Jonathan Crook

5.5k total citations
95 papers, 3.6k citations indexed

About

Jonathan Crook is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Jonathan Crook has authored 95 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Finance, 52 papers in Accounting and 29 papers in Economics and Econometrics. Recurrent topics in Jonathan Crook's work include Financial Distress and Bankruptcy Prediction (38 papers), Credit Risk and Financial Regulations (34 papers) and Banking stability, regulation, efficiency (27 papers). Jonathan Crook is often cited by papers focused on Financial Distress and Bankruptcy Prediction (38 papers), Credit Risk and Financial Regulations (34 papers) and Banking stability, regulation, efficiency (27 papers). Jonathan Crook collaborates with scholars based in United Kingdom, China and United States. Jonathan Crook's co-authors include Lyn C. Thomas, Anthony Bellotti, David B. Edelman, John Banasik, Galina Andreeva, George A. Overstreet, Vijay S. Desai, Zhiyong Li, Yao Xiao and Raffaella Calabrese and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of Banking & Finance.

In The Last Decade

Jonathan Crook

86 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Crook United Kingdom	28	2.5k	1.6k	1.5k	843	294	95	3.6k
Maytal Saar‐Tsechansky United States	17	1.0k 0.4×	1.2k 0.7×	816 0.6×	630 0.7×	155 0.5×	47	3.0k
Sofus A. Macskassy United States	14	1.0k 0.4×	1.2k 0.8×	792 0.5×	599 0.7×	95 0.3×	44	2.8k
Robert A. Eisenbeis United States	19	1.3k 0.5×	1.2k 0.8×	361 0.2×	613 0.7×	46 0.2×	60	2.1k
Werner Antweiler Canada	16	1.3k 0.5×	1.3k 0.8×	311 0.2×	1.2k 1.5×	170 0.6×	41	3.1k
Martin Eling Switzerland	36	675 0.3×	1.2k 0.8×	166 0.1×	2.1k 2.5×	175 0.6×	164	3.8k
Markus Leippold Switzerland	27	515 0.2×	1.9k 1.2×	240 0.2×	1.1k 1.3×	76 0.3×	154	3.0k
Christophe Mues United Kingdom	24	984 0.4×	593 0.4×	1.5k 1.0×	247 0.3×	200 0.7×	60	3.5k
Herbert Kimura Brazil	25	1.1k 0.4×	887 0.6×	424 0.3×	935 1.1×	219 0.7×	121	3.2k
C. Zopounidis Greece	20	762 0.3×	370 0.2×	530 0.4×	236 0.3×	76 0.3×	59	1.7k
Fotios Pasiouras Greece	32	3.0k 1.2×	3.0k 1.9×	223 0.2×	2.0k 2.3×	180 0.6×	149	4.9k

Countries citing papers authored by Jonathan Crook

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Crook

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Crook

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

All Works

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20 of 20 papers shown

Crook, Jonathan, et al.. (2025). Incorporating behavioural and macroeconomic correlations for the prediction of bank capital for credit risk. Journal of the Operational Research Society. 76(11). 2321–2335.

Crook, Jonathan, et al.. (2024). Improving the accuracy of credit scoring models using an innovative Bayesian informative prior specification method. Journal of the Operational Research Society. 76(2). 229–253.

Calabrese, Raffaella, et al.. (2022). Joint models for longitudinal and discrete survival data in credit scoring. European Journal of Operational Research. 307(3). 1457–1473. 15 indexed citations

Calabrese, Raffaella & Jonathan Crook. (2020). Spatial contagion in mortgage defaults: A spatial dynamic survival model with time and space varying coefficients. European Journal of Operational Research. 287(2). 749–761. 16 indexed citations

Mare, Davide Salvatore, et al.. (2019). Independence in bank governance structure: Empirical evidence of effects on bank risk and performance. Research in International Business and Finance. 52. 101177–101177. 31 indexed citations

Crook, Jonathan, et al.. (2015). Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference. 2(1).

Li, Zhiyong, Jonathan Crook, & Galina Andreeva. (2015). Dynamic Prediction of Financial Distress Using Malmquist DEA. SSRN Electronic Journal. 1 indexed citations

Andreeva, Galina, et al.. (2008). Credit Scoring in the Context of the European Integration: is there a future for generic models?. Journal of financial transformation. 23. 129–134.

Bellotti, Anthony & Jonathan Crook. (2008). Credit scoring with macroeconomic variables using survival analysis. Journal of the Operational Research Society. 60(12). 1699–1707. 168 indexed citations

10.

Crook, Jonathan, David B. Edelman, & Lyn C. Thomas. (2007). Recent developments in consumer credit risk assessment. European Journal of Operational Research. 183(3). 1447–1465. 312 indexed citations

11.

Crook, Jonathan, David B. Edelman, & Lyn C. Thomas. (2006). Developments in consumer credit risk assessment. Health & Place. 83. 103064–103064. 1 indexed citations

12.

Thomas, Lyn C., David B. Edelman, & Jonathan Crook. (2004). Readings in Credit Scoring: Foundations, Developments, and Aims. OUP Catalogue. 6 indexed citations

13.

Crook, Jonathan, et al.. (2001). Editorial overview. Journal of the Operational Research Society. 52(9). 972–973. 3 indexed citations

14.

Crook, Jonathan. (1996). Credit Scoring an overview. European Journal of Operational Research. 2. 152–174. 4 indexed citations

15.

Banasik, John, Jonathan Crook, & Lyn C. Thomas. (1996). Does scoring a subpopulation make a difference. The International Review of Retail Distribution and Consumer Research. 6(2). 180–195. 19 indexed citations

16.

Reekie, W. Duncan & Jonathan Crook. (1995). Managerial economics : a European text. Prentice Hall eBooks. 3 indexed citations

17.

Thomas, Lyn C., Jonathan Crook, & David B. Edelman. (1992). Credit scoring and credit control : based on the proceedings of a conference on credit scoring and credit control, organized by the Institute of Mathematics and Its Applications and held at the University of Edinburgh in August 1989. Clarendon Press eBooks. 1 indexed citations

18.

Schlegelmilch, Bodo B. & Jonathan Crook. (1988). Firm‐level determinants of export intensity. Managerial and Decision Economics. 9(4). 291–300. 60 indexed citations

19.

Crook, Jonathan, et al.. (1982). Isolated nacelle performance - Measurement and simulation. 20th Aerospace Sciences Meeting. 6 indexed citations

20.

Crook, Jonathan, et al.. (1981). Long term stability of graduates' rating of their educational programs: or-what is to be gained by post program follow-up surveys?. PubMed. 20. 155–60.

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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