Georgios Sermpinis

1.5k total citations
60 papers, 990 citations indexed

About

Georgios Sermpinis is a scholar working on Management Science and Operations Research, Finance and Economics and Econometrics. According to data from OpenAlex, Georgios Sermpinis has authored 60 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Management Science and Operations Research, 27 papers in Finance and 26 papers in Economics and Econometrics. Recurrent topics in Georgios Sermpinis's work include Stock Market Forecasting Methods (37 papers), Financial Markets and Investment Strategies (18 papers) and Complex Systems and Time Series Analysis (12 papers). Georgios Sermpinis is often cited by papers focused on Stock Market Forecasting Methods (37 papers), Financial Markets and Investment Strategies (18 papers) and Complex Systems and Time Series Analysis (12 papers). Georgios Sermpinis collaborates with scholars based in United Kingdom, Greece and Australia. Georgios Sermpinis's co-authors include Charalampos Stasinakis, Christian L. Dunis, Andreas Karathanasopoulos, Jason Laws, Konstantinos Theofilatos, Konstantinos Theofilatos, Efstratios F. Georgopoulos, Duc Khuong Nguyen, Thanos Verousis and Serafeim Tsoukas 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

Georgios Sermpinis

57 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgios Sermpinis United Kingdom 18 554 433 271 221 170 60 990
Kyong Joo Oh South Korea 20 563 1.0× 346 0.8× 256 0.9× 207 0.9× 171 1.0× 71 1.2k
Andreas Karathanasopoulos United Arab Emirates 16 382 0.7× 340 0.8× 232 0.9× 140 0.6× 128 0.8× 49 752
Mark T. Leung United States 15 910 1.6× 491 1.1× 273 1.0× 319 1.4× 366 2.2× 32 1.4k
Juho Kanniainen Finland 15 535 1.0× 420 1.0× 392 1.4× 176 0.8× 214 1.3× 82 1.1k
Charalampos Stasinakis United Kingdom 13 320 0.6× 251 0.6× 134 0.5× 90 0.4× 105 0.6× 34 591
Rongda Chen China 17 189 0.3× 515 1.2× 279 1.0× 172 0.8× 104 0.6× 68 1.0k
Christian L. Dunis United Kingdom 20 675 1.2× 675 1.6× 603 2.2× 225 1.0× 166 1.0× 64 1.2k
Nicolas Huck France 8 459 0.8× 392 0.9× 412 1.5× 80 0.4× 105 0.6× 19 785
Melek Acar Boyacıoğlu Türkiye 6 791 1.4× 405 0.9× 277 1.0× 280 1.3× 284 1.7× 18 1.2k
Théophilos Papadimitriou Greece 16 245 0.4× 445 1.0× 181 0.7× 127 0.6× 127 0.7× 96 979

Countries citing papers authored by Georgios Sermpinis

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Sermpinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Sermpinis

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Sermpinis. A scholar is included among the top collaborators of Georgios Sermpinis 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 Georgios Sermpinis. Georgios Sermpinis 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.
Gerding, Enrico, et al.. (2025). Deep Learning for Bond Yield Forecasting: The LSTM ‐ LagLasso. International Journal of Finance & Economics. 31(1). 1269–1283.
2.
Haratizadeh, Saman, et al.. (2025). A temporal graph-based contrastive approach for financial time series forecasting. Engineering Applications of Artificial Intelligence. 153. 110834–110834.
3.
Sermpinis, Georgios, et al.. (2024). Industry return prediction via interpretable deep learning. European Journal of Operational Research. 321(1). 257–268. 4 indexed citations
4.
Sermpinis, Georgios, et al.. (2024). Heterogeneous impact of cost of carry on corporate money demand. European Financial Management. 31(1). 400–426. 2 indexed citations
5.
Hsu, Po‐Hsuan, et al.. (2024). Mutual Funds’ Conditional Performance Free of Data Snooping Bias. Journal of Financial and Quantitative Analysis. 60(3). 1373–1400.
6.
Serletis, Apostolos, et al.. (2024). Money demand stability: New evidence from transfer entropy. International Economics. 179. 100524–100524. 2 indexed citations
7.
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
8.
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
9.
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
10.
Li, Wei, Florentina Paraschiv, & Georgios Sermpinis. (2021). A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection. SSRN Electronic Journal. 2 indexed citations
11.
Cuthbertson, Keith, Ioannis Kyriakou, Georgios Sermpinis, & Athanasios A. Pantelous. (2019). Special issue of the International Journal of Finance and Economics innovations in finance, economics, risk management, and policy. International Journal of Finance & Economics. 24(4). 1407–1408. 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.
Sermpinis, Georgios, Serafeim Tsoukas, & Ping Zhang. (2018). Modelling market implied ratings using LASSO variable selection techniques. Journal of Empirical Finance. 48. 19–35. 38 indexed citations
14.
Verousis, Thanos, Pietro Perotti, & Georgios Sermpinis. (2017). One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations. Review of Quantitative Finance and Accounting. 50(2). 353–392. 15 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, 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
17.
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
18.
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
19.
Sermpinis, Georgios, Konstantinos Theofilatos, Andreas Karathanasopoulos, Efstratios F. Georgopoulos, & Christian L. Dunis. (2012). Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization. European Journal of Operational Research. 225(3). 528–540. 114 indexed citations
20.
Dunis, Christian L., Jason Laws, & Georgios Sermpinis. (2010). Modelling commodity value at risk with higher order neural networks. Applied Financial Economics. 20(7). 585–600. 12 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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