Antoni Espasa

622 total citations
24 papers, 282 citations indexed

About

Antoni Espasa is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Antoni Espasa has authored 24 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Economics, Econometrics and Finance, 11 papers in Economics and Econometrics and 8 papers in Management Science and Operations Research. Recurrent topics in Antoni Espasa's work include Monetary Policy and Economic Impact (12 papers), Forecasting Techniques and Applications (5 papers) and Financial Risk and Volatility Modeling (4 papers). Antoni Espasa is often cited by papers focused on Monetary Policy and Economic Impact (12 papers), Forecasting Techniques and Applications (5 papers) and Financial Risk and Volatility Modeling (4 papers). Antoni Espasa collaborates with scholars based in Spain, Chile and Italy. Antoni Espasa's co-authors include José Ramón Cancelo de la Torre, James W. Taylor, Esther Ruiz, J. D. Sargan, Daniel Peña, John M. Abowd, Juan de Díos Tena, Maŕıa Durbán, José Manuel Guaita Martínez and Román Mı́nguez and has published in prestigious journals such as Journal of the American Statistical Association, Economics Letters and International Journal of Forecasting.

In The Last Decade

Antoni Espasa

21 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antoni Espasa Spain 8 152 104 100 87 27 24 282
Ahmad M. Al-Kandari Kuwait 8 124 0.8× 28 0.3× 134 1.3× 61 0.7× 20 0.7× 17 288
Gabriel Vasconcelos Brazil 8 68 0.4× 143 1.4× 171 1.7× 136 1.6× 56 2.1× 16 337
Nowrouz Kohzadi Canada 4 96 0.6× 164 1.6× 97 1.0× 15 0.2× 17 0.6× 6 309
Silvano Bordignon Italy 12 139 0.9× 84 0.8× 181 1.8× 66 0.8× 116 4.3× 26 407
Stephan Kossmeier Austria 6 229 1.5× 60 0.6× 155 1.6× 117 1.3× 241 8.9× 6 485
Adam Misiorek Poland 5 427 2.8× 117 1.1× 171 1.7× 44 0.5× 35 1.3× 9 466
Bartosz Uniejewski Poland 11 488 3.2× 166 1.6× 128 1.3× 36 0.4× 14 0.5× 16 546
Peter Nystrup Denmark 12 133 0.9× 125 1.2× 124 1.2× 33 0.4× 128 4.7× 25 370
Dima Alberg Israel 4 68 0.4× 83 0.8× 173 1.7× 52 0.6× 159 5.9× 11 314
Rick Steinert Germany 4 283 1.9× 61 0.6× 86 0.9× 13 0.1× 15 0.6× 5 309

Countries citing papers authored by Antoni Espasa

Since Specialization
Citations

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

Fields of papers citing papers by Antoni Espasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoni Espasa

This figure shows the co-authorship network connecting the top 25 collaborators of Antoni Espasa. A scholar is included among the top collaborators of Antoni Espasa 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 Antoni Espasa. Antoni Espasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Espasa, Antoni, et al.. (2020). Discovering Specific Common Trends in a Large Set of Disaggregates: Statistical Procedures, their Properties and an Empirical Application*. Oxford Bulletin of Economics and Statistics. 83(3). 641–662. 4 indexed citations
2.
Espasa, Antoni, et al.. (2015). Quarterly Regional GDP Flash Estimates by Means of Benchmarking and Chain Linking. Journal of Official Statistics. 31(4). 627–647. 5 indexed citations
3.
Tena, Juan de Díos, et al.. (2015). Geographical disaggregation of sectoral inflation. Econometric modelling of the Euro area and Spanish economies. Applied Economics. 48(9). 799–815. 1 indexed citations
4.
Espasa, Antoni & Maŕıa Durbán. (2013). Comments on: Short‐term forecasting the daily load curve for residential electricity usage in smart grid. Applied Stochastic Models in Business and Industry. 29(6). 621–623. 2 indexed citations
5.
Espasa, Antoni, et al.. (2013). Forecasting aggregates and disaggregates with common features. International Journal of Forecasting. 29(4). 718–732. 10 indexed citations
6.
Ruiz, Esther, et al.. (2010). Prediction intervals in conditionally heteroscedastic time series with stochastic components. International Journal of Forecasting. 27(2). 308–319. 17 indexed citations
7.
Ruiz, Esther, et al.. (2009). Conditionally heteroscedastic unobserved component models and their reduced form. Economics Letters. 107(2). 88–90. 1 indexed citations
8.
Tena, Juan de Díos, et al.. (2009). Forecasting Spanish Inflation Using the Maximum Disaggregation Level by Sectors and Geographical Areas. International Regional Science Review. 33(2). 181–204. 6 indexed citations
9.
Taylor, James W. & Antoni Espasa. (2008). Energy forecasting. International Journal of Forecasting. 24(4). 561–565. 12 indexed citations
10.
Torre, José Ramón Cancelo de la, et al.. (2008). Forecasting the electricity load from one day to one week ahead for the Spanish system operator. International Journal of Forecasting. 24(4). 588–602. 139 indexed citations
11.
Espasa, Antoni, et al.. (2007). Econometric modelling for short‐term inflation forecasting in the euro area. Journal of Forecasting. 26(5). 303–316. 8 indexed citations
12.
13.
Torre, José Ramón Cancelo de la & Antoni Espasa. (2001). Using high-frequency data and time series models to improve yield management. International Journal of Services Technology and Management. 2(1/2). 59–59. 1 indexed citations
14.
Torre, José Ramón Cancelo de la & Antoni Espasa. (2000). Análisis cuantitativo de los precios de la vivienda: principales resultados e implicaciones sobre el funcionamiento del mercado de la vivienda en España. e-Archivo (Carlos III University of Madrid). 7 indexed citations
15.
16.
Abowd, John M. & Antoni Espasa. (1978). The Spectral Maximum Likelihood Estimation of Econometric Models with Stationary Errors.. Journal of the American Statistical Association. 73(363). 682–682. 5 indexed citations
17.
Espasa, Antoni. (1977). El problema de la desestacionalización de las series económicas.. Boletín de Estudios Económicos. 32(101). 461–478. 1 indexed citations
18.
Espasa, Antoni. (1977). A Note on the Acceptability of Regression Solutions: Another Look at Computational Accuracy. Journal of the American Statistical Association. 72(359). 603–603. 3 indexed citations
19.
Espasa, Antoni & J. D. Sargan. (1977). The Spectral Estimation of Simultaneous Equation Systems with Lagged Endogenous Variables. International Economic Review. 18(3). 583–583. 12 indexed citations
20.
Espasa, Antoni. (1973). Notas sobre la correlación serial en modelos econométricos uniecuacionales. e-Archivo (Carlos III University of Madrid). 95–116.

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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