E.G. Cazzoli

480 citations
13 papers · 270 · h-index 5

Impact in

Papers in

E.G. Cazzoli

13 papers receiving 258 citations

Peers

E.G. Cazzoli
Comparison fields: 5 of 38
  • Nuclear and High Energy Physics 173
  • Statistics, Probability and Uncertainty 48
  • Safety, Risk, Reliability and Quality 34
  • Aerospace Engineering 49
  • Global and Planetary Change 18
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Citations per year

Countries citing papers authored by E.G. Cazzoli

Since Specialization
Citations

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

Fields of papers citing papers by E.G. Cazzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1975148
2 197433
3 198932
4 200632
5 19905
6 19894
7 19894
8 19863
9
Single-phase sodium pump model for LMFBR thermal-hydraulic analysis
19793
10 19962
11
Accident Diagnostic, Analysis and Management (ADAM) System. Applications to Severe Accident Management
20012
12
TWIST: a transient two-dimensional intra-subassembly thermal hydraulics model for LMFBRs
19841
13
Quantification and uncertainty analysis of source terms for severe accidents in light water reactors (QUASAR): Part 2, Sensitivity analysis techniques
19871

About E.G. Cazzoli

E.G. Cazzoli is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering and Nuclear and High Energy Physics, having authored 13 papers that have together received 270 indexed citations. Recurring topics across this work include Risk and Safety Analysis (8 papers), Nuclear and radioactivity studies (3 papers), Nuclear Engineering Thermal-Hydraulics (3 papers), Nuclear Materials and Properties (2 papers), Probabilistic and Robust Engineering Design (2 papers), Nuclear reactor physics and engineering (2 papers), Fire Detection and Safety Systems (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (173 citations), Statistics, Probability and Uncertainty (48 citations), Safety, Risk, Reliability and Quality (34 citations), Aerospace Engineering (49 citations) and Global and Planetary Change (18 citations). E.G. Cazzoli has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include R.B. Palmer, P. L. Connolly, R. I. Louttit, M. J. Murtagh, N. P. Samios, T. Tso, H. H. Williams, A.M. Cnops, T. Haste and J. Birchley. Their work appears in journals such as Nuclear Engineering and Design, Nuclear Science and Engineering, Nuclear Technology, Reliability Engineering & System Safety and Physical Review Letters.

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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