Stefanos Chaliasos
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Software Engineering Research
Papers in
-
- Software Engineering Research 5
- Blockchain Technology Applications and Security 3
- Software 5
- Software Testing and Debugging Techniques 5
- Co-authors
- Arthur Gervais (5 shared papers)Dimitris Mitropoulos (5 shared papers)Kaihua Qin (2 shared papers)Zhipeng Wang (2 shared papers)Diomidis Spinellis (4 shared papers)Benjamin Livshits (4 shared papers)Dawn Song (1 shared paper)Liyi Zhou (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (4 papers)UCL Discovery (University College London) (2 papers)Research Explorer (The University of Manchester) (2 papers)
- Partner nations
- United KingdomGreeceUnited States
In The Last Decade
Stefanos Chaliasos
9 papers receiving 181 citations
Stefanos Chaliasos's Hit Papers
Peers
Comparison fields: 5 of 35
- Software 42
- Information Systems 128
- Management Information Systems 28
- Signal Processing 33
- Computer Networks and Communications 40
Countries citing papers authored by Stefanos Chaliasos
This map shows the geographic impact of Stefanos Chaliasos'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 Stefanos Chaliasos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanos Chaliasos more than expected).
Fields of papers citing papers by Stefanos Chaliasos
This network shows the impact of papers produced by Stefanos Chaliasos. 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 Stefanos Chaliasos. The network helps show where Stefanos Chaliasos may publish in the future.
Co-authors
The 14 scholars most cited alongside Stefanos Chaliasos, 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 | SoK: Decentralized Finance (DeFi) Attacks Hit paper breakdown → | 2023 | 80 |
| 2 | 2023 | 24 | |
| 3 | 2024 | 18 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 17 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 6 |
About Stefanos Chaliasos
Stefanos Chaliasos is a scholar working on Information Systems, Software, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 187 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (5 papers), Software Engineering Research (5 papers), Blockchain Technology Applications and Security (3 papers), Advanced Malware Detection Techniques (3 papers), Software System Performance and Reliability (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Crime, Illicit Activities, and Governance (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Software (42 citations), Information Systems (128 citations), Management Information Systems (28 citations), Signal Processing (33 citations) and Computer Networks and Communications (40 citations). Stefanos Chaliasos has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Arthur Gervais, Dimitris Mitropoulos, Kaihua Qin, Zhipeng Wang, Diomidis Spinellis, Benjamin Livshits, Dawn Song, Liyi Zhou, Yu Wang and Roger Wattenhofer. Their work appears in journals such as Proceedings of the ACM on Programming Languages, UCL Discovery (University College London) and Research Explorer (The University of Manchester).
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.