M.C. So

19 papers receiving 276 citations

Peers

M.C. So
Comparison fields: 5 of 53
  • Management Information Systems 168
  • Organizational Behavior and Human Resource Management 67
  • Strategy and Management 95
  • Marketing 55
  • Accounting 53
Replace Franco Visani with:
Franco Visani Italy
Miroslav Špaček Czechia
Kamil J. Mizgier Switzerland
Klaus Moeller Germany
Fujun Lai China
Ariel K.H. Lui Hong Kong
Robert Wiedmer United States
Li Y China
Rashmi Ranjan Panigrahi India
Ryan Sougstad United States
M.C. So relative to Franco Visani Italy Franco Visani's profile →
Citations per field
00.5×1.5×2.4×
Franco Visani · 1×
Citations per year

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-authors

The 15 scholars most cited alongside M.C. So, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.C. So Line = papers co-authored together M.C. So links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004148
2 200565
3 201121
4 201316
5 201514
6 20078
7 20198
8 20106
9 20156
10 20234
11
Customer migration, campaign budgeting, revenue estimation: the elasticity of Markov decision process on customer lifetime value
20044
12 20224
13 20153
14 20202
15 20162
16 20192
17
Generation of fixed-length duties by GP formulation
20031
18 20201
19
Optimizing credit limit policies to maximise customer lifetime value
20071
20 20120

About M.C. So

M.C. So is a scholar working on Finance, Accounting, Economics and Econometrics, Marketing and Management Information Systems, having authored 21 papers that have together received 316 indexed citations. Recurring topics across this work include Banking stability, regulation, efficiency (7 papers), Financial Distress and Bankruptcy Prediction (7 papers), Credit Risk and Financial Regulations (5 papers), Customer churn and segmentation (3 papers), Outsourcing and Supply Chain Management (2 papers), Quality and Supply Management (2 papers), Insurance and Financial Risk Management (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Management Information Systems (168 citations), Organizational Behavior and Human Resource Management (67 citations), Strategy and Management (95 citations), Marketing (55 citations) and Accounting (53 citations). M.C. So has collaborated with scholars based in United Kingdom, Hong Kong and South Korea. Frequent co-authors include Photis M. Panayides, Lyn C. Thomas, Christophe Mues, Hsin‐Vonn Seow, Michael K. Ng, Adiel Teixeira de Almeida Filho, Wai‐Ki Ching, Ki Mun Jung, Taufiq Choudhry and Paul Harrigan. Their work appears in journals such as Journal of the Operational Research Society, European Journal of Operational Research, International Journal of Forecasting, Maritime Economics & Logistics and Decision Support Systems.

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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