N. Impollonia

1.2k citations
36 papers · 969 indexed · h-index 17

N. Impollonia

35 papers receiving 924 citations

Peers

N. Impollonia
Comparison fields: 5 of 61
  • Statistics, Probability and Uncertainty 441
  • Civil and Structural Engineering 753
  • Mechanics of Materials 194
  • Control and Systems Engineering 155
  • Computational Theory and Mathematics 72
Replace Sheng-En Fang with:
Sheng-En Fang China
Sawekchai Tangaramvong Australia
Sergio Ricci Italy
Dimos C. Charmpis Cyprus
Hyuk-Chun Noh South Korea
Ulrich Bourgund Liechtenstein
Rita Greco Italy
S. Caddemi Italy
Mark W. Hilburger United States
Senthil Murugan India
N. Impollonia relative to Sheng-En Fang China Sheng-En Fang's profile →
Citations per field
00.5×1.5×1.9×
Sheng-En Fang · 1×
Citations per year

Countries citing papers authored by N. Impollonia

Since Specialization
Citations

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

Fields of papers citing papers by N. Impollonia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20191
3 2017158
4 20163
5 20151
6 201466
7 201140
8 201113
9 20116
10 201110
11
Space engineering - Buckling of structuresECSS-E-HB-32-24A
20101
12 2010112
13 200631
14
Crack identification in a beam by measure of the response to white noise
20051
15 200521
16 20055
17 200427
18 200335
19 200012
20 19982

About N. Impollonia

N. Impollonia is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials, having authored 36 papers that have together received 969 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (19 papers), Probabilistic and Robust Engineering Design (18 papers), Structural Engineering and Vibration Analysis (8 papers), Seismic Performance and Analysis (6 papers), Vibration and Dynamic Analysis (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Fluid Dynamics and Vibration Analysis (5 papers) and Topology Optimization in Engineering (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (441 citations), Civil and Structural Engineering (753 citations) and Mechanics of Materials (194 citations). N. Impollonia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Ricciardi, Giuseppe Muscolino, G. Falsone, Dario De Domenico, Isaac Elishakoff, Fernando Saitta, Leopoldo Greco, M. Cuomo, Alba Sofi and Alessandro Palmeri.

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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