Iván Payá

1.1k citations
51 papers · 629 · h-index 13

Impact in

Papers in

Iván Payá

49 papers receiving 590 citations

Peers

Iván Payá
Comparison fields: 5 of 47
  • General Economics, Econometrics and Finance 384
  • Finance 312
  • Economics and Econometrics 518
  • Accounting 61
  • General Decision Sciences 9
Replace Natacha Valla with:
Natacha Valla France
Yash P. Mehra United States
Tara M. Sinclair United States
Karsten R. Gerdrup Norway
Eric Engström United States
Hossein Asgharian Sweden
Juan M. Londoño United States
Jinill Kim United States
Filip Žikeš United Kingdom
James M. Steeley United Kingdom
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Citations per field
00.5×2.9×
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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 16 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201551
3 200451
4 200338
5 200331
6 201730
7 201829
8 200620
9 201119
10 200918
11 200416
12 200914
13 201314
14 200612
15 201911
16 201111
17 200510
18 200710
19 201510
20
Do real exchange rates "Mean Revert" to productivity? : a nonlinear approach
20059

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 51 papers that have together received 629 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (34 papers), Market Dynamics and Volatility (27 papers), Economic theories and models (15 papers), Complex Systems and Time Series Analysis (8 papers), Housing Market and Economics (7 papers), Financial Markets and Investment Strategies (5 papers), Global Financial Crisis and Policies (5 papers) and Economic Theory and Policy (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (384 citations), Finance (312 citations), Economics and Econometrics (518 citations), Accounting (61 citations) and General Decision Sciences (9 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, Trino‐Manuel Ñíguez, Valerie Aarne Grossman, Enrique Martínez‐García, Adrienne Mack, Javier Perote, K. Holden and Peng Wang. 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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