Marie Vasek
- Information Systems top 5%
- Spam and Phishing Detection 12
- Cybercrime and Law Enforcement Studies 8
- Blockchain Technology Applications and Security 7
-
- Advanced Malware Detection Techniques 6
-
- FinTech, Crowdfunding, Digital Finance 2
-
- Network Security and Intrusion Detection 2
-
- Internet Traffic Analysis and Secure E-voting 1
-
- Complex Systems and Time Series Analysis 1
- Co-authors
- Tyler MooreJT HamrickNeil GandalArghya MukherjeeAmir FederRoss AndersonMichael LeviRichard Clayton
- Journals
- Science (1 paper)Information Processing & Management (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Marie Vasek
19 papers receiving 223 citations
Peers
Comparison fields: 5 of 48
- Information Systems 174
- Signal Processing 39
- Management Information Systems 22
- Computer Networks and Communications 49
- Software 8
Countries citing papers authored by Marie Vasek
This map shows the geographic impact of Marie Vasek'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 Marie Vasek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Vasek more than expected).
Fields of papers citing papers by Marie Vasek
This network shows the impact of papers produced by Marie Vasek. 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 Marie Vasek. The network helps show where Marie Vasek may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Marie Vasek, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 53 | |
| 12 | The rise and fall of cryptocurrencies | 2018 | 4 |
| 13 | 2018 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 22 | |
| 16 | Mass Compromise of IIS Shared Web Hosting for Blackhat SEO: A Case Study | 2015 | 2 |
| 17 | 2015 | 10 | |
| 18 | 2013 | 2 | |
| 19 | Representing Expressive Types in Blocks Programming Languages | 2012 | 13 |
| 20 | Do malware reports expedite cleanup? an experimental study | 2012 | 26 |
About Marie Vasek
Marie Vasek is a scholar working on Information Systems, Health Informatics and Signal Processing, having authored 22 papers that have together received 237 indexed citations. Recurring topics across this work include Spam and Phishing Detection (12 papers), Cybercrime and Law Enforcement Studies (8 papers), Blockchain Technology Applications and Security (7 papers), Advanced Malware Detection Techniques (6 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Information Systems (174 citations), Signal Processing (39 citations) and Management Information Systems (22 citations). Marie Vasek has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Tyler Moore, JT Hamrick, Neil Gandal, Arghya Mukherjee, Amir Feder, Ross Anderson, Michael Levi, Richard Clayton, Carlos Gañán and Chris Barton. Their work appears in journals such as Science, Information Processing & Management and IEEE Transactions on Dependable and Secure 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.