Lorena Sáiz

529 citations
16 papers · 310 indexed · h-index 6

Impact in

Papers in

Lorena Sáiz

14 papers receiving 282 citations

Peers

Lorena Sáiz
Comparison fields: 5 of 34
  • General Economics, Econometrics and Finance 222
  • Finance 195
  • Economics and Econometrics 213
  • General Energy 2
  • Development 6
Replace Olesya V. Grishchenko with:
Olesya V. Grishchenko United States
Thomas M. Mertens United States
Björn van Roye Germany
Caroline Jardet France
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Carlos Eduardo Soares Gonçalves Brazil
Marius Rodriguez United States
Fatih Özatay Türkiye
TengTeng Xu United States
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Citations per field
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Citations per year

Countries citing papers authored by Lorena Sáiz

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Sáiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Lorena Sáiz, 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 Lorena Sáiz Line = papers co-authored together Lorena Sáiz links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20241
2 20243
3 202319
4
Using machine learning and big data to analyse the business cycle
20210
5
Assessing short-term economic developments in times of COVID-19
20210
6 20215
7 20201
8
Short-term forecasting of euro area economic activity at the ECB
20202
9 202017
10
Sources of economic policy uncertainty in the euro area: a machine learning approach
20192
11
Consumption of durable goods in the ongoing economic expansion
20182
12
Growth synchronisation in euro area countries
20181
13
Investment in intangible assets in the euro area
20185
14 200779
15 2006136
16 200637

About Lorena Sáiz

Lorena Sáiz is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Management Science and Operations Research and Sociology and Political Science, having authored 16 papers that have together received 310 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (8 papers), Global Financial Crisis and Policies (4 papers), Market Dynamics and Volatility (4 papers), Media Influence and Politics (2 papers), European Monetary and Fiscal Policies (2 papers), Energy, Environment, Economic Growth (1 paper), Financial Markets and Investment Strategies (1 paper) and Economic Theory and Policy (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (222 citations), Finance (195 citations), Economics and Econometrics (213 citations), General Energy (2 citations) and Development (6 citations). Lorena Sáiz has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Máximo Camacho, Gabriel Pérez‐Quirós, Esther Moral, Juan F. Jimeno, Luca Onorante, Eleni Kalamara, Marta Bańbura, Maarten Dossche, Roberto A. De Santis and Jaime Martínez-Martín. Their work appears in journals such as Journal of Economic Dynamics and Control, Journal of Applied Econometrics, European Economic Review, SSRN Electronic Journal and RePEc: Research Papers in 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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