Giovanni Peccati

5.3k citations
83 papers · 1.9k indexed · h-index 23
Topics
Stochastic processes and financial applications (33 papers)Stochastic processes and statistical mechanics (28 papers)Random Matrices and Applications (25 papers)
Partner nations
LuxembourgFranceItaly

In The Last Decade

Giovanni Peccati

80 papers receiving 1.8k citations

Peers

Giovanni Peccati
Comparison fields: 5 of 74
  • Mathematical Physics 865
  • Statistics and Probability 772
  • Finance 702
  • Applied Mathematics 593
  • Geometry and Topology 221
Replace Ivan Nourdin with:
Ivan Nourdin France
Friedrich Götze Germany
Jean‐François Le Gall France
Sergey G. Bobkov United States
Scott Sheffield⋆ United States
Jean Bertoin France
Hui-Hsiung Kuo United States
Philippe Bougerol France
Christian Berg Denmark
Michael B. Marcus United States
Giovanni Peccati relative to Ivan Nourdin France Ivan Nourdin's profile →
Citations per field
00.5×2.9×
Ivan Nourdin · 1×
Citations per year

Countries citing papers authored by Giovanni Peccati

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Peccati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Peccati

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Peccati. A scholar is included among the top collaborators of Giovanni Peccati 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 Giovanni Peccati. Giovanni Peccati 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 2
2 4
3
Approximation of Fractional Local Times: Zero Energy and Derivatives
5
4 4
5 6
6 27
7 13
8 5
9 43
10 1
11 5
12 34
13 116
14 4
15 3
16 35
17 10
18 224
19 0
20
On the convergence of multiple random integrals
9

About Giovanni Peccati

Giovanni Peccati is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (33 papers), Stochastic processes and statistical mechanics (28 papers) and Random Matrices and Applications (25 papers). The work is most often cited by research in Mathematical Physics (865 citations), Statistics and Probability (772 citations) and Finance (702 citations). Giovanni Peccati has collaborated with scholars based in Luxembourg, France and Italy. Frequent co-authors include Ivan Nourdin, Domenico Marinucci, Murad S. Taqqu, David Nualart, Raphaël Lachièze-Rey, Gesine Reinert, Anthony Réveillac, Günter Last, Michel Ledoux and Matthias Schulte. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Journal of Mathematical Analysis and Applications.

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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