Maria Longobardi

2.1k total citations
60 papers, 1.5k citations indexed

About

Maria Longobardi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Maria Longobardi has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 18 papers in Statistics, Probability and Uncertainty and 11 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Maria Longobardi's work include Statistical Distribution Estimation and Applications (26 papers), Probabilistic and Robust Engineering Design (15 papers) and Reliability and Maintenance Optimization (11 papers). Maria Longobardi is often cited by papers focused on Statistical Distribution Estimation and Applications (26 papers), Probabilistic and Robust Engineering Design (15 papers) and Reliability and Maintenance Optimization (11 papers). Maria Longobardi collaborates with scholars based in Italy, Iran and Switzerland. Maria Longobardi's co-authors include Antonio Di Crescenzo, Ch. Renner, Jafar Ahmadi, Ignacio Gutiérrez Lezama, Alberto F. Morpurgo, Alexey B. Kuzmenko, E. Giannini, Alberto Ubaldini, F. Bobba and A. M. Cucolo and has published in prestigious journals such as Physical Review Letters, ACS Nano and Journal of Applied Physics.

In The Last Decade

Maria Longobardi

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Longobardi Italy 20 647 379 302 301 196 60 1.5k
Haim Shore Israel 21 288 0.4× 318 0.8× 158 0.5× 292 1.0× 178 0.9× 90 1.7k
S. K. Srinivasan India 14 85 0.1× 66 0.2× 131 0.4× 124 0.4× 132 0.7× 118 870
W. A. Thompson United States 18 320 0.5× 114 0.3× 157 0.5× 9 0.0× 218 1.1× 56 1.4k
Yuji Nakagawa Japan 14 91 0.1× 247 0.7× 641 2.1× 9 0.0× 259 1.3× 67 1.6k
H. Masuda Japan 30 317 0.5× 57 0.2× 87 0.3× 44 0.1× 2.5k 12.7× 223 3.3k
R. C. Desai India 9 36 0.1× 49 0.1× 172 0.6× 46 0.2× 638 3.3× 32 1.5k
Christine H. Müller Germany 20 342 0.5× 225 0.6× 80 0.3× 4 0.0× 60 0.3× 103 1.2k
Tengyao Wang United Kingdom 19 217 0.3× 46 0.1× 286 0.9× 63 0.2× 283 1.4× 55 1.3k
K. J. Zhu China 18 10 0.0× 98 0.3× 160 0.5× 337 1.1× 233 1.2× 119 1.4k
Vladimir V. Ulyanov Russia 12 266 0.4× 12 0.0× 108 0.4× 87 0.3× 102 0.5× 122 834

Countries citing papers authored by Maria Longobardi

Since Specialization
Citations

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

Fields of papers citing papers by Maria Longobardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Longobardi

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Longobardi. A scholar is included among the top collaborators of Maria Longobardi 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 Maria Longobardi. Maria Longobardi 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.
Archana, K., et al.. (2025). Estimation of past extropy in the presence of measurement error. Ricerche di Matematica. 74(5). 2511–2526.
2.
Archana, K., et al.. (2024). Estimation of extropy function in the presence of measurement error. Metrika. 88(7). 955–979. 1 indexed citations
3.
Longobardi, Maria, et al.. (2024). Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling. Entropy. 26(2). 160–160. 1 indexed citations
4.
Mattera, Giulio, et al.. (2024). Improving the Interpretability of Data-Driven Models for Additive Manufacturing Processes Using Clusterwise Regression. Mathematics. 12(16). 2559–2559. 3 indexed citations
5.
Navarro, Jorge, et al.. (2022). Distortion representations of multivariate distributions. Statistical Methods & Applications. 31(4). 925–954. 7 indexed citations
6.
Longobardi, Maria, et al.. (2022). Weighted Cumulative Past Extropy and Its Inference. Entropy. 24(10). 1444–1444. 7 indexed citations
7.
Longobardi, Maria, et al.. (2021). Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data. Entropy. 24(1). 9–9. 4 indexed citations
8.
Longobardi, Maria, et al.. (2021). Multivariate Reversed Hazard Rates and Inactivity Times of Systems. Methodology And Computing In Applied Probability. 24(3). 1987–2008. 1 indexed citations
9.
Tahmasebi, Saeid, et al.. (2020). Cumulative Tsallis entropy for maximum ranked set sampling with unequal samples. Physica A Statistical Mechanics and its Applications. 556. 124763–124763. 8 indexed citations
10.
Longobardi, Maria, et al.. (2018). PROPERTIES FOR GENERALIZED CUMULATIVE PAST MEASURES OF INFORMATION. Probability in the Engineering and Informational Sciences. 34(1). 92–111. 19 indexed citations
11.
Navarro, Jorge, Maria Longobardi, & Franco Pellerey. (2017). Comparison results for inactivity times of k-out-of-n and general coherent systems with dependent components. Test. 26(4). 822–846. 22 indexed citations
12.
Longobardi, Maria, et al.. (2017). Some properties of cumulative Tsallis entropy. Physica A Statistical Mechanics and its Applications. 486. 1012–1021. 36 indexed citations
13.
Longobardi, Maria, et al.. (2017). Electronic coupling between Bi nanolines and the Si(001) substrate: An experimental and theoretical study. Physical review. B.. 96(23). 2 indexed citations
14.
Longobardi, Maria, et al.. (2015). Structure of Self-Assembled Mn Atom Chains on Si(001). Physical Review Letters. 115(25). 256104–256104. 6 indexed citations
15.
Crescenzo, Antonio Di & Maria Longobardi. (2008). COMPETING RISKS WITHIN SHOCK MODELS. Scientiae mathematicae Japonicae. 67(2). 125–135. 2 indexed citations
16.
Crescenzo, Antonio Di & Maria Longobardi. (2004). A measure of discrimination between past lifetime distributions. Statistics & Probability Letters. 67(2). 173–182. 64 indexed citations
17.
Longobardi, Maria, et al.. (2001). THE UP REVERSED HAZARD RATE STOCHASTIC ORDER. Scientiae mathematicae Japonicae. 54(3). 575–581. 7 indexed citations
18.
Leonetti, Francesco, et al.. (2001). Differentiability for Bounded Minimizers of Some Anisotropic Integrals. Journal of Mathematical Analysis and Applications. 253(2). 640–650. 9 indexed citations
19.
Leonetti, Francesco, et al.. (1998). Differentiability for minimizers of anisotropic integrals. Commentationes Mathematicae Universitatis Carolinae. 39(4). 685–696. 3 indexed citations
20.
Longobardi, Maria, et al.. (1997). Imbedding estimates and elliptic equations with discontinuous coefficients in unbounded domain. ˜Le œMatematiche. 51(1). 87–104. 17 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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