Iván Payá

1.1k citations
55 papers · 667 · h-index 14

Impact in

Papers in

Iván Payá

52 papers receiving 618 citations

Peers

Iván Payá
Comparison fields: 5 of 52
  • General Economics, Econometrics and Finance 408
  • Finance 334
  • Economics and Econometrics 550
  • General Decision Sciences 10
  • Accounting 61
Replace Natacha Valla with:
Natacha Valla France
Philippe Andrade France
Yash P. Mehra United States
Michael T. Belongia United States
Tara M. Sinclair United States
Pok‐sang Lam United States
Stuart Hyde United Kingdom
Nikolaos Panigirtzoglou United Kingdom
Stefan Reitz Germany
Karsten R. Gerdrup Norway
Iván Payá relative to Natacha Valla France Natacha Valla's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Payá

Since Specialization
Citations

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

Fields of papers citing papers by Iván Payá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Iván Payá, 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 Iván Payá Line = papers co-authored together Iván Payá links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015117
2 200453
3 201549
4 200339
5 200334
6 201832
7 201731
8 200622
9 200919
10 201119
11 200417
12 200915
13 201314
14 200613
15 201112
16 200711
17 201911
18 201511
19
Do real exchange rates "Mean Revert" to productivity? : a nonlinear approach
200510
20 200510

About Iván Payá

Iván Payá is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Accounting and General Decision Sciences, having authored 55 papers that have together received 667 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (35 papers), Market Dynamics and Volatility (28 papers), Economic theories and models (15 papers), Housing Market and Economics (8 papers), Complex Systems and Time Series Analysis (8 papers), Global Financial Crisis and Policies (6 papers), Financial Literacy, Pension, Retirement Analysis (5 papers) and Financial Markets and Investment Strategies (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (408 citations), Finance (334 citations), Economics and Econometrics (550 citations), General Decision Sciences (10 citations) and Accounting (61 citations). Iván Payá has collaborated with scholars based in United Kingdom, Spain and Greece. Frequent co-authors include David Peel, Efthymios Pavlidis, Ioannis A. Venetis, Valerie Aarne Grossman, Trino‐Manuel Ñíguez, Adrienne Mack, Enrique Martínez‐García, Alisa Yusupova, Javier Perote and Ruthira Naraidoo. Their work appears in journals such as Economics Letters, Journal of money credit and banking, Studies in Nonlinear Dynamics and Econometrics, Journal of Forecasting and International Journal of Forecasting.

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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