Charalampos Stasinakis

945 total citations
34 papers, 591 citations indexed

About

Charalampos Stasinakis is a scholar working on Management Science and Operations Research, Economics and Econometrics and Finance. According to data from OpenAlex, Charalampos Stasinakis has authored 34 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 14 papers in Economics and Econometrics and 13 papers in Finance. Recurrent topics in Charalampos Stasinakis's work include Stock Market Forecasting Methods (18 papers), Financial Markets and Investment Strategies (7 papers) and FinTech, Crowdfunding, Digital Finance (6 papers). Charalampos Stasinakis is often cited by papers focused on Stock Market Forecasting Methods (18 papers), Financial Markets and Investment Strategies (7 papers) and FinTech, Crowdfunding, Digital Finance (6 papers). Charalampos Stasinakis collaborates with scholars based in United Kingdom, France and Greece. Charalampos Stasinakis's co-authors include Georgios Sermpinis, Konstantinos Theofilatos, Andreas Karathanasopoulos, Christian L. Dunis, Duc Khuong Nguyen, Jason Laws, Thanos Verousis, Yang Zhao, Yukun Shi and Rafael Rosillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Charalampos Stasinakis

34 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charalampos Stasinakis United Kingdom 13 320 251 134 105 90 34 591
Indranil Ghosh India 18 316 1.0× 431 1.7× 113 0.8× 118 1.1× 91 1.0× 63 842
Andreas Karathanasopoulos United Arab Emirates 16 382 1.2× 340 1.4× 232 1.7× 128 1.2× 140 1.6× 49 752
Germán G. Creamer United States 12 217 0.7× 247 1.0× 112 0.8× 145 1.4× 143 1.6× 51 655
Helu Xiao China 15 458 1.4× 311 1.2× 173 1.3× 73 0.7× 43 0.5× 44 691
Georgios Sermpinis United Kingdom 18 554 1.7× 433 1.7× 271 2.0× 170 1.6× 221 2.5× 60 990
Nicolas Huck France 8 459 1.4× 392 1.6× 412 3.1× 105 1.0× 80 0.9× 19 785
M. Thenmozhi India 15 303 0.9× 347 1.4× 200 1.5× 111 1.1× 63 0.7× 72 864
Edward W. Sun France 13 132 0.4× 310 1.2× 267 2.0× 50 0.5× 41 0.5× 44 628
Guowen Li China 8 183 0.6× 197 0.8× 92 0.7× 62 0.6× 67 0.7× 19 503
Weiguo Zhang China 12 145 0.5× 229 0.9× 210 1.6× 40 0.4× 33 0.4× 25 430

Countries citing papers authored by Charalampos Stasinakis

Since Specialization
Citations

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

Fields of papers citing papers by Charalampos Stasinakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charalampos Stasinakis

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

All Works

20 of 20 papers shown
1.
Li, Yixuan, et al.. (2025). Fintech, financial development and banking efficiency: evidence from Chinese commercial banks. European Journal of Finance. 31(10). 1245–1295. 3 indexed citations
2.
Sermpinis, Georgios, et al.. (2024). Sustainable Portfolio Construction via Machine Learning: ESG, SDG and Sentiment. European Financial Management. 31(3). 1148–1169. 4 indexed citations
3.
Sun, Xiaotong, Charalampos Stasinakis, & Georgios Sermpinis. (2024). Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls. Journal of Financial Stability. 73. 101286–101286. 9 indexed citations
4.
Sermpinis, Georgios, et al.. (2023). Corporate Social Responsibility and Firm Survival: Evidence from Chinese Listed Firms. British Journal of Management. 35(2). 1014–1039. 4 indexed citations
5.
Li, Yixuan, et al.. (2023). A Comprehensive Analysis for P2P Lending Credit Risk Assessment on Imbalanced Data and Feature Selection. SSRN Electronic Journal. 1 indexed citations
6.
Kyriakou, Ioannis, et al.. (2023). Cryptocurrencies and Lucky Factors: The value of technical and fundamental analysis. International Journal of Finance & Economics. 29(4). 4073–4104. 4 indexed citations
7.
Stasinakis, Charalampos, et al.. (2022). A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance. SHILAP Revista de lepidopterología. 4(1). 184–207. 32 indexed citations
8.
Nguyen, Duc Khuong, et al.. (2021). Preface: neural networks, nonlinear dynamics, and risk management in banking and finance. Annals of Operations Research. 297(1-2). 1–2. 1 indexed citations
9.
Li, Yixuan, et al.. (2021). Fintech and Banking Efficiency: Evidence from Chinese Commercial Banks. SSRN Electronic Journal. 10 indexed citations
10.
Sermpinis, Georgios, et al.. (2021). Trading the foreign exchange market with technical analysis and Bayesian Statistics. Journal of Empirical Finance. 63. 230–251. 9 indexed citations
11.
Sermpinis, Georgios, et al.. (2020). Deep Reinforcement Learning and Genetic Algorithm for a Pairs Trading Task on commodities. SSRN Electronic Journal. 1 indexed citations
12.
Sermpinis, Georgios, et al.. (2018). Technical Analysis and Discrete False Discovery Rate: Evidence from MSCI Indices. SSRN Electronic Journal. 1 indexed citations
13.
Stasinakis, Charalampos, et al.. (2018). Forecasting government bond spreads with heuristic models: evidence from the Eurozone periphery. Annals of Operations Research. 282(1-2). 87–118. 4 indexed citations
14.
Stasinakis, Charalampos, et al.. (2017). Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development. Expert Systems with Applications. 96. 284–301. 88 indexed citations
15.
Sermpinis, Georgios, et al.. (2017). Trading the Foreign Exchange Market with Technical Analysis and Bayesian Statistics. SSRN Electronic Journal. 1 indexed citations
16.
Sermpinis, Georgios, et al.. (2017). Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds. European Journal of Operational Research. 263(2). 540–558. 13 indexed citations
17.
Sermpinis, Georgios, Charalampos Stasinakis, Rafael Rosillo, & David de la Fuente. (2016). European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression. European Journal of Operational Research. 258(1). 372–384. 14 indexed citations
18.
Stasinakis, Charalampos, et al.. (2016). Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities. Quantitative Finance. 16(12). 1901–1915. 12 indexed citations
19.
Karathanasopoulos, Andreas, et al.. (2015). Stock market prediction using evolutionary support vector machines: an application to the ASE20 index. European Journal of Finance. 22(12). 1145–1163. 16 indexed citations
20.
Sermpinis, Georgios, Charalampos Stasinakis, Konstantinos Theofilatos, & Andreas Karathanasopoulos. (2014). Inflation and Unemployment Forecasting with Genetic Support Vector Regression. Journal of Forecasting. 33(6). 471–487. 25 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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Rankless by CCL
2026