Marcos Álvarez‐Díaz

758 total citations
46 papers, 533 citations indexed

About

Marcos Álvarez‐Díaz is a scholar working on Economics and Econometrics, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Marcos Álvarez‐Díaz has authored 46 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Economics and Econometrics, 13 papers in Sociology and Political Science and 9 papers in Management Science and Operations Research. Recurrent topics in Marcos Álvarez‐Díaz's work include Diverse Aspects of Tourism Research (12 papers), Complex Systems and Time Series Analysis (10 papers) and Economic and Environmental Valuation (7 papers). Marcos Álvarez‐Díaz is often cited by papers focused on Diverse Aspects of Tourism Research (12 papers), Complex Systems and Time Series Analysis (10 papers) and Economic and Environmental Valuation (7 papers). Marcos Álvarez‐Díaz collaborates with scholars based in Spain, United States and Italy. Marcos Álvarez‐Díaz's co-authors include Alberto Álvarez, Jaume Rosselló, Rangan Gupta, Claudia Ghisetti, Béatrice d’Hombres, Nicola Pontarollo, Shawkat Hammoudeh, Elena de Prada Creo, Mercedes Mareque and Mario Soliño and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tourism Management and Ecological Economics.

In The Last Decade

Marcos Álvarez‐Díaz

43 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Álvarez‐Díaz Spain 14 285 210 113 92 87 46 533
Shui Ki Wan Hong Kong 8 233 0.8× 99 0.5× 72 0.6× 19 0.2× 118 1.4× 15 459
Mototsugu Fukushige Japan 9 157 0.6× 120 0.6× 57 0.5× 35 0.4× 46 0.5× 47 390
Henry M.K. Mok Hong Kong 11 288 1.0× 89 0.4× 53 0.5× 35 0.4× 66 0.8× 18 737
Kurt Brännäs Sweden 15 309 1.1× 39 0.2× 100 0.9× 28 0.3× 158 1.8× 53 712
Shujie Shen United Kingdom 9 162 0.6× 410 2.0× 179 1.6× 126 1.4× 22 0.3× 13 663
Tzu-Kuang Hsu Taiwan 6 74 0.3× 265 1.3× 53 0.5× 117 1.3× 9 0.1× 16 447
Erik Haugom Norway 15 519 1.8× 104 0.5× 60 0.5× 16 0.2× 165 1.9× 64 737
N. Scott Cardell United States 9 394 1.4× 21 0.1× 61 0.5× 78 0.8× 55 0.6× 23 636
Xin Su China 10 187 0.7× 128 0.6× 46 0.4× 16 0.2× 15 0.2× 38 515
Luís F. Martins Portugal 11 450 1.6× 159 0.8× 20 0.2× 56 0.6× 216 2.5× 39 687

Countries citing papers authored by Marcos Álvarez‐Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Álvarez‐Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Álvarez‐Díaz. 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 Marcos Álvarez‐Díaz. The network helps show where Marcos Álvarez‐Díaz may publish in the future.

Co-authorship network of co-authors of Marcos Álvarez‐Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Álvarez‐Díaz. A scholar is included among the top collaborators of Marcos Álvarez‐Díaz 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 Marcos Álvarez‐Díaz. Marcos Álvarez‐Díaz 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.
Álvarez‐Díaz, Marcos, et al.. (2022). Unraveling the profile of domestic cultural travelers in Spain: An analysis based on bootstrap p values. Journal of Hospitality and Tourism Management. 51. 397–400. 2 indexed citations
2.
Álvarez‐Díaz, Marcos, et al.. (2017). Estimating the effects of regional political climate on Russian tourists to Spain. Current Issues in Tourism. 22(4). 409–414. 4 indexed citations
3.
Álvarez‐Díaz, Marcos, Béatrice d’Hombres, & Claudia Ghisetti. (2017). Modelling inter- and intra-regional tourism flows in Spain – a spatial econometric approach. Regional Statistics. 7(2). 3–34. 18 indexed citations
4.
Álvarez‐Díaz, Marcos, et al.. (2015). LA DEMANDA DE TURISTAS BRITÁNICOS A ESPAÑA. Revista de economía aplicada. 23(69). 51–59. 1 indexed citations
5.
Álvarez‐Díaz, Marcos, et al.. (2015). Assessment of Political Situation over the Business Cycle in Spain: A Time Series Analysis. Revista Hacienda Pública Española. 213(213). 41–62. 3 indexed citations
6.
Álvarez‐Díaz, Marcos, et al.. (2014). Research Note: Estimating Price and Income Demand Elasticities for Spain Separately by the Major Source Markets. Tourism Economics. 21(5). 1103–1110. 12 indexed citations
7.
Álvarez‐Díaz, Marcos, et al.. (2012). Estimating the long-run effects of socioeconomic and meteorological factors on the domestic tourism demand for Galicia (Spain). Tourism Management. 33(6). 1301–1308. 49 indexed citations
8.
Álvarez‐Díaz, Marcos, et al.. (2011). MODELING DOMESTIC TOURISM DEMAND IN GALICIA USING THE ARDL APPROACH. SHILAP Revista de lepidopterología. 7 indexed citations
9.
Álvarez‐Díaz, Marcos, et al.. (2011). Forecasting Daily Air Arrivals in Mallorca Island Using Nearest Neighbour Methods. Tourism Economics. 17(1). 191–208. 15 indexed citations
10.
Álvarez‐Díaz, Marcos. (2010). Speculative strategies in the foreign exchange market based on genetic programming predictions. Applied Financial Economics. 20(6). 465–476. 5 indexed citations
11.
Álvarez‐Díaz, Marcos. (2009). Evidence against the Spanish stock market efficiency using the Nearest Neighbour method and a cluster forecasting technique. International Journal of Monetary Economics and Finance. 2(1). 16–16.
12.
Álvarez‐Díaz, Marcos, et al.. (2009). The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming. Environmetrics. 22(1). 42–49. 11 indexed citations
13.
Álvarez‐Díaz, Marcos, et al.. (2008). The institutional determinants of CO2 emissions: A computational modelling approach using Artificial Neural Networks and Genetic Programming. 1. 1 indexed citations
14.
Álvarez‐Díaz, Marcos. (2008). A note on forecasting exchange rates using a cluster technique. 1(1). 68–68. 1 indexed citations
15.
Álvarez‐Díaz, Marcos. (2008). Exchange rates forecasting: local or global methods?. Applied Economics. 40(15). 1969–1984. 13 indexed citations
16.
Álvarez‐Díaz, Marcos & Alberto Álvarez. (2005). Genetic multi-model composite forecast for non-linear prediction of exchange rates. Empirical Economics. 30(3). 643–663. 31 indexed citations
17.
Álvarez‐Díaz, Marcos & Alberto Álvarez. (2004). Predicción no-lineal de tipos de cambio. Aplicación de un algoritmo genético. Revista de economía aplicada. 12(35). 55–64. 4 indexed citations
18.
Álvarez‐Díaz, Marcos, et al.. (2003). Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético. Revista Hacienda Pública Española. 164(164). 29–48. 3 indexed citations
19.
Álvarez‐Díaz, Marcos & Alberto Álvarez. (2003). Forecasting exchange rates using genetic algorithms. Applied Economics Letters. 10(6). 319–322. 27 indexed citations
20.
Álvarez‐Díaz, Marcos, et al.. (2002). Modelización semiparamétrica en un ejercicio de valoración contingente con pregunta dicotómica.: Aplicación de un algoritmo genético. Dialnet (Universidad de la Rioja). 18. 1 indexed citations

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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