Stefano Bonaccorsi

508 total citations
46 papers, 286 citations indexed

About

Stefano Bonaccorsi is a scholar working on Finance, Control and Systems Engineering and Mathematical Physics. According to data from OpenAlex, Stefano Bonaccorsi has authored 46 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Finance, 20 papers in Control and Systems Engineering and 18 papers in Mathematical Physics. Recurrent topics in Stefano Bonaccorsi's work include Stochastic processes and financial applications (27 papers), Stability and Controllability of Differential Equations (20 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Stefano Bonaccorsi is often cited by papers focused on Stochastic processes and financial applications (27 papers), Stability and Controllability of Differential Equations (20 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Stefano Bonaccorsi collaborates with scholars based in Italy, Romania and Germany. Stefano Bonaccorsi's co-authors include Luciano Tubaro, Giuseppina Guatteri, Piet Van Mieghem, Francesco De Pellegrini, Viorel Barbu, Sonia Mazzucchi, Elisa Alòs, Wolfgang Desch, Giuseppe Da Prato and Annalisa Socievole and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and SIAM Journal on Control and Optimization.

In The Last Decade

Stefano Bonaccorsi

42 papers receiving 273 citations

Peers

Stefano Bonaccorsi
Comparison fields: 5 of 48
  • Finance 135
  • Computational Theory and Mathematics 114
  • Control and Systems Engineering 110
  • Mathematical Physics 71
  • Applied Mathematics 63
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Citations per field, relative to Stefano Bonaccorsi
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Citations per year, relative to Stefano Bonaccorsi
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Countries citing papers authored by Stefano Bonaccorsi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Bonaccorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Bonaccorsi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Bonaccorsi. A scholar is included among the top collaborators of Stefano Bonaccorsi 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 Stefano Bonaccorsi. Stefano Bonaccorsi 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
# Work Indexed citations
1 1
2 6
3 14
4 6
5 3
6 1
7 21
8 9
9 0
10 12
11 11
12 3
13 0
14 7
15 3
16 1
17 24
18 5
19 2
20
Regularity results for infinite dimensional diffusions. A Malliavin calculus approach
5

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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