Michael Kampouridis
Impact in
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- Stock Market Forecasting Methods
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
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- Stock Market Forecasting Methods 30
- Forecasting Techniques and Applications 6
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- Metaheuristic Optimization Algorithms Research 22
- Evolutionary Algorithms and Applications 19
- Co-authors
- Alex A. Freitas (6 shared papers)Antonis Alexandridis (4 shared papers)Fernando E. B. Otero (6 shared papers)Edward Tsang (8 shared papers)Anthony Brabazon (1 shared paper)Michael O’Neill (1 shared paper)Abdullah Alsheddy (2 shared papers)Shu‐Heng Chen (2 shared papers)
- Journals
- Expert Systems with Applications (4 papers)Artificial Intelligence Review (2 papers)Applied Intelligence (1 paper)International Journal of Forecasting (1 paper)Big Data and Cognitive Computing (1 paper)
- Partner nations
- United KingdomSaudi ArabiaTaiwan
In The Last Decade
Michael Kampouridis
45 papers receiving 519 citations
Peers
Comparison fields: 5 of 71
- Management Science and Operations Research 241
- Environmental Engineering 124
- Finance 84
- Economics and Econometrics 147
- Artificial Intelligence 167
Countries citing papers authored by Michael Kampouridis
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
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-authors
The 21 scholars most cited alongside Michael Kampouridis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 159 | |
| 2 | 2016 | 41 | |
| 3 | 2019 | 28 | |
| 4 | 2010 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 7 |
About Michael Kampouridis
Michael Kampouridis is a scholar working on Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, Electrical and Electronic Engineering and Finance, having authored 50 papers that have together received 547 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (30 papers), Metaheuristic Optimization Algorithms Research (22 papers), Evolutionary Algorithms and Applications (19 papers), Complex Systems and Time Series Analysis (12 papers), Energy Load and Power Forecasting (11 papers), Financial Markets and Investment Strategies (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Forecasting Techniques and Applications (6 papers). The work is most often cited by research in Management Science and Operations Research (241 citations), Environmental Engineering (124 citations), Finance (84 citations), Economics and Econometrics (147 citations) and Artificial Intelligence (167 citations). Michael Kampouridis has collaborated with scholars based in United Kingdom, Saudi Arabia and Taiwan. Frequent co-authors include Alex A. Freitas, Antonis Alexandridis, Fernando E. B. Otero, Edward Tsang, Anthony Brabazon, Michael O’Neill, Abdullah Alsheddy, Shu‐Heng Chen, Panagiotis Kanellopoulos and Delaram Jarchi. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence Review, Applied Intelligence, International Journal of Forecasting and Big Data and Cognitive Computing.
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.