Gabriella Salinetti

1.4k citations
22 papers · 533 indexed · h-index 11
Topics
Advanced Topology and Set Theory (7 papers)Optimization and Variational Analysis (6 papers)Stochastic processes and financial applications (4 papers)

In The Last Decade

Gabriella Salinetti

20 papers receiving 433 citations

Peers

Gabriella Salinetti
Comparison fields: 5 of 57
  • Computational Theory and Mathematics 242
  • Statistics and Probability 181
  • Mathematical Physics 152
  • Management Science and Operations Research 138
  • Applied Mathematics 134
Replace C. J. Himmelberg with:
C. J. Himmelberg United States
Lothar Rogge Germany
Dieter Landers Germany
Daniel H. Wagner
Pier Luigi Papini Italy
Richard A. Vitale United States
Vladimir Rotar Russia
Roger Purves United States
V. Tarieladze Georgia
Szymon Dolecki France
Gabriella Salinetti relative to C. J. Himmelberg United States C. J. Himmelberg's profile →
Citations per field
00.5×3.3×
C. J. Himmelberg · 1×
Citations per year

Countries citing papers authored by Gabriella Salinetti

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Salinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Salinetti

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Salinetti. A scholar is included among the top collaborators of Gabriella Salinetti 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 Gabriella Salinetti. Gabriella Salinetti 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
#WorkIndexed citations
1 0
2 1
3 4
4 12
5 5
6 1
7
Advances in probability distributions with given marginals : beyond the copulas
50
8
Weak Convergence of Probability Measures Revisited
3
9 1
10 9
11 61
12 15
13 13
14 47
15 52
16 8
17 12
18 136
19 0
20 85

About Gabriella Salinetti

Gabriella Salinetti is a scholar working on Geometry and Topology, Mathematical Physics and Statistics and Probability, having authored 22 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (7 papers), Optimization and Variational Analysis (6 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Statistics and Probability (181 citations), Mathematical Physics (152 citations) and Computational Theory and Mathematics (242 citations). Gabriella Salinetti has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Roger J.‐B. Wets, Szymon Dolecki, Samuel Kotz, Roberto Lucchetti, Wim Vervaat, James O. Berger, Marco Perone-Pacifico, Lea Petrella, Brunero Liseo and Luca Tardella. Their work appears in journals such as Lecture notes in mathematics, Journal of Mathematical Analysis and Applications and SIAM Review.

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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