Alicia Gazely

566 total citations
13 papers, 271 citations indexed

About

Alicia Gazely is a scholar working on General Economics, Econometrics and Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Alicia Gazely has authored 13 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Economics, Econometrics and Finance, 8 papers in Management Science and Operations Research and 8 papers in Economics and Econometrics. Recurrent topics in Alicia Gazely's work include Monetary Policy and Economic Impact (8 papers), Stock Market Forecasting Methods (8 papers) and Market Dynamics and Volatility (6 papers). Alicia Gazely is often cited by papers focused on Monetary Policy and Economic Impact (8 papers), Stock Market Forecasting Methods (8 papers) and Market Dynamics and Volatility (6 papers). Alicia Gazely collaborates with scholars based in United Kingdom, Sweden and Taiwan. Alicia Gazely's co-authors include Jane M. Binner, Andrew W. Mullineux, Shu‐Heng Chen, Muddun Bhuruth and Graham Kendall and has published in prestigious journals such as Applied Economics, Contemporary Economic Policy and European Journal of Finance.

In The Last Decade

Alicia Gazely

12 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Gazely United Kingdom 7 110 98 62 46 41 13 271
Douglas Wood United Kingdom 9 93 0.8× 97 1.0× 12 0.2× 75 1.6× 81 2.0× 18 306
Prateek Sharma India 9 42 0.4× 131 1.3× 30 0.5× 54 1.2× 66 1.6× 28 261
Yinhong Yao China 9 87 0.8× 242 2.5× 27 0.4× 57 1.2× 18 0.4× 20 388
Maoguo Wu China 8 126 1.1× 133 1.4× 24 0.4× 53 1.2× 29 0.7× 48 284
Samit Paul India 9 39 0.4× 146 1.5× 49 0.8× 123 2.7× 67 1.6× 26 333
Steven Freund United States 8 75 0.7× 111 1.1× 25 0.4× 145 3.2× 84 2.0× 18 311
Luciano I. de Castro United States 13 228 2.1× 318 3.2× 57 0.9× 15 0.3× 17 0.4× 60 500
Stanley G. Eakins United States 10 79 0.7× 134 1.4× 38 0.6× 139 3.0× 37 0.9× 19 318
Aquiles Farias Brazil 10 40 0.4× 115 1.2× 46 0.7× 34 0.7× 35 0.9× 20 300
Thanos Verousis United Kingdom 12 44 0.4× 183 1.9× 21 0.3× 89 1.9× 18 0.4× 46 322

Countries citing papers authored by Alicia Gazely

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Gazely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Gazely

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

All Works

13 of 13 papers shown
1.
Gazely, Alicia, et al.. (2010). FORECASTING THE UK/US EXCHANGE RATE WITH DIVISIA MONETARY MODELS AND NEURAL NETWORKS. Scottish Journal of Political Economy. 58(1). 127–152. 11 indexed citations
2.
Binner, Jane M., Alicia Gazely, & Graham Kendall. (2009). An evaluation of UK risky money: an artificial intelligence approach. Global Business and Economics Review. 11(1). 1–1. 2 indexed citations
3.
Binner, Jane M., et al.. (2008). Forecasting exchange rates with linear and nonlinear models. Global Business and Economics Review. 10(4). 414–414. 21 indexed citations
4.
Binner, Jane M., Alicia Gazely, & Graham Kendall. (2008). Evaluating the performance of a EuroDivisia index using artificial intelligence techniques. International Journal of Automation and Computing. 5(1). 58–62. 1 indexed citations
5.
Gazely, Alicia, et al.. (2006). Management Accounting Ed. 1. SAGE Publications eBooks.
6.
Gazely, Alicia, et al.. (2006). Management Accounting. 132 indexed citations
7.
Binner, Jane M., et al.. (2005). A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia. Applied Economics. 37(6). 665–680. 62 indexed citations
8.
Binner, Jane M., et al.. (2004). Financial Innovation and Divisia Money in Taiwan: Comparative Evidence from Neural Network and Vector Error‐Correction Forecasting Models. Contemporary Economic Policy. 22(2). 213–224. 15 indexed citations
9.
Binner, Jane M., Alicia Gazely, & Shu‐Heng Chen. (2002). Financial innovation and Divisia monetary indices in Taiwan: a neural network approach. European Journal of Finance. 8(2). 238–247. 11 indexed citations
10.
Kendall, Graham, Jane M. Binner, & Alicia Gazely. (2001). Evolutionary Strategies: A New Macroeconomic Policy Tool?. IFAC Proceedings Volumes. 34(20). 377–381. 2 indexed citations
11.
Gazely, Alicia & Jane M. Binner. (2000). The application of neural networks to the Divisia index debate: evidence from three countries. Applied Economics. 32(12). 1607–1615. 11 indexed citations
12.
Binner, Jane M. & Alicia Gazely. (1999). A neural network approach to inflation forecasting: the case of Italy. Global Business and Economics Review. 1(1). 76–76. 2 indexed citations
13.
Binner, Jane M. & Alicia Gazely. (1998). A Neural Network Approach to Inflation Forecasting: Recent Evidence for the USA and UK. IFAC Proceedings Volumes. 31(16). 303–308. 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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