Adrian Peralta‐Alva
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 5%
- Finance top 10%
- Accounting top 10%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Manuel S. SantosSami AlpandaPedro Gomis‐PorquerasCarlos GarrigaRodolfo E. ManuelliChristopher J. WallerZhigang FengJianjun Miao
- Topics
- Monetary Policy and Economic Impact (16 papers)Economic theories and models (14 papers)Fiscal Policy and Economic Growth (10 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Adrian Peralta‐Alva
38 papers receiving 329 citations
Peers
Comparison fields: 5 of 57
- Economics and Econometrics 294
- General Economics, Econometrics and Finance 141
- Finance 85
- Accounting 60
- Renewable Energy, Sustainability and the Environment 24
Countries citing papers authored by Adrian Peralta‐Alva
This map shows the geographic impact of Adrian Peralta‐Alva'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 Adrian Peralta‐Alva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Peralta‐Alva more than expected).
Fields of papers citing papers by Adrian Peralta‐Alva
This network shows the impact of papers produced by Adrian Peralta‐Alva. 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 Adrian Peralta‐Alva. The network helps show where Adrian Peralta‐Alva may publish in the future.
Co-authorship network of co-authors of Adrian Peralta‐Alva
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Peralta‐Alva. A scholar is included among the top collaborators of Adrian Peralta‐Alva 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 Adrian Peralta‐Alva. Adrian Peralta‐Alva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 16 | |
| 12 | New technology may cause stock volatility | 1 |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 19 | |
| 17 | 0 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Accuracy Properties of the Statistics from Numerical Simulations | 2 |
About Adrian Peralta‐Alva
Adrian Peralta‐Alva is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 45 papers that have together received 366 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (16 papers), Economic theories and models (14 papers) and Fiscal Policy and Economic Growth (10 papers). The work is most often cited by research in General Economics, Econometrics and Finance (141 citations), Economics and Econometrics (294 citations) and Finance (85 citations). Adrian Peralta‐Alva has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Manuel S. Santos, Sami Alpanda, Pedro Gomis‐Porqueras, Carlos Garriga, Rodolfo E. Manuelli, Christopher J. Waller, Zhigang Feng, Jianjun Miao, Michele Boldrín and Marina Mendes Tavares. Their work appears in journals such as American Economic Review, Econometrica and The Economic Journal.
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.