Devices (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Micro and Nano Robotics (4 papers), Quantum, superfluid, helium dynamics (3 papers) and Frequency Control in Power Systems (2 papers). The work is most often cited by research in Condensed Matter Physics (190 citations), Atomic and Molecular Physics, and Optics (136 citations), Cell Biology (60 citations), Statistical and Nonlinear Physics (41 citations) and Biomedical Engineering (94 citations). M. C. Marchetti has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Wei Cai, Tanniemola B. Liverpool, M. Lax, Aparna Baskaran, T. R. Kirkpatrick, G. Celentano, Marco Leoni, L. Morici, Davide Marenduzzo and Matteo Paoluzzi. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Physical review. B, Condensed matter, Journal of Statistical Physics, Europhysics Letters (EPL) and Physical review. E.

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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