Paolo Vidoni

753 total citations
36 papers, 467 citations indexed

About

Paolo Vidoni is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Paolo Vidoni has authored 36 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 9 papers in Finance and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Paolo Vidoni's work include Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (10 papers). Paolo Vidoni is often cited by papers focused on Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (10 papers). Paolo Vidoni collaborates with scholars based in Italy. Paolo Vidoni's co-authors include Cristiano Varin, Marco Ferrante, Corrado Lagazio, Michela Battauz, Luca Di Gaspero, Giuseppe Lancia, Luca Grassetti, Ruggero Bellio, Enrico Bozzo and Massimo Franceschet and has published in prestigious journals such as Biometrics, European Journal of Operational Research and Biometrika.

In The Last Decade

Paolo Vidoni

32 papers receiving 433 citations

Peers

Paolo Vidoni
Comparison fields: 5 of 83
  • Statistics and Probability 222
  • Economics and Econometrics 114
  • Finance 97
  • Artificial Intelligence 93
  • Global and Planetary Change 68
Replace Athanasios C. Micheas with:
Athanasios C. Micheas United States
Nicola Sartori Italy
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Jiahui Wang China
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Paramsothy Silvapulle Australia
Nan‐Jung Hsu Taiwan
Alessandra Salvan Italy
Loukia Meligkotsidou Greece
Athanasios C. Micheas United States View profile →
Citations per field, relative to Paolo Vidoni
Paolo Vidoni · 1×
Citations per year, relative to Paolo Vidoni
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Countries citing papers authored by Paolo Vidoni

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Vidoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Vidoni

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Vidoni. A scholar is included among the top collaborators of Paolo Vidoni 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 Paolo Vidoni. Paolo Vidoni 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 2
2 0
3 3
4 3
5 0
6 1
7 8
8 1
9 2
10 0
11 5
12 31
13 1
14 8
15
Geometric ergodicity, regularity of the invariant distribution and inference for a threshold bilinear Markov process
2
16 0
17
On a simple threshold bilinear model.
1
18 4
19 11
20 17

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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