Mario Frank

1.9k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Mario Frank is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Mario Frank has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Sociology and Political Science. Recurrent topics in Mario Frank's work include User Authentication and Security Systems (6 papers), Topic Modeling (4 papers) and Access Control and Trust (4 papers). Mario Frank is often cited by papers focused on User Authentication and Security Systems (6 papers), Topic Modeling (4 papers) and Access Control and Trust (4 papers). Mario Frank collaborates with scholars based in United States, Switzerland and United Kingdom. Mario Frank's co-authors include Ivan Martinović, Dawn Song, Ralf Biedert, David Basin, Joachim M. Buhmann, Neil Zhenqiang Gong, Prateek Mittal, Jens Schmitt, Dawn Song and Daniele Perito and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, ACM Transactions on Information and System Security and Pattern Analysis and Applications.

In The Last Decade

Mario Frank

23 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication

2012 560 citations Mario Frank, Ralf Biedert et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mario Frank United States	14	811	609	373	270	268	23	1.2k
Dawn Song United States	11	775 1.0×	662 1.1×	221 0.6×	84 0.3×	236 0.9×	20	1.1k
Adam J. Aviv United States	18	830 1.0×	667 1.1×	376 1.0×	169 0.6×	443 1.7×	79	1.3k
Mengjun Xie United States	15	368 0.5×	254 0.4×	247 0.7×	119 0.4×	372 1.4×	60	899
Muhammad Al‐Qurishi Saudi Arabia	19	362 0.4×	106 0.2×	258 0.7×	299 1.1×	186 0.7×	43	859
Alain Mayer United States	17	617 0.8×	481 0.8×	492 1.3×	157 0.6×	689 2.6×	32	1.4k
Cory Cornelius United States	14	259 0.3×	210 0.3×	431 1.2×	117 0.4×	277 1.0×	23	1.0k
Patrick Bours Norway	15	621 0.8×	465 0.8×	142 0.4×	80 0.3×	72 0.3×	57	790
Mohammad Mannan Canada	16	564 0.7×	415 0.7×	296 0.8×	163 0.6×	288 1.1×	62	866
Feng Xiao China	9	445 0.5×	174 0.3×	382 1.0×	115 0.4×	499 1.9×	31	838
Takuichi Nishimura Japan	14	221 0.3×	724 1.2×	339 0.9×	59 0.2×	68 0.3×	84	1.4k

Countries citing papers authored by Mario Frank

Since Specialization

Citations

This map shows the geographic impact of Mario Frank'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 Mario Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Frank more than expected).

Fields of papers citing papers by Mario Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Frank. 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 Mario Frank. The network helps show where Mario Frank may publish in the future.

Co-authorship network of co-authors of Mario Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Frank. A scholar is included among the top collaborators of Mario Frank 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 Mario Frank. Mario Frank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

McClarren, Ryan G., et al.. (2019). A low-rank method for time-dependent transport calculations. 957. 1 indexed citations

2.

Frank, Mario, Sakshi Jain, Robert T. Knight, et al.. (2017). Using EEG-Based BCI Devices to Subliminally Probe for Private Information. 133–136. 20 indexed citations

3.

Gong, Neil Zhenqiang, Mathias Payer, Reza Moazzezi, & Mario Frank. (2015). Towards Forgery-Resistant Touch-based Biometric Authentication on Mobile Devices.. arXiv (Cornell University). 1 indexed citations

4.

Payer, Mathias, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, & Mario Frank. (2014). What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications. IEEE Transactions on Information Forensics and Security. 10(1). 200–212. 16 indexed citations

5.

Gong, Neil Zhenqiang, Mario Frank, & Prateek Mittal. (2014). SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection. IEEE Transactions on Information Forensics and Security. 9(6). 976–987. 129 indexed citations

6.

Frank, Mario, et al.. (2013). SAFE: Secure authentication with Face and Eyes. 1–8. 22 indexed citations

7.

Hanson, Casey, et al.. (2013). Modeling and detecting anomalous topic access. 100–105. 19 indexed citations

8.

Frank, Mario, et al.. (2013). Role Mining with Probabilistic Models. ACM Transactions on Information and System Security. 15(4). 1–28. 27 indexed citations

9.

Frank, Mario, et al.. (2013). Who do you sync you are?. 7–12. 84 indexed citations

10.

Buhmann, Joachim M., et al.. (2012). Information Theoretic Model Selection for Pattern Analysis. International Conference on Machine Learning. 51–64. 3 indexed citations

11.

Martinović, Ivan, et al.. (2012). On the feasibility of side-channel attacks with brain-computer interfaces. Oxford University Research Archive (ORA) (University of Oxford). 34–34. 86 indexed citations

12.

Frank, Mario, et al.. (2012). Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication. IEEE Transactions on Information Forensics and Security. 8(1). 136–148. 560 indexed citations breakdown →

13.

Song, Dawn, et al.. (2012). Predicting Congressional Votes Based on Campaign Finance Data. 9. 640–645. 1 indexed citations

14.

Frank, Mario, et al.. (2012). Mining Permission Request Patterns from Android and Facebook Applications. 13. 870–875. 63 indexed citations

15.

Frank, Mario & Fred A. Hamprecht. (2011). Image-based supervision of a periodically working machine. Pattern Analysis and Applications. 16(3). 407–416. 1 indexed citations

16.

Frank, Mario & Joachim M. Buhmann. (2011). Selecting the rank of SVD by Maximum Approximation Capacity. 1 indexed citations

17.

Frank, Mario, Joachim M. Buhmann, & David Basin. (2010). On the definition of role mining. 35–44. 44 indexed citations

18.

Frank, Mario, et al.. (2009). Multi-assignment clustering for Boolean data. 969–976. 44 indexed citations

19.

Frank, Mario, et al.. (2009). A probabilistic approach to hybrid role mining. 101–111. 64 indexed citations

20.

Frank, Mario, David Basin, & Joachim M. Buhmann. (2008). A class of probabilistic models for role engineering. 299–310. 39 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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