Credit Scoring

Credit scoring is a statistical methodology and analytical framework employed to assess the creditworthiness and predict the likelihood of default for individuals or entities. This process involves developing and applying quantitative models, typically based on historical financial data and behavioral characteristics, to generate a numerical score that informs financial risk management and lending decisions.

1.6K

Publications

99.6K

Citations

3.6K

Authors

1.4K

Institutions

Publications per year

2017–2026

707

Authors

3.6K

Leading researchers in Credit Scoring. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
LY

Beijing University of Chemical Technology

16

1.2K

15

BB

KU Leuven

16

3.2K

14

KK

City University of Hong Kong

14

1.7K

13

GC

Dalian University of Technology

13

432

12

LC

University of Southampton

12

2.9K

12

Rows per page

1–5 of 3.6K

Institutions

1.4K

Leading universities and research organizations in Credit Scoring. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
KU Leuven

Leuven, Belgium

55

8.7K

22

41

3.2K

20

City University of Hong Kong

Hong Kong, Hong Kong

37

5.5K

19

University of Southampton

Southampton, United Kingdom

35

5.9K

19

New York University

New York, United States

23

3.9K

19

Rows per page

1–5 of 1.4K

Venues

Leading journals and conferences in Credit Scoring. Counts cover only their publications on this concept, not their overall record.