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Financial Distress and Bankruptcy Prediction

TopicLeading institutions, researchers & key papers

Financial Distress and Bankruptcy Prediction is a topic indexed in ScholarIQ from OpenAlex.

What is known about Financial Distress and Bankruptcy Prediction?

ScholarIQrecord summary

This cluster of papers focuses on the development and comparison of machine learning models, including neural networks, support vector machines, and ensemble methods, for predicting bankruptcy and assessing credit risk. The research explores various techniques for financial distress prediction, credit scoring, and risk assessment in both corporate and consumer contexts.

How many works does Financial Distress and Bankruptcy Prediction have?

ScholarIQindexed works

Financial Distress and Bankruptcy Prediction has 39,695 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Financial Distress and Bankruptcy Prediction have?

ScholarIQcitation count

Financial Distress and Bankruptcy Prediction has 267,344 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Financial Distress and Bankruptcy Prediction?

ScholarIQopenalex

The OpenAlex for Financial Distress and Bankruptcy Prediction is on the source record.

Who are the most-cited researchers behind Financial Distress and Bankruptcy Prediction?

ScholarIQtop researchers by citations
1
Francisco Herrera · Fuzzy Logic and Control Systems
1,308 works139,335 citations
2
Nitesh V. Chawla · Complex Network Analysis Techniques
620 works62,662 citations
3
Taghi M. Khoshgoftaar · Software Engineering Research
793 works60,052 citations
4
Robert S. Kaplan · Accounting and Organizational Management
449 works55,718 citations
5
Andrew W. Lo · Financial Markets and Investment Strategies
668 works53,343 citations

Where is Financial Distress and Bankruptcy Prediction research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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