Iván Petrella

1.7k total citations
65 papers, 851 citations indexed

About

Iván Petrella is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Iván Petrella has authored 65 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Economics and Econometrics, 47 papers in General Economics, Econometrics and Finance and 26 papers in Finance. Recurrent topics in Iván Petrella's work include Monetary Policy and Economic Impact (44 papers), Market Dynamics and Volatility (27 papers) and Economic theories and models (19 papers). Iván Petrella is often cited by papers focused on Monetary Policy and Economic Impact (44 papers), Market Dynamics and Volatility (27 papers) and Economic theories and models (19 papers). Iván Petrella collaborates with scholars based in United Kingdom, Italy and Denmark. Iván Petrella's co-authors include Luciana Juvenal, Emiliano Santoro, Thomas Drechsel, Sean Holly, Juan Francisco Rubio-Ramı́rez, Edoardo Gaffeo, Damjan Pfajfar, Henrik Jensen, Anthony Garratt and Henrik Elvang Jensen and has published in prestigious journals such as The Review of Economics and Statistics, Journal of Econometrics and Energy Economics.

In The Last Decade

Iván Petrella

64 papers receiving 806 citations

Peers

Iván Petrella
Comparison fields: 5 of 72
  • Economics and Econometrics 676
  • General Economics, Econometrics and Finance 476
  • Finance 232
  • Renewable Energy, Sustainability and the Environment 146
  • Accounting 55
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Tilak Abeysinghe Singapore
R. Scott Hacker Sweden
Kevin L. Kliesen United States
Robert W. Rich United States
Mikkel Plagborg‐Møller United States
Michał Rubaszek Poland
Faek Menla Ali United Kingdom
Pär Österholm Sweden
Valérie Mignon France
Steffen Elstner Germany
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Citations per field, relative to Iván Petrella
Iván Petrella · 1×
Citations per year, relative to Iván Petrella
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Countries citing papers authored by Iván Petrella

Since Specialization
Citations

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

Fields of papers citing papers by Iván Petrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Petrella

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Petrella. A scholar is included among the top collaborators of Iván Petrella 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 Iván Petrella. Iván Petrella 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 4
2 3
3 4
4 5
5 2
6 24
7 8
8 29
9 52
10 5
11
Time-Varying Price Flexibility and Inflation Dynamics
1
12
Structural scenario analysis and stress testing with vector autoregressions
1
13 184
14 1
15
When Oil Prices Jump, Is Speculation To Blame?
1
16 31
17 21
18 7
19 2
20 2

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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