Marie Vasek

1.3k total citations
22 papers, 237 citations indexed

About

Marie Vasek is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marie Vasek has authored 22 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 6 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Marie Vasek's work include Spam and Phishing Detection (12 papers), Cybercrime and Law Enforcement Studies (8 papers) and Blockchain Technology Applications and Security (7 papers). Marie Vasek is often cited by papers focused on Spam and Phishing Detection (12 papers), Cybercrime and Law Enforcement Studies (8 papers) and Blockchain Technology Applications and Security (7 papers). Marie Vasek collaborates with scholars based in United Kingdom, United States and Israel. Marie Vasek's co-authors include Tyler Moore, JT Hamrick, Neil Gandal, Arghya Mukherjee, Amir Feder, Ross Anderson, Michael Levi, Richard Clayton, Carlos Gañán and Chris Barton and has published in prestigious journals such as Science, Information Processing & Management and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Marie Vasek

19 papers receiving 223 citations

Peers

Marie Vasek

IS

CNC

SPS

SP

AI

Amir Feder Israel

Danny Bradbury United Kingdom

Daniel Woods Austria

Lillian Ablon United States

Liyi Zhou United Kingdom

Yahui An China

Lorenz Breidenbach United States

Vitalik Buterin United States

Kaihua Qin United Kingdom

Amir Feder Israel

Marie Vasek

116 ×0.7

IS

23 ×0.5

CNC

31 ×0.8

SPS

15 ×0.4

SP

190 ×5.0

AI

Citations per year, relative to Marie Vasek Marie Vasek (= 1×) peers Amir Feder

Countries citing papers authored by Marie Vasek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Vasek, Marie, et al.. (2025). Platforms, risk perceptions, and reporting: the impact of illicit drug advertisements on social media among UK secondary students. Harm Reduction Journal. 22(1). 154–154.

2.

Mariconti, Enrico, et al.. (2024). A Sinister Fattening: Dissecting the Tales of Pig Butchering and Other Cryptocurrency Scams. 136–148.

3.

Agarwal, Sharad, E. Newton Harvey, & Marie Vasek. (2024). Poster: A Comprehensive Categorization of SMS Scams. 755–756.

4.

Vasek, Marie, et al.. (2023). Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review. Drug and Alcohol Review. 43(1). 56–74. 8 indexed citations

5.

Vasek, Marie, et al.. (2023). Response to the HM Treasury’s Future Financial Services Regulatory Regime for Cryptoassets Consultation Call. SSRN Electronic Journal. 1 indexed citations

6.

Vasek, Marie, et al.. (2022). The Ethics of Going Deep: Challenges in Machine Learning for Sensitive Security Domains. 533–537. 1 indexed citations

7.

Hamrick, JT, Arghya Mukherjee, Amir Feder, et al.. (2021). An examination of the cryptocurrency pump-and-dump ecosystem. Information Processing & Management. 58(4). 102506–102506. 38 indexed citations

8.

Hamrick, JT, et al.. (2021). Analyzing Target-Based Cryptocurrency Pump and Dump Schemes. 21–27. 1 indexed citations

9.

Gandal, Neil, JT Hamrick, Tyler Moore, & Marie Vasek. (2021). The rise and fall of cryptocurrency coins and tokens. Decisions in Economics and Finance. 44(2). 981–1014. 22 indexed citations

10.

Vasek, Marie, et al.. (2021). Detecting Text Reuse in Cryptocurrency Whitepapers. 1–5. 3 indexed citations

11.

Anderson, Ross, Chris Barton, Richard Clayton, et al.. (2019). Measuring the Changing Cost of Cybercrime. Apollo (University of Cambridge). 53 indexed citations

12.

Feder, Amir, Neil Gandal, JT Hamrick, Tyler Moore, & Marie Vasek. (2018). The rise and fall of cryptocurrencies. 4 indexed citations

13.

Hamrick, JT, Arghya Mukherjee, Amir Feder, et al.. (2018). The Economics of Cryptocurrency Pump and Dump Schemes. SSRN Electronic Journal. 14 indexed citations

14.

Vasek, Marie, et al.. (2016). Measuring the Impact of Sharing Abuse Data with Web Hosting Providers. 71–80. 12 indexed citations

15.

Vasek, Marie, et al.. (2015). Hacking Is Not Random: A Case-Control Study of Webserver-Compromise Risk. IEEE Transactions on Dependable and Secure Computing. 13(2). 206–219. 22 indexed citations

16.

Vasek, Marie, et al.. (2015). Mass Compromise of IIS Shared Web Hosting for Blackhat SEO: A Case Study. 2 indexed citations

17.

Vasek, Marie. (2015). The Age of Cryptocurrency The Age of Cryptocurrency How Bitcoin and Digital Money Are Challenging the Global Economic Order Paul Vigna and Michael J. Casey St. Martin's, 2015. 367 pp.. Science. 348(6241). 1308–1309. 10 indexed citations

18.

Vasek, Marie & Tyler Moore. (2013). Empirical analysis of factors affecting malware URL detection. 34. 1–8. 2 indexed citations

19.

Vasek, Marie. (2012). Representing Expressive Types in Blocks Programming Languages. 13 indexed citations

20.

Vasek, Marie & Tyler Moore. (2012). Do malware reports expedite cleanup? an experimental study. UCL Discovery (University College London). 6–6. 26 indexed citations

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.

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