Nicola Pedroni
- Statistics, Probability and Uncertainty top 0.2%
- Civil and Structural Engineering top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Enrico ZioYi‐Ping FangElisa FerrarioPiero BaraldiZhiyi WangIrmela ZentnerYan‐Fu LiG. Apostolakis
- Topics
- Probabilistic and Robust Engineering Design (31 papers)Nuclear Engineering Thermal-Hydraulics (25 papers)Nuclear reactor physics and engineering (22 papers)
- Cited by
- Statistics, Probability and UncertaintyCivil and Structural EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Power SystemsMechanical Systems and Signal ProcessingEngineering Structures
- Partner nations
- ItalyFranceSouth Korea
In The Last Decade
Nicola Pedroni
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Statistics, Probability and Uncertainty 748
- Civil and Structural Engineering 577
- Aerospace Engineering 369
- Control and Systems Engineering 267
- Safety, Risk, Reliability and Quality 234
Countries citing papers authored by Nicola Pedroni
This map shows the geographic impact of Nicola Pedroni'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 Nicola Pedroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Pedroni more than expected).
Fields of papers citing papers by Nicola Pedroni
This network shows the impact of papers produced by Nicola Pedroni. 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 Nicola Pedroni. The network helps show where Nicola Pedroni may publish in the future.
Co-authorship network of co-authors of Nicola Pedroni
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Pedroni. A scholar is included among the top collaborators of Nicola Pedroni 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 Nicola Pedroni. Nicola Pedroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 25 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 52 | |
| 16 | 19 | |
| 17 | 14 | |
| 18 | 74 | |
| 19 | 1 | |
| 20 | RECURRENT NEURAL NETWORKS FOR DYNAMIC RELIABILITY ANALYSIS | 1 |
About Nicola Pedroni
Nicola Pedroni is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering and Control and Systems Engineering, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (31 papers), Nuclear Engineering Thermal-Hydraulics (25 papers) and Nuclear reactor physics and engineering (22 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (748 citations), Civil and Structural Engineering (577 citations) and Safety, Risk, Reliability and Quality (234 citations). Nicola Pedroni has collaborated with scholars based in Italy, France and South Korea. Frequent co-authors include Enrico Zio, Yi‐Ping Fang, Elisa Ferrario, Piero Baraldi, Zhiyi Wang, Irmela Zentner, Yan‐Fu Li, G. Apostolakis, Francesco Di Maio and Francesco Cadini. Their work appears in journals such as IEEE Transactions on Power Systems, Mechanical Systems and Signal Processing and Engineering Structures.
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.