Marie Vasek

53 total papers · 1.3k total citations
21 papers, 230 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 21 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 16 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 (11 papers), Blockchain Technology Applications and Security (7 papers) and Cybercrime and Law Enforcement Studies (7 papers). Marie Vasek is often cited by papers focused on Spam and Phishing Detection (11 papers), Blockchain Technology Applications and Security (7 papers) and Cybercrime and Law Enforcement Studies (7 papers). Marie Vasek collaborates with scholars based in United States, United Kingdom and Israel. Marie Vasek's co-authors include Tyler Moore, Neil Gandal, JT Hamrick, Amir Feder, Arghya Mukherjee, Chris Barton, Carlos Gañán, Ross Anderson, Richard Clayton and Michael Levi 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 218 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marie Vasek 172 49 39 39 38 21 230
Samer Zein 131 0.8× 58 1.2× 48 1.2× 16 0.4× 18 0.5× 22 268
Anand Nandkumar 141 0.8× 51 1.0× 39 1.0× 20 0.5× 16 0.4× 17 302
Ye Liu 136 0.8× 26 0.5× 35 0.9× 12 0.3× 63 1.7× 26 197
Yebo Feng 132 0.8× 86 1.8× 53 1.4× 13 0.3× 79 2.1× 29 247
Dionisios N. Sotiropoulos 131 0.8× 27 0.6× 16 0.4× 50 1.3× 88 2.3× 37 326
Adrian Baldwin 84 0.5× 45 0.9× 16 0.4× 73 1.9× 63 1.7× 23 216
Sangkyu Rho 70 0.4× 105 2.1× 44 1.1× 15 0.4× 53 1.4× 22 298
Niclas Kannengießer 234 1.4× 89 1.8× 9 0.2× 37 0.9× 50 1.3× 17 296
Monika di Angelo 234 1.4× 40 0.8× 53 1.4× 19 0.5× 67 1.8× 17 281
Sarah Chasins 120 0.7× 46 0.9× 17 0.4× 34 0.9× 89 2.3× 28 311

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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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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