L. Testa

534 citations
24 papers · 424 · h-index 12

Impact in

Papers in

L. Testa

23 papers receiving 417 citations

Peers

L. Testa
Comparison fields: 5 of 49
  • Materials Chemistry 297
  • Statistical and Nonlinear Physics 74
  • Polymers and Plastics 63
  • Statistics, Probability and Uncertainty 27
  • Biomedical Engineering 165
Replace Knud Zabrocki with:
Knud Zabrocki Germany
Dong Pu China
Guorong Sui China
Pierre Galarneau Canada
S. Perisanu France
Keisuke Masuda Japan
Shailendra K. Varshney India
Yang Cheng China
L. Testa relative to Knud Zabrocki Germany Knud Zabrocki's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Testa

Since Specialization
Citations

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

Fields of papers citing papers by L. Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 201252
3 201048
4 201041
5 200821
6 200621
7 200816
8 200814
9 200913
10 200712
11 201012
12 200512
13 200911
14 200610
15 20078
16 20167
17 20117
18 20095
19 20055
20 20083

About L. Testa

L. Testa is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics and Computer Networks and Communications, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (20 papers), Power Transformer Diagnostics and Insulation (10 papers), Dielectric materials and actuators (10 papers), Electrostatic Discharge in Electronics (8 papers), Polymer Nanocomposites and Properties (6 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Electrical Fault Detection and Protection (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Materials Chemistry (297 citations), Statistical and Nonlinear Physics (74 citations), Polymers and Plastics (63 citations), Statistics, Probability and Uncertainty (27 citations) and Biomedical Engineering (165 citations). L. Testa has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Gian Carlo Montanari, Marco Trapanese, Rosario N. Mantegna, A. Cavallini, Bernardo Spagnolo, Davide Fabiani, Stefano Serra, Le Wang, F. Guastavino and A. Dardano. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, Journal of Applied Physics, Physica B Condensed Matter, IEEJ Transactions on Fundamentals and Materials and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

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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