Iain Brown

1.0k total citations · 1 hit paper
6 papers, 666 citations indexed

About

Iain Brown is a scholar working on Finance, Artificial Intelligence and Accounting. According to data from OpenAlex, Iain Brown has authored 6 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 4 papers in Artificial Intelligence and 3 papers in Accounting. Recurrent topics in Iain Brown's work include Credit Risk and Financial Regulations (4 papers), Imbalanced Data Classification Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Iain Brown is often cited by papers focused on Credit Risk and Financial Regulations (4 papers), Imbalanced Data Classification Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Iain Brown collaborates with scholars based in United Kingdom, United States and Belgium. Iain Brown's co-authors include Christophe Mues, Bart Baesens, David Martens, Edward Tong, Lyn C. Thomas and Raffaella Calabrese and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Forecasting.

In The Last Decade

Iain Brown

6 papers receiving 635 citations

Hit Papers

An experimental comparison of classification algorithms f... 2011 2026 2016 2021 2011 100 200 300 400

Peers

Iain Brown
Comparison fields: 5 of 111
  • Artificial Intelligence 345
  • Accounting 337
  • Finance 205
  • Economics and Econometrics 63
  • Information Systems 57
Replace Steven Finlay with:
Steven Finlay United Kingdom
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Shian-Chang Huang Taiwan
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Emanuela Raffinetti Italy
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Steven Finlay United Kingdom View profile →
Citations per field, relative to Iain Brown
Iain Brown · 1×
Citations per year, relative to Iain Brown
Iain Brown · 1×

Countries citing papers authored by Iain Brown

Since Specialization
Citations

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

Fields of papers citing papers by Iain Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iain Brown

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 22
2 23
3
Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications
2
4 133
5
An experimental comparison of classification algorithms for imbalanced credit scoring data sets breakdown →
485
6
Benchmarking state-of-the-art regression algorithms for loss given default modelling
1

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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