Christopher Bilson

493 total citations
8 papers, 311 citations indexed

About

Christopher Bilson is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Christopher Bilson has authored 8 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 4 papers in Economics and Econometrics and 2 papers in General Economics, Econometrics and Finance. Recurrent topics in Christopher Bilson's work include Financial Markets and Investment Strategies (4 papers), Risk and Safety Analysis (2 papers) and Market Dynamics and Volatility (2 papers). Christopher Bilson is often cited by papers focused on Financial Markets and Investment Strategies (4 papers), Risk and Safety Analysis (2 papers) and Market Dynamics and Volatility (2 papers). Christopher Bilson collaborates with scholars based in Australia and United Kingdom. Christopher Bilson's co-authors include Timothy J. Brailsford, Vincent J. Hooper, Adrian Gepp, Bruce Vanstone, Steven Stern, Geoff Harris and Sirimon Treepongkaruna and has published in prestigious journals such as Journal of the Operational Research Society, Neural Computing and Applications and International Review of Financial Analysis.

In The Last Decade

Christopher Bilson

8 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Bilson Australia	5	192	185	117	88	36	8	311
Stefano d’Addona Italy	6	135 0.7×	137 0.7×	89 0.8×	62 0.7×	33 0.9×	30	273
Andrew W. Mullineux United Kingdom	11	159 0.8×	112 0.6×	97 0.8×	77 0.9×	17 0.5×	29	271
Yang-Cheng Lu Taiwan	11	182 0.9×	172 0.9×	70 0.6×	105 1.2×	39 1.1×	39	310
Chen Gu China	9	160 0.8×	188 1.0×	59 0.5×	93 1.1×	27 0.8×	25	292
Chardin Wese Simen United Kingdom	13	285 1.5×	275 1.5×	106 0.9×	58 0.7×	15 0.4×	34	395
Hitesh Doshi United States	9	189 1.0×	304 1.6×	65 0.6×	178 2.0×	47 1.3×	28	427
Ivan Indriawan New Zealand	9	311 1.6×	205 1.1×	74 0.6×	60 0.7×	26 0.7×	42	381
Justin Birru United States	10	201 1.0×	357 1.9×	56 0.5×	161 1.8×	20 0.6×	26	423
Alexander Karminsky Russia	9	99 0.5×	111 0.6×	39 0.3×	87 1.0×	57 1.6×	45	271
Michał Dzieliński Sweden	6	211 1.1×	140 0.8×	54 0.5×	44 0.5×	22 0.6×	15	289

Countries citing papers authored by Christopher Bilson

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Bilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Bilson

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

All Works

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8 of 8 papers shown

1.

Bilson, Christopher, et al.. (2023). Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study. Pacific-Basin Finance Journal. 79. 102011–102011. 4 indexed citations

2.

Bilson, Christopher, et al.. (2023). Deep learning applications in investment portfolio management: a systematic literature review. Journal of Accounting Literature. 47(2). 245–276. 2 indexed citations

3.

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

4.

Bilson, Christopher, et al.. (2022). Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report. Pacific-Basin Finance Journal. 77. 101906–101906. 9 indexed citations

5.

Bilson, Christopher, et al.. (2022). The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors. Journal of the Operational Research Society. 74(1). 374–402. 19 indexed citations

6.

Bilson, Christopher, et al.. (2008). Pricing Bonds in the Australian Market. Australian Journal of Management. 33(1). 123–143. 4 indexed citations

7.

Bilson, Christopher, Timothy J. Brailsford, & Vincent J. Hooper. (2002). The explanatory power of political risk in emerging markets. International Review of Financial Analysis. 11(1). 1–27. 104 indexed citations

8.

Bilson, Christopher, Timothy J. Brailsford, & Vincent J. Hooper. (2001). Selecting macroeconomic variables as explanatory factors of emerging stock market returns. Pacific-Basin Finance Journal. 9(4). 401–426. 159 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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