Michail Basios
Impact in
- Finance top 10%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
-
- Software Engineering Research 3
-
- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
- Co-authors
- Fan Wu (3 shared papers)Leslie Kanthan (5 shared papers)Carmine Ventre (2 shared papers)Fan Fang (2 shared papers)David Martínez‐Rego (1 shared paper)Baowen Xu (1 shared paper)Santanu Kumar Dash (2 shared papers)Jifeng Xuan (1 shared paper)
- Journals
- European Journal of Finance (1 paper)Financial Innovation (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)
- Partner nations
- United KingdomGreeceAustralia
In The Last Decade
Michail Basios
6 papers receiving 299 citations
Michail Basios's Hit Papers
Peers
Comparison fields: 5 of 47
- Finance 87
- Information Systems 185
- Management Science and Operations Research 83
- Economics and Econometrics 152
- Management Information Systems 37
Countries citing papers authored by Michail Basios
This map shows the geographic impact of Michail Basios'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 Michail Basios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michail Basios more than expected).
Fields of papers citing papers by Michail Basios
This network shows the impact of papers produced by Michail Basios. 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 Michail Basios. The network helps show where Michail Basios may publish in the future.
Co-authors
The 24 scholars most cited alongside Michail Basios, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cryptocurrency trading: a comprehensive survey Hit paper breakdown → | 2022 | 244 |
| 2 | 2021 | 56 | |
| 3 | 2020 | 7 | |
| 4 | 2021 | 3 | |
| 5 | 2013 | 2 | |
| 6 | 2013 | 1 | |
| 7 | 2020 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2020 | 0 |
About Michail Basios
Michail Basios is a scholar working on Information Systems, Computer Networks and Communications, Software, Signal Processing and Hardware and Architecture, having authored 9 papers that have together received 313 indexed citations. Recurring topics across this work include Software Engineering Research (3 papers), Software Testing and Debugging Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Market Dynamics and Volatility (2 papers), Advanced Malware Detection Techniques (2 papers), Online Learning and Analytics (1 paper), Software System Performance and Reliability (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Finance (87 citations), Information Systems (185 citations), Management Science and Operations Research (83 citations), Economics and Econometrics (152 citations) and Management Information Systems (37 citations). Michail Basios has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Fan Wu, Leslie Kanthan, Carmine Ventre, Fan Fang, David Martínez‐Rego, Baowen Xu, Santanu Kumar Dash, Jifeng Xuan, Xiangyang Jia and Christos Douligeris. Their work appears in journals such as European Journal of Finance, Financial Innovation and ACM SIGSOFT Software Engineering Notes.
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.