Diego Mandelli

852 citations
44 papers · 408 indexed · h-index 12

Impact in

Papers in

Diego Mandelli

43 papers receiving 391 citations

Peers

Diego Mandelli
Comparison fields: 5 of 58
  • Statistics, Probability and Uncertainty 265
  • Software 75
  • Safety, Risk, Reliability and Quality 78
  • Radiological and Ultrasound Technology 39
  • Aerospace Engineering 160
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Citations per field
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Citations per year

Countries citing papers authored by Diego Mandelli

Since Specialization
Citations

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

Fields of papers citing papers by Diego Mandelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201351
2 201046
3 202025
4 201524
5 200921
6 201918
7 202016
8 201515
9 201514
10 201713
11 201912
12 202011
13 201811
14 201511
15 202110
16
Dynamic PRA: an Overview of New Algorithms to Generate, Analyze and Visualize Data
20139
17 20239
18
RAVEN, a New Software for Dynamic Risk Analysis
20148
19
Exploration of High-Dimensional Scalar Function for Nuclear Reactor Safety Analysis and Visualization
20138
20 20207

About Diego Mandelli

Diego Mandelli is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Software, having authored 44 papers that have together received 408 indexed citations. Recurring topics across this work include Risk and Safety Analysis (25 papers), Nuclear Engineering Thermal-Hydraulics (18 papers), Nuclear reactor physics and engineering (9 papers), Fault Detection and Control Systems (9 papers), Probabilistic and Robust Engineering Design (7 papers), Software Reliability and Analysis Research (5 papers), Nuclear Materials and Properties (4 papers) and Topological and Geometric Data Analysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (265 citations), Software (75 citations), Safety, Risk, Reliability and Quality (78 citations), Radiological and Ultrasound Technology (39 citations) and Aerospace Engineering (160 citations). Diego Mandelli has collaborated with scholars based in United States, Italy and Norway. Frequent co-authors include Andrea Alfonsi, Tunc Aldemir, Curtis Smith, Cristian Rabiti, Carlo Parisi, Alper Yılmaz, Joshua J. Cogliati, Richard Denning, Valerio Pascucci and Peer‐Timo Bremer. Their work appears in journals such as Nuclear Technology, Reliability Engineering & System Safety, Annals of Nuclear Energy, Energies and Nuclear Engineering and Design.

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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