Michael Kampouridis

961 total citations
50 papers, 540 citations indexed

About

Michael Kampouridis is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Michael Kampouridis has authored 50 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 24 papers in Artificial Intelligence and 18 papers in Economics and Econometrics. Recurrent topics in Michael Kampouridis's work include Stock Market Forecasting Methods (30 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (19 papers). Michael Kampouridis is often cited by papers focused on Stock Market Forecasting Methods (30 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (19 papers). Michael Kampouridis collaborates with scholars based in United Kingdom, Saudi Arabia and Mexico. Michael Kampouridis's co-authors include Alex A. Freitas, Antonis Alexandridis, Fernando E. B. Otero, Edward Tsang, Anthony Brabazon, Michael O’Neill, Abdullah Alsheddy, Panagiotis Kanellopoulos, Delaram Jarchi and Shu‐Heng Chen and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Michael Kampouridis

45 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kampouridis United Kingdom 13 238 167 148 145 122 50 540
Bonsoo Koo Australia 8 138 0.6× 84 0.5× 101 0.7× 63 0.4× 44 0.4× 24 466
Xuan Huang China 16 125 0.5× 31 0.2× 536 3.6× 60 0.4× 51 0.4× 33 806
Minakhi Rout India 13 205 0.9× 187 1.1× 81 0.5× 119 0.8× 19 0.2× 43 488
Estela Bee Dagum Italy 13 164 0.7× 69 0.4× 190 1.3× 56 0.4× 19 0.2× 43 580
Sibarama Panigrahi India 14 286 1.2× 153 0.9× 88 0.6× 232 1.6× 51 0.4× 42 658
Olaf Korn Germany 12 162 0.7× 121 0.7× 291 2.0× 52 0.4× 33 0.3× 47 720
Maria Teresa Vespucci Italy 13 72 0.3× 71 0.4× 58 0.4× 304 2.1× 25 0.2× 44 489
Konstantinos Benidis Hong Kong 8 188 0.8× 119 0.7× 37 0.3× 90 0.6× 22 0.2× 12 448
Siegfried Hörmann United States 18 173 0.7× 98 0.6× 388 2.6× 36 0.2× 143 1.2× 42 1.1k
Ulrich Anders Germany 5 114 0.5× 127 0.8× 36 0.2× 46 0.3× 32 0.3× 5 338

Countries citing papers authored by Michael Kampouridis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kampouridis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kampouridis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kampouridis. A scholar is included among the top collaborators of Michael Kampouridis 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 Michael Kampouridis. Michael Kampouridis 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.
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Kampouridis, Michael, et al.. (2025). A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading. Knowledge-Based Systems. 311. 113054–113054.
3.
Trejo, Luis A., et al.. (2024). Expanding a machine learning class towards its application to the stock market forecast. Applied Intelligence. 55(1). 1 indexed citations
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Trejo, Luis A., et al.. (2024). A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data and Cognitive Computing. 8(4). 34–34. 3 indexed citations
6.
Rayment, George E. & Michael Kampouridis. (2023). High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. 387–394. 1 indexed citations
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Kampouridis, Michael, et al.. (2023). Enhanced Strongly typed Genetic Programming for Algorithmic Trading. Proceedings of the Genetic and Evolutionary Computation Conference. 1055–1063. 2 indexed citations
9.
Kampouridis, Michael, et al.. (2023). Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. 1–8. 2 indexed citations
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Kampouridis, Michael, et al.. (2023). An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs. Expert Systems with Applications. 235. 121102–121102. 8 indexed citations
12.
Kampouridis, Michael, et al.. (2022). Optimizing Mixed-Asset Portfolios Involving REITs. 1–8. 8 indexed citations
13.
Kampouridis, Michael, et al.. (2022). Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. 1–8. 4 indexed citations
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Kampouridis, Michael, et al.. (2021). Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. International Journal of Intelligent Systems. 36(12). 7609–7640. 6 indexed citations
16.
Kampouridis, Michael, et al.. (2021). Machine learning classification and regression models for predicting directional changes trend reversal in FX markets. Expert Systems with Applications. 173. 114645–114645. 17 indexed citations
17.
Kampouridis, Michael, et al.. (2017). An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Systems with Applications. 85. 169–181. 157 indexed citations
18.
Kampouridis, Michael, et al.. (2015). Optimising the deployment of fibre optics using Guided Local Search. Kent Academic Repository (University of Kent). 16. 799–806. 3 indexed citations
19.
Kampouridis, Michael & Edward Tsang. (2012). Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. International Journal of Computational Intelligence Systems. 5(3). 530–530. 14 indexed citations
20.
Kampouridis, Michael, Shu‐Heng Chen, & Edward Tsang. (2011). Market fraction hypothesis: A proposed test. International Review of Financial Analysis. 23. 41–54. 6 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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