Diego Mandelli

852 total citations
44 papers, 408 citations indexed

About

Diego Mandelli is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Diego Mandelli has authored 44 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 21 papers in Aerospace Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Diego Mandelli's work include Risk and Safety Analysis (25 papers), Nuclear Engineering Thermal-Hydraulics (18 papers) and Fault Detection and Control Systems (9 papers). Diego Mandelli is often cited by papers focused on Risk and Safety Analysis (25 papers), Nuclear Engineering Thermal-Hydraulics (18 papers) and Fault Detection and Control Systems (9 papers). Diego Mandelli collaborates with scholars based in United States, Italy and Norway. Diego Mandelli's co-authors include Andrea Alfonsi, Tunc Aldemir, Curtis Smith, Cristian Rabiti, Carlo Parisi, Alper Yılmaz, Richard Denning, Joshua J. Cogliati, Valerio Pascucci and Eylem Ekici and has published in prestigious journals such as Reliability Engineering & System Safety, Energies and International Journal of Energy Research.

In The Last Decade

Diego Mandelli

43 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Mandelli United States 12 265 160 78 75 68 44 408
Loïc Brevault France 12 242 0.9× 91 0.6× 61 0.8× 6 0.1× 41 0.6× 32 468
Chun-li Xie China 10 58 0.2× 123 0.8× 36 0.5× 6 0.1× 131 1.9× 27 353
Meng-kun Li China 10 39 0.1× 112 0.7× 39 0.5× 6 0.1× 69 1.0× 21 303
Xiaohu Zheng China 10 94 0.4× 50 0.3× 31 0.4× 20 0.3× 30 0.4× 28 244
Takuto Ishimatsu United States 9 81 0.3× 72 0.5× 55 0.7× 24 0.3× 48 0.7× 21 295
Sean P. Kenny United States 12 417 1.6× 80 0.5× 54 0.7× 6 0.1× 153 2.3× 50 560
Haodong Zhao China 9 128 0.5× 15 0.1× 32 0.4× 6 0.1× 48 0.7× 36 295
Jianfeng Yang China 8 24 0.1× 9 0.1× 109 1.4× 111 1.5× 23 0.3× 54 295
F. Postiglione Italy 11 35 0.1× 12 0.1× 86 1.1× 22 0.3× 53 0.8× 48 400
William M. Goble United States 9 168 0.6× 7 0.0× 147 1.9× 93 1.2× 47 0.7× 41 277

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-authorship network of co-authors of Diego Mandelli

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Mandelli. A scholar is included among the top collaborators of Diego Mandelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Mandelli. Diego Mandelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Congjian, Diego Mandelli, & Joshua J. Cogliati. (2024). Technical Language Processing of Nuclear Power Plants Equipment Reliability Data. Energies. 17(7). 1785–1785.
2.
Mandelli, Diego, et al.. (2023). Reliability modeling in a predictive maintenance context: A margin-based approach. Reliability Engineering & System Safety. 243. 109861–109861. 9 indexed citations
3.
Mandelli, Diego, et al.. (2023). On the Language of Reliability: A System Engineer Perspective. Nuclear Technology. 209(11). 1637–1652. 1 indexed citations
4.
Alfonsi, Andrea, et al.. (2023). Dynamic event tree analysis of a severe accident sequence in a boiling water reactor experiencing a cyberattack scenario. Annals of Nuclear Energy. 192. 109994–109994. 5 indexed citations
5.
Alfonsi, Andrea, Diego Mandelli, Carlo Parisi, & Cristian Rabiti. (2021). Risk analysis virtual ENvironment for dynamic event tree-based analyses. Annals of Nuclear Energy. 165. 108754–108754. 10 indexed citations
6.
Mandelli, Diego. (2020). Integration of Data Analytics with Plant System Health Program. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
7.
Mandelli, Diego, et al.. (2020). Dynamic PRA Methods to Evaluate the Impact on Accident Progression of Accident Tolerant Fuels. Nuclear Technology. 207(3). 389–405. 7 indexed citations
8.
Talbot, Paul, Cristian Rabiti, Andrea Alfonsi, et al.. (2019). Correlated Synthetic Time Series Generation Using Fourier and ARMA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 120(1). 465–468. 3 indexed citations
9.
Mandelli, Diego, et al.. (2019). Measuring risk-importance in a Dynamic PRA framework. Annals of Nuclear Energy. 128. 160–170. 12 indexed citations
10.
Aldemir, Tunc, et al.. (2017). Coupling of RAVEN and MAAP5 for the dynamic event tree analysis of nuclear power plants. 52. 407–407. 13 indexed citations
11.
Mandelli, Diego, et al.. (2015). Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study. Reliability Engineering & System Safety. 145. 262–276. 24 indexed citations
12.
Alfonsi, Andrea, et al.. (2014). Adaptive Dynamic Event Tree in RAVEN code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Smith, Curtis, et al.. (2014). Comparison of a Traditional Probabilistic Risk Assessment Approach with Advanced Safety Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
14.
Mandelli, Diego, et al.. (2014). Methodology for the Incorporation of Passive Component Aging Modeling into the RAVEN/ RELAP-7 Environment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
15.
Mandelli, Diego, Curtis Smith, Cristian Rabiti, et al.. (2013). Dynamic PRA: an Overview of New Algorithms to Generate, Analyze and Visualize Data. IRIS Research product catalog (Sapienza University of Rome). 9 indexed citations
16.
Mandelli, Diego, et al.. (2013). Analyzing Dynamic Probabilistic Risk Assessment Data through Topology-Based Clustering. University of North Texas Digital Library (University of North Texas). 1839–1854. 5 indexed citations
17.
Rabiti, Cristian, Andrea Alfonsi, Diego Mandelli, Joshua J. Cogliati, & Richard Martineau. (2012). RAVEN as Control Logic and Probabilistic Risk Assessment Driver for RELAP-7. University of North Texas Digital Library (University of North Texas). 4 indexed citations
18.
Aldemir, Tunc, Sergio Guarro, Diego Mandelli, et al.. (2010). Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies. Reliability Engineering & System Safety. 95(10). 1011–1039. 46 indexed citations
19.
Bucci, Paolo, et al.. (2009). A Benchmark System for Comparing Reliability Modeling Approaches for Digital Instrumentation and Control Systems. Nuclear Technology. 165(1). 53–95. 21 indexed citations
20.
Maio, Francesco Di, et al.. (2009). Identification of Faults in a Level Control Dynamic System. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–12. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026