M.C. So

432 total citations
21 papers, 315 citations indexed

About

M.C. So is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, M.C. So has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 8 papers in Accounting and 5 papers in Economics and Econometrics. Recurrent topics in M.C. So's work include Banking stability, regulation, efficiency (7 papers), Financial Distress and Bankruptcy Prediction (7 papers) and Credit Risk and Financial Regulations (5 papers). M.C. So is often cited by papers focused on Banking stability, regulation, efficiency (7 papers), Financial Distress and Bankruptcy Prediction (7 papers) and Credit Risk and Financial Regulations (5 papers). M.C. So collaborates with scholars based in United Kingdom, Hong Kong and South Korea. M.C. So's co-authors include Photis M. Panayides, Lyn C. Thomas, Christophe Mues, Hsin‐Vonn Seow, Michael K. Ng, Adiel Teixeira de Almeida Filho, Ki Mun Jung, Wai‐Ki Ching, Taufiq Choudhry and Antonio Martínez-Sykora and has published in prestigious journals such as European Journal of Operational Research, Pattern Recognition and Journal of the Operational Research Society.

In The Last Decade

M.C. So

19 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.C. So United Kingdom	7	167	95	66	55	53	21	315
Ryan Sougstad United States	7	196 1.2×	148 1.6×	50 0.8×	76 1.4×	19 0.4×	9	452
Franco Visani Italy	10	110 0.7×	66 0.7×	31 0.5×	39 0.7×	29 0.5×	20	275
Amir M. Hormozi United States	10	123 0.7×	102 1.1×	65 1.0×	35 0.6×	32 0.6×	13	322
Ricardo Costa Climent Sweden	11	85 0.5×	165 1.7×	22 0.3×	92 1.7×	29 0.5×	20	364
Ariel K.H. Lui Hong Kong	6	64 0.4×	75 0.8×	19 0.3×	32 0.6×	29 0.5×	10	262
Chin S. Ou Taiwan	8	194 1.2×	209 2.2×	22 0.3×	31 0.6×	60 1.1×	9	381
Ian Blackman United Kingdom	7	127 0.8×	160 1.7×	38 0.6×	40 0.7×	29 0.5×	15	286
P.M.A. Ribbers Netherlands	11	299 1.8×	147 1.5×	35 0.5×	46 0.8×	12 0.2×	38	442
Lauren Cooper United States	7	155 0.9×	64 0.7×	14 0.2×	25 0.5×	117 2.2×	15	368
Kamil J. Mizgier Switzerland	10	228 1.4×	294 3.1×	17 0.3×	26 0.5×	23 0.4×	14	414

Countries citing papers authored by M.C. So

Since Specialization

Citations

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

Fields of papers citing papers by M.C. So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. So. 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 M.C. So. The network helps show where M.C. So may publish in the future.

Co-authorship network of co-authors of M.C. So

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mues, Christophe, et al.. (2023). Modelling credit card exposure at default using vine copula quantile regression. European Journal of Operational Research. 311(1). 387–399. 4 indexed citations

Mues, Christophe, et al.. (2022). A mixture model for credit card exposure at default using the GAMLSS framework. International Journal of Forecasting. 39(1). 503–518. 4 indexed citations

Martínez-Sykora, Antonio, M.C. So, Christine Currie, Christopher Bayliss, & Julia A. Bennell. (2020). Optimizing pricing and packing of variable-sized cargo. IMA Journal of Management Mathematics. 32(3). 303–327. 2 indexed citations

So, M.C., et al.. (2020). Modelling the lifetime of banknotes with a semi-Markov chain model. Journal of the Operational Research Society. 73(3). 497–508. 1 indexed citations

So, M.C., Christophe Mues, Adiel Teixeira de Almeida Filho, & Lyn C. Thomas. (2019). Debtor level collection operations using Bayesian dynamic programming. Journal of the Operational Research Society. 70(8). 1332–1348. 8 indexed citations

Bayliss, Christopher, Julia A. Bennell, Christine Currie, Antonio Martínez-Sykora, & M.C. So. (2016). A Simheuristic approach to the vehicle ferry revenue management problem. 2016 Winter Simulation Conference (WSC). 2335–2346. 2 indexed citations

Jung, Ki Mun, Lyn C. Thomas, & M.C. So. (2015). When to rebuild or when to adjust scorecards. Journal of the Operational Research Society. 66(10). 1656–1668. 6 indexed citations

So, M.C., et al.. (2015). Lending decisions with limits on capital available: The polygamous marriage problem. European Journal of Operational Research. 249(2). 407–416. 3 indexed citations

Thomas, Lyn C., et al.. (2015). Modelling repayment patterns in the collections process for unsecured consumer debt: A case study. European Journal of Operational Research. 249(2). 476–486. 14 indexed citations

10.

So, M.C., et al.. (2013). Stress testing credit card portfolios: an application in South Africa. Journal of the Operational Research Society. 65(3). 351–362.

11.

So, M.C., Lyn C. Thomas, Hsin‐Vonn Seow, & Christophe Mues. (2013). Using a transactor/revolver scorecard to make credit and pricing decisions. Decision Support Systems. 59. 143–151. 16 indexed citations

12.

Jung, Ki Mun, Lyn C. Thomas, & M.C. So. (2012). Time varying or static cut-offs for credit scorecards. Journal of the Operational Research Society. 64(9). 1299–1306.

13.

So, M.C. & Lyn C. Thomas. (2011). Modelling the profitability of credit cards by Markov decision processes. European Journal of Operational Research. 212(1). 123–130. 21 indexed citations

14.

So, M.C. & Lyn C. Thomas. (2010). Modeling and model validation of the impact of the economy on the credit risk of credit card portfolios. The Journal of Risk Model Validation. 4(4). 93–126. 6 indexed citations

15.

Ng, Michael K., et al.. (2007). A semi-supervised regression model for mixed numerical and categorical variables. Pattern Recognition. 40(6). 1745–1752. 8 indexed citations

16.

So, M.C. & Lyn C. Thomas. (2007). Optimizing credit limit policies to maximise customer lifetime value. ePrints Soton (University of Southampton). 1 indexed citations

17.

Panayides, Photis M. & M.C. So. (2005). The Impact of Integrated Logistics Relationships on Third-Party Logistics Service Quality and Performance. Maritime Economics & Logistics. 7(1). 36–55. 64 indexed citations

18.

Ng, Michael K. & M.C. So. (2004). Customer migration, campaign budgeting, revenue estimation: the elasticity of Markov decision process on customer lifetime value. ePrints Soton (University of Southampton). 4 indexed citations

19.

Panayides, Photis M. & M.C. So. (2004). Logistics service provider–client relationships. Transportation Research Part E Logistics and Transportation Review. 41(3). 179–200. 148 indexed citations

20.

So, M.C., et al.. (2003). Generation of fixed-length duties by GP formulation. ePrints Soton (University of Southampton). 1 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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