Bruce Vanstone

964 total citations
44 papers, 638 citations indexed

About

Bruce Vanstone is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Bruce Vanstone has authored 44 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Finance, 20 papers in Management Science and Operations Research and 18 papers in Economics and Econometrics. Recurrent topics in Bruce Vanstone's work include Financial Markets and Investment Strategies (20 papers), Stock Market Forecasting Methods (19 papers) and Energy Load and Power Forecasting (8 papers). Bruce Vanstone is often cited by papers focused on Financial Markets and Investment Strategies (20 papers), Stock Market Forecasting Methods (19 papers) and Energy Load and Power Forecasting (8 papers). Bruce Vanstone collaborates with scholars based in Australia, United Kingdom and United States. Bruce Vanstone's co-authors include Gavin Finnie, Adrian Gepp, Steven Stern, Terence J. O’Neill, Rui Xue, Geoff Harris, Christopher Bilson, James Todd, Brent Richards and Aditya Agrawal and has published in prestigious journals such as Expert Systems with Applications, Journal of the Operational Research Society and Decision Support Systems.

In The Last Decade

Bruce Vanstone

39 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce Vanstone Australia 14 358 273 186 130 123 44 638
Chih‐Hsiang Chang Taiwan 14 189 0.5× 215 0.8× 227 1.2× 222 1.7× 51 0.4× 45 672
David Quintana Spain 12 281 0.8× 130 0.5× 97 0.5× 48 0.4× 160 1.3× 41 558
Woo Chang Kim South Korea 14 359 1.0× 256 0.9× 330 1.8× 65 0.5× 34 0.3× 75 634
Fernando Fernández Rodríguez Spain 20 383 1.1× 706 2.6× 538 2.9× 111 0.9× 116 0.9× 74 1.1k
Paul D. McNelis United States 14 155 0.4× 399 1.5× 203 1.1× 50 0.4× 84 0.7× 60 676
Marco Corazza Italy 12 185 0.5× 229 0.8× 222 1.2× 45 0.3× 53 0.4× 48 478
Shihao Gu United States 6 687 1.9× 705 2.6× 850 4.6× 196 1.5× 84 0.7× 9 1.3k
Rita L. D’Ecclesia Italy 13 120 0.3× 266 1.0× 145 0.8× 60 0.5× 37 0.3× 37 490
Salvador Torra Spain 14 264 0.7× 208 0.8× 52 0.3× 21 0.2× 98 0.8× 49 650
Ilia Tsetlin Singapore 14 352 1.0× 292 1.1× 67 0.4× 31 0.2× 70 0.6× 35 642

Countries citing papers authored by Bruce Vanstone

Since Specialization
Citations

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

Fields of papers citing papers by Bruce Vanstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruce Vanstone

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce Vanstone. A scholar is included among the top collaborators of Bruce Vanstone 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 Bruce Vanstone. Bruce Vanstone 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.
Gepp, Adrian, et al.. (2025). Benchmarking deep reinforcement learning approaches to trade execution. Pacific-Basin Finance Journal. 94. 102876–102876.
2.
Bilson, Christopher, et al.. (2022). Empirical validation of ELM trained neural networks for financial modelling. Neural Computing and Applications. 35(2). 1581–1605. 10 indexed citations
3.
Todd, James, Adrian Gepp, Brent Richards, & Bruce Vanstone. (2019). Improving mortality models in the ICU with high-frequency data. International Journal of Medical Informatics. 129. 318–323. 5 indexed citations
4.
Gepp, Adrian, Geoff Harris, & Bruce Vanstone. (2019). Financial applications of semidefinite programming: a review and call for interdisciplinary research. Accounting and Finance. 60(4). 3527–3555. 4 indexed citations
5.
Todd, James, Brent Richards, Bruce Vanstone, & Adrian Gepp. (2018). Text Mining and Automation for Processing of Patient Referrals. Applied Clinical Informatics. 9(1). 232–237. 11 indexed citations
6.
Vanstone, Bruce, et al.. (2018). Predicting FTSE 100 returns and volatility using sentiment analysis. Accounting and Finance. 58(S1). 253–274. 30 indexed citations
7.
Larsen, Kai R., et al.. (2014). Theory Identity: A Machine-Learning Approach. Bond University Research Portal (Bond University). 30. 4639–4648. 5 indexed citations
8.
Vanstone, Bruce, et al.. (2012). Risk Management in the Australian Stock Market using Artificial Neural Networks. Bond University Research Portal (Bond University). 13(2). 1–12. 4 indexed citations
9.
Vanstone, Bruce, et al.. (2012). Momentum returns to S&P/ASX 100 constituents. 3(3). 15–18. 5 indexed citations
10.
Vanstone, Bruce, et al.. (2012). Developing High-Frequency Foreign Exchange Trading Systems. SSRN Electronic Journal. 4 indexed citations
11.
Vanstone, Bruce, et al.. (2010). Financial time series forecasting with machine learning techniques: A survey. Bond University Research Portal (Bond University). 25(30). 25–30. 106 indexed citations
12.
Vanstone, Bruce, et al.. (2010). Stockmarket trading using fundamental variables and neural networks. Bond University Research Portal (Bond University). 11(1). 41–47. 3 indexed citations
13.
Vanstone, Bruce, et al.. (2009). Fundamental investment research - do US results apply to Australian investors?. Bond University Research Portal (Bond University). 27(4). 13–16. 1 indexed citations
14.
Vanstone, Bruce, et al.. (2008). Creating short-term stockmarket trading strategies using artificial neural networks. A Case study. Bond University Research Portal (Bond University). 1. 80–84. 2 indexed citations
15.
Vanstone, Bruce & Gavin Finnie. (2008). An empirical methodology for developing stockmarket trading systems using artificial neural networks. Expert Systems with Applications. 36(3). 6668–6680. 103 indexed citations
16.
Vanstone, Bruce & Aditya Agrawal. (2006). Do Wall Street fundamentals work in the ASX200. Bond University Research Portal (Bond University). 2–7. 4 indexed citations
17.
Vanstone, Bruce, et al.. (2005). Evaluating the application of neural networks and fundamental analysis in the Australian stockmarket. Bond University Research Portal (Bond University). 62–63. 13 indexed citations
18.
Vanstone, Bruce, et al.. (2004). Applying Fundamental Analysis and Neural Networks in the Australian Stockmarket. Bond University Research Portal (Bond University). 206. 18 indexed citations
19.
Vanstone, Bruce, et al.. (2004). Enhancing security selection in the Australian Stockmarket using fundamental analysis and neural networks. Bond University Research Portal (Bond University). 305–310. 3 indexed citations
20.
Vanstone, Bruce, et al.. (2003). A survey of the application of soft computing to investment and financial trading. Bond University Research Portal (Bond University). 211–216. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026