M. Cacciari

697 citations
22 papers · 597 · h-index 16

Impact in

Papers in

M. Cacciari

21 papers receiving 566 citations

Peers

M. Cacciari
Comparison fields: 5 of 43
  • Statistics, Probability and Uncertainty 99
  • Statistics and Probability 102
  • Safety, Risk, Reliability and Quality 96
  • Materials Chemistry 339
  • Electrical and Electronic Engineering 368
Replace Xuerong Ye with:
Xuerong Ye China
R. Eriksson Sweden
Edward B. Hakim United States
Sai Zhang United States
Nishad Patil United States
Ruitao Wang China
Juan C. Olivares-Galván Mexico
D. Koval Canada
José Antônio Jardini Brazil
Mark Halpin United States
M. Cacciari relative to Xuerong Ye China Xuerong Ye's profile →
Citations per field
00.5×10×16.1×
Xuerong Ye · 1×
Citations per year

Countries citing papers authored by M. Cacciari

Since Specialization
Citations

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

Fields of papers citing papers by M. Cacciari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Cacciari, 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. Cacciari Line = papers co-authored together M. Cacciari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199575
2 198871
3 201155
4 198952
5 199743
6 198541
7 198737
8 199231
9 199529
10 199224
11 199121
12 199121
13 199719
14 199018
15 199218
16 199815
17 200213
18 199511
19 20031
20
Mixed Weibull Distributions For Partial Discharge Analysis
19941

About M. Cacciari

M. Cacciari is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Statistics and Probability, Materials Chemistry and Electrical and Electronic Engineering, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (10 papers), Statistical Distribution Estimation and Applications (8 papers), High voltage insulation and dielectric phenomena (8 papers), Concrete Corrosion and Durability (5 papers), Non-Destructive Testing Techniques (4 papers), Reliability and Maintenance Optimization (3 papers), Power System Reliability and Maintenance (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (99 citations), Statistics and Probability (102 citations), Safety, Risk, Reliability and Quality (96 citations), Materials Chemistry (339 citations) and Electrical and Electronic Engineering (368 citations). M. Cacciari has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Gian Carlo Montanari, G.C. Montanari, A. Contin, Giovanni Mazzanti, J.C. Fothergill, Andrea Cavallini, Alessandro Bartolini, Luca Benini, Andrea Tilli and A. Motori. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Transactions on Power Delivery, Journal of Physics D Applied Physics, IEEE Transactions on Reliability 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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