M. Nervi

40 papers receiving 345 citations

Peers

M. Nervi
Comparison fields: 5 of 59
  • Computational Theory and Mathematics 86
  • Electrical and Electronic Engineering 187
  • Computational Mechanics 59
  • Control and Systems Engineering 55
  • Civil and Structural Engineering 46
Replace G. Molinari with:
G. Molinari Italy
N. Salerno Italy
K.R. Shao China
D.N. Dyck Canada
P.A. Grobelny Canada
Il Han Park South Korea
J.M. Machado Brazil
Zhonghai Ding United States
Ryuji Shioya Japan
Antti Hannukainen Finland
M. Nervi relative to G. Molinari Italy G. Molinari's profile →
Citations per field
00.5×
G. Molinari · 1×
Citations per year

Countries citing papers authored by M. Nervi

Since Specialization
Citations

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

Fields of papers citing papers by M. Nervi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199895
2 199247
3 199727
4 200122
5 201821
6 199613
7 199213
8 199813
9 201212
10 199610
11 199810
12
A "Design of Experiment" Approach to Enhance the "Generalized Response Surface" Method in the Optimization of Multiminima Problems
19979
13 19938
14 19986
15 19946
16 20166
17 19975
18 20014
19 20034
20 20164

About M. Nervi

M. Nervi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computational Theory and Mathematics, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 42 papers that have together received 374 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Thermal Analysis in Power Transmission (6 papers), High voltage insulation and dielectric phenomena (6 papers), Electromagnetic Scattering and Analysis (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Lightning and Electromagnetic Phenomena (4 papers). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Electrical and Electronic Engineering (187 citations), Computational Mechanics (59 citations), Control and Systems Engineering (55 citations) and Civil and Structural Engineering (46 citations). M. Nervi has collaborated with scholars based in Italy, Austria and Netherlands. Frequent co-authors include Piergiorgio Alotto, Maurizio Repetto, G. Molinari, P. Molfino, P. Girdinio, K.R. Richter, Bernhard Brandstätter, Christian Magele, Kurt Preis and G Secondo. Their work appears in journals such as IEEE Transactions on Magnetics, Energies, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Delivery and IEEE Transactions on Applied Superconductivity.

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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