G. Perego

1.9k citations
34 papers · 1.5k indexed · h-index 17

G. Perego

33 papers receiving 1.4k citations

Peers

G. Perego
Comparison fields: 5 of 77
  • Biomaterials 705
  • Process Chemistry and Technology 138
  • Cellular and Molecular Neuroscience 379
  • Polymers and Plastics 264
  • Developmental Neuroscience 69
Replace C. P. Pathak with:
C. P. Pathak United States
Joost P. Bruggeman Netherlands
Wenjin Cui China
Ian A. Barker United Kingdom
Junjie Jiang China
Jiřı́ Michálek Czechia
Changchun Zeng United States
Maya Kaduri Israel
A. Lee Miller United States
Hongyun Tai United Kingdom
G. Perego relative to C. P. Pathak United States C. P. Pathak's profile →
Citations per field
00.5×5.4×
C. P. Pathak · 1×
Citations per year

Countries citing papers authored by G. Perego

Since Specialization
Citations

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

Fields of papers citing papers by G. Perego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20160
3 201021
4
Strategy and tools for the assessment op polymeric materials for HVDC cable systems
20062
5 200512
6 20037
7 200319
8 200211
9 20029
10 2001171
11 1996467
12 199692
13 199461
14 19927
15 199211
16 197020
17 196327
18 196316
19 196337
20 196133

About G. Perego

G. Perego is a scholar working on Biomaterials, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (16 papers), Electrostatic Discharge in Electronics (6 papers), Power Transformer Diagnostics and Insulation (6 papers), Nerve injury and regeneration (5 papers), Dielectric materials and actuators (5 papers), biodegradable polymer synthesis and properties (5 papers), Thermal Analysis in Power Transmission (4 papers) and Nerve Injury and Rehabilitation (4 papers). The work is most often cited by research in Biomaterials (705 citations), Process Chemistry and Technology (138 citations) and Cellular and Molecular Neuroscience (379 citations). G. Perego has collaborated with scholars based in Italy, Netherlands and Finland. Frequent co-authors include Catia Bastioli, Xavier Navarro, Francisco Javier Rodríguez, Gian Carlo Montanari, Giuseppe Allegra, Núria Giménez, F. Palmieri, Giovanni Mazzanti, Stefano Serra and A. Motori. Their work appears in journals such as Biomaterials, Journal of Applied Polymer Science, Journal of the American Chemical Society, Journal of Biomaterials Science Polymer Edition and IEEE Access.

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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