Jonas E. Arias

814 citations
13 papers · 472 · 1 hit paper · h-index 8

Impact in

Papers in

Jonas E. Arias

12 papers receiving 445 citations

Jonas E. Arias's Hit Papers

Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications 2018 · 256 citations
2560+2+5Years since publication50100150200250

Peers

Jonas E. Arias
Comparison fields: 5 of 40
  • General Economics, Econometrics and Finance 351
  • Finance 183
  • Economics and Econometrics 363
  • General Energy 6
  • Renewable Energy, Sustainability and the Environment 49
Replace Benjamin Wong with:
Benjamin Wong Australia
Robinson Kruse Denmark
Christian K. Wolf United States
Björn van Roye Germany
Toshiaki Watanabe Japan
Sai Ma United States
Güneş Kamber New Zealand
Manuel M. F. Martins Portugal
Genaro Sucarrat Norway
Alain Hecq Netherlands
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Citations per year

Countries citing papers authored by Jonas E. Arias

Since Specialization
Citations

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

Fields of papers citing papers by Jonas E. Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas E. Arias. 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 Jonas E. Arias. The network helps show where Jonas E. Arias may publish in the future.

Co-authors

The 9 scholars most cited alongside Jonas E. Arias, 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 Jonas E. Arias Line = papers co-authored together Jonas E. Arias links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications
Hit paper breakdown →
2018256
2 201894
3 202134
4 201426
5 202218
6 201615
7 201510
8 20188
9 20236
10 20183
11 20251
12 20181
13
Tracking U.S. Real GDP Growth During the Pandemic
20200

About Jonas E. Arias

Jonas E. Arias is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, General Health Professions and Artificial Intelligence, having authored 13 papers that have together received 472 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (8 papers), Market Dynamics and Volatility (4 papers), Economic Policies and Impacts (3 papers), Italy: Economic History and Contemporary Issues (2 papers), Complex Systems and Time Series Analysis (1 paper), Bayesian Modeling and Causal Inference (1 paper), Credit Risk and Financial Regulations (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (351 citations), Finance (183 citations), Economics and Econometrics (363 citations), General Energy (6 citations) and Renewable Energy, Sustainability and the Environment (49 citations). Jonas E. Arias has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Juan Francisco Rubio-Ramı́rez, Daniel F. Waggoner, Dario Caldara, Minchul Shin, Mathias Trabandt, Christopher J. Erceg, Guido Ascari, Efrem Castelnuovo and Jesús Fernández‐Villaverde. Their work appears in journals such as Journal of Econometrics, Econometrica, European Economic Review, American Economic Journal Macroeconomics and Journal of Monetary Economics.

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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