Marie Vasek
- Information Systems top 5%
- Computer Networks and Communications
- Sociology and Political Science
- Signal Processing
- Artificial Intelligence
- Co-authors
- Tyler MooreJT HamrickNeil GandalArghya MukherjeeAmir FederRoss AndersonMichael LeviRichard Clayton
- Topics
- Spam and Phishing Detection (12 papers)Cybercrime and Law Enforcement Studies (8 papers)Blockchain Technology Applications and Security (7 papers)
- Journals
- ScienceInformation Processing & ManagementIEEE Transactions on Dependable and Secure Computing
- 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
- Computer Networks and Communications 49
- Sociology and Political Science 40
- Signal Processing 39
- Artificial Intelligence 38
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 of co-authors of Marie Vasek
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Vasek. A scholar is included among the top collaborators of Marie Vasek 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 Marie Vasek. Marie Vasek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 53 | |
| 12 | The rise and fall of cryptocurrencies | 4 |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 22 | |
| 16 | Mass Compromise of IIS Shared Web Hosting for Blackhat SEO: A Case Study | 2 |
| 17 | 10 | |
| 18 | 2 | |
| 19 | Representing Expressive Types in Blocks Programming Languages | 13 |
| 20 | Do malware reports expedite cleanup? an experimental study | 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) and Blockchain Technology Applications and Security (7 papers). 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.