George Swales

786 total citations
12 papers, 587 citations indexed

About

George Swales is a scholar working on Management Science and Operations Research, Artificial Intelligence and Accounting. According to data from OpenAlex, George Swales has authored 12 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 3 papers in Artificial Intelligence and 2 papers in Accounting. Recurrent topics in George Swales's work include Stock Market Forecasting Methods (5 papers), Neural Networks and Applications (3 papers) and Fuzzy Logic and Control Systems (2 papers). George Swales is often cited by papers focused on Stock Market Forecasting Methods (5 papers), Neural Networks and Applications (3 papers) and Fuzzy Logic and Control Systems (2 papers). George Swales collaborates with scholars based in United States. George Swales's co-authors include Youngohc Yoon, Thomas M. Margavio, Tor Guimãrães, Young Yoon, Brian A. Maris, James Scott, Fayez A. Elayan and Edward Yi Chang and has published in prestigious journals such as Journal of the Operational Research Society, Decision Support Systems and Financial Analysts Journal.

In The Last Decade

George Swales

11 papers receiving 527 citations

Peers

George Swales

MSOR

AI

ACCOU

EE

EEE

Shian-Chang Huang Taiwan

Stephen P. Curram United Kingdom

Lingling Zhang China

Yakup Selvı Türkiye

Thomas M. Margavio United States

Ralf Östermark Finland

Hennie Daniels Netherlands

Belén Martín-Barragán United Kingdom

Bagus Sartono Indonesia

I. M. Premachandra New Zealand

Shian-Chang Huang Taiwan

George Swales

184 ×0.8

MSOR

188 ×0.9

AI

91 ×0.6

ACCOU

191 ×1.9

EE

79 ×1.2

EEE

Citations per year, relative to George Swales George Swales (= 1×) peers Shian-Chang Huang

Countries citing papers authored by George Swales

Since Specialization

Citations

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

Fields of papers citing papers by George Swales

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Swales

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Swales, George, et al.. (2007). Life Cycle Funds: A "Stage in Life" Investment Alternative. 5(2). 141–150. 1 indexed citations

2.

Chang, Edward Yi & George Swales. (2006). Do Enhanced Index Funds Outperform Pure Index Funds?. 4(2). 128–137.

3.

Swales, George, et al.. (2006). Characteristics and Performance of U.S. Bond Funds in Index Investing. 4(1). 129–138. 1 indexed citations

4.

Yoon, Youngohc & George Swales. (2002). Predicting stock price performance: a neural network approach. BearWorks (Missouri State University). iv. 156–162. 106 indexed citations

5.

Elayan, Fayez A., George Swales, Brian A. Maris, & James Scott. (1998). Market Reactions, Characteristics, and the Effectiveness of Corporate Layoffs. Journal of Business Finance & Accounting. 25(3-4). 329–351. 58 indexed citations

6.

Swales, George. (1996). Comments on the AT&T Investment Challenge. BearWorks (Missouri State University). 1 indexed citations

7.

Yoon, Youngohc, Tor Guimãrães, & George Swales. (1994). Integrating artificial neural networks with rule-based expert systems. Decision Support Systems. 11(5). 497–507. 108 indexed citations

8.

Yoon, Youngohc, George Swales, & Thomas M. Margavio. (1993). A Comparison of Discriminant Analysis versus Artificial Neural Networks. Journal of the Operational Research Society. 44(1). 51–60. 192 indexed citations

9.

Yoon, Youngohc, et al.. (1993). A Comparison of Discriminant Analysis Versus Artificial Neural Networks. Journal of the Operational Research Society. 44(1). 51–60. 15 indexed citations

10.

Yoon, Youngohc, George Swales, & Thomas M. Margavio. (1993). A Comparison of Discriminant Analysis versus Artificial Neural Networks. Journal of the Operational Research Society. 44(1). 51–51. 9 indexed citations

11.

Swales, George & Young Yoon. (1992). Applying Artificial Neural Networks to Investment Analysis. Financial Analysts Journal. 48(5). 78–80. 61 indexed citations

12.

Swales, George. (1988). Another Look at the President’s Letter to Stockholders. Financial Analysts Journal. 44(2). 71–73. 35 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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