Lea Petrella

1.9k citations
65 papers · 1.2k · h-index 17

Impact in

Papers in

    • Statistical Methods and Inference 20
    • Advanced Statistical Methods and Models 10
    • Statistical Distribution Estimation and Applications 7
    • Statistical Methods and Bayesian Inference 5
    • Market Dynamics and Volatility 10

Lea Petrella

59 papers receiving 1.2k citations

Peers

Lea Petrella
Comparison fields: 5 of 120
  • Finance 238
  • Statistics and Probability 180
  • Management Science and Operations Research 139
  • Economics and Econometrics 248
  • Global and Planetary Change 177
Replace Zhengjun Zhang with:
Zhengjun Zhang United States
Mark E. Johnson United States
Giovanni De Luca Italy
S. T. Boris Choy Australia
Marco Alfò Italy
Peter J. Barry United States
Aristidis K. Nikoloulopoulos United Kingdom
Steven Haberman United Kingdom
Jan de Haan Netherlands
Søren Feodor Nielsen Denmark
Lea Petrella relative to Zhengjun Zhang United States Zhengjun Zhang's profile →
Citations per field
00.5×1.5×
Zhengjun Zhang · 1×
Citations per year

Countries citing papers authored by Lea Petrella

Since Specialization
Citations

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

Fields of papers citing papers by Lea Petrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lea Petrella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lea Petrella Line = papers co-authored together Lea Petrella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016191
2 200692
3 200987
4 200966
5 200965
6 201163
7 201859
8 201259
9 201548
10 201740
11 200838
12 201938
13 201736
14 201536
15 202122
16 200120
17 201517
18 201516
19 201715
20 201814

About Lea Petrella

Lea Petrella is a scholar working on Statistics and Probability, Economics and Econometrics, Finance, Artificial Intelligence and General Economics, Econometrics and Finance, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Financial Risk and Volatility Modeling (18 papers), Bayesian Methods and Mixture Models (11 papers), Market Dynamics and Volatility (10 papers), Advanced Statistical Methods and Models (10 papers), Monetary Policy and Economic Impact (8 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Finance (238 citations), Statistics and Probability (180 citations), Management Science and Operations Research (139 citations), Economics and Econometrics (248 citations) and Global and Planetary Change (177 citations). Lea Petrella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mauro Bernardi, Antonello Maruotti, Filippo Belloc, Gianfausto Salvadori, Fabrizio Durante, Giuseppe Cardillo, Francesco Carleo, Carlo De Michele, Lorenzo Salvadori and Luigi Carbone. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, Computational Statistics & Data Analysis, Annals of Operations Research, Statistical Modelling and Statistics and Computing.

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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