E. Peluso

1.7k total citations
68 papers, 582 citations indexed

About

E. Peluso is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Radiation. According to data from OpenAlex, E. Peluso has authored 68 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 17 papers in Aerospace Engineering and 13 papers in Radiation. Recurrent topics in E. Peluso's work include Magnetic confinement fusion research (38 papers), Nuclear reactor physics and engineering (14 papers) and Fusion materials and technologies (12 papers). E. Peluso is often cited by papers focused on Magnetic confinement fusion research (38 papers), Nuclear reactor physics and engineering (14 papers) and Fusion materials and technologies (12 papers). E. Peluso collaborates with scholars based in Italy, Romania and United Kingdom. E. Peluso's co-authors include A. Murari, M. Gelfusa, P. Gaudio, M. Lungaroni, T. Craciunescu, J. Vega, I. Lupelli, Riccardo Rossi, P. Carvalho and M. Baruzzo and has published in prestigious journals such as Scientific Reports, Review of Scientific Instruments and Applied Sciences.

In The Last Decade

E. Peluso

61 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Peluso Italy	14	281	153	135	97	75	68	582
Cristina Rea United States	15	473 1.7×	147 1.0×	186 1.4×	137 1.4×	42 0.6×	39	657
Keith Erickson United States	13	325 1.2×	114 0.7×	154 1.1×	119 1.2×	33 0.4×	39	566
M. Lungaroni Italy	12	145 0.5×	120 0.8×	74 0.5×	41 0.4×	32 0.4×	42	371
M. Johnson United Kingdom	10	571 2.0×	103 0.7×	166 1.2×	207 2.1×	23 0.3×	18	706
P.C. de Vries Germany	15	676 2.4×	99 0.6×	169 1.3×	276 2.8×	25 0.3×	22	795
I. Lupelli United Kingdom	17	383 1.4×	42 0.3×	218 1.6×	282 2.9×	32 0.4×	61	647
Malachi Schram United States	9	162 0.6×	53 0.3×	73 0.5×	34 0.4×	79 1.1×	42	390
Allan Wollaber United States	11	70 0.2×	35 0.2×	129 1.0×	31 0.3×	25 0.3×	38	437
Earl Lawrence United States	17	179 0.6×	125 0.8×	47 0.3×	40 0.4×	8 0.1×	55	851
Zhongyu Ma China	27	1.6k 5.6×	49 0.3×	130 1.0×	19 0.2×	160 2.1×	132	1.9k

Countries citing papers authored by E. Peluso

Since Specialization

Citations

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

Fields of papers citing papers by E. Peluso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Peluso

This figure shows the co-authorship network connecting the top 25 collaborators of E. Peluso. A scholar is included among the top collaborators of E. Peluso 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 E. Peluso. E. Peluso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Peluso, E., Vincenzo D’Agostino, Luca Senni, et al.. (2025). Mechanical design of the bolometric and Soft-X ray diagnostics for DTT. Journal of Instrumentation. 20(4). C04009–C04009. 1 indexed citations

D’Agostino, Vincenzo, L. Gabellieri, M. Marinelli, et al.. (2025). The conceptual design of the soft x-ray tomography for the DTT. Fusion Engineering and Design. 219. 115269–115269.

Peluso, E., G. Apruzzese, Luca Senni, et al.. (2025). Initial design of a real-time and an intershot bolometric data exploitation strategy for DTT. Journal of Instrumentation. 20(5). C05001–C05001. 1 indexed citations

Murari, A., et al.. (2024). On the accuracy of a fast time resolution inversion method for the detection of different radiation patterns in fusion reactors. Fusion Engineering and Design. 205. 114527–114527. 1 indexed citations

Murari, A., et al.. (2023). Comparison of a fast low spatial resolution inversion method and peaking factors for the detection of anomalous radiation patterns and disruption prediction. Fusion Engineering and Design. 193. 113625–113625. 6 indexed citations

Peluso, E., A. Murari, T. Craciunescu, et al.. (2023). Correction of JET bolometric maximum likelihood tomography for local gas puffing. Plasma Physics and Controlled Fusion. 65(7). 75003–75003. 3 indexed citations

Craciunescu, T., E. Peluso, A. Murari, et al.. (2023). Maximum likelihood bolometry for ASDEX upgrade experiments. Physica Scripta. 98(12). 125603–125603. 6 indexed citations

Rossi, Riccardo, F. Bombarda, P. Gaudio, et al.. (2022). An Unsupervised Spectrogram Cross-Correlation Method to Assess ELM Triggering Efficiency by Pellets. Applied Sciences. 12(7). 3681–3681. 2 indexed citations

Murari, A., E. Peluso, T. Craciunescu, et al.. (2021). Frontiers in data analysis methods: from causality detection to data driven experimental design. Plasma Physics and Controlled Fusion. 64(2). 24002–24002. 1 indexed citations

10.

Murari, A., M. Gelfusa, M. Lungaroni, P. Gaudio, & E. Peluso. (2021). A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems. Artificial Intelligence Review. 55(1). 255–289. 5 indexed citations

11.

Murari, A., Riccardo Rossi, E. Peluso, et al.. (2020). On the transfer of adaptive predictors between different devices for both mitigation and prevention of disruptions. Nuclear Fusion. 60(5). 56003–56003. 30 indexed citations

12.

Peluso, E., et al.. (2020). Alternative Detection of n = 1 Modes Slowing Down on ASDEX Upgrade. Applied Sciences. 10(21). 7891–7891. 4 indexed citations

13.

Murari, A., et al.. (2020). Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools. Applied Sciences. 10(19). 6683–6683. 12 indexed citations

14.

Murari, A., E. Peluso, M. Lungaroni, et al.. (2020). Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion. Scientific Reports. 10(1). 19858–19858. 11 indexed citations

15.

Murari, A., et al.. (2019). Adaptive learning for disruption prediction in non-stationary conditions. Nuclear Fusion. 59(8). 86037–86037. 28 indexed citations

16.

Murari, A., M. Lungaroni, E. Peluso, T. Craciunescu, & M. Gelfusa. (2019). A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design. Scientific Reports. 9(1). 17880–17880. 8 indexed citations

17.

Lungaroni, M., A. Murari, E. Peluso, P. Gaudio, & M. Gelfusa. (2019). Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems. Complexity. 2019(1). 2 indexed citations

18.

Murari, A., E. Peluso, Francesco Cianfrani, P. Gaudio, & M. Lungaroni. (2019). On the Use of Entropy to Improve Model Selection Criteria. Entropy. 21(4). 394–394. 18 indexed citations

19.

Murari, A., M. Lungaroni, E. Peluso, et al.. (2018). On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals. Entropy. 20(9). 627–627. 14 indexed citations

20.

Murari, A., M. Gelfusa, E. Peluso, et al.. (2014). Improved equilibrium reconstructions by advanced statistical weighting of the internal magnetic measurements. Review of Scientific Instruments. 85(12). 123507–123507. 2 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.

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