Martin Georgiev

565 total citations · 1 hit paper
7 papers, 352 citations indexed

About

Martin Georgiev is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Martin Georgiev has authored 7 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Martin Georgiev's work include Advanced Malware Detection Techniques (5 papers), User Authentication and Security Systems (4 papers) and Security and Verification in Computing (3 papers). Martin Georgiev is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), User Authentication and Security Systems (4 papers) and Security and Verification in Computing (3 papers). Martin Georgiev collaborates with scholars based in United States, United Kingdom and Italy. Martin Georgiev's co-authors include Vitaly Shmatikov, Suman Jana, Dan Boneh, Rishita Anubhai, Simon Eberz, Ivan Martinović, Tyler Hunt, Emmett Witchel, Yuanzhong Xu and Youngjin Kwon and has published in prestigious journals such as Journal of Computer Security, Networked Systems Design and Implementation and PubMed.

In The Last Decade

Martin Georgiev

7 papers receiving 338 citations

Hit Papers

1 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.

The most dangerous code in the world

2012 265 citations Martin Georgiev, Suman Jana et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Georgiev United States	5	243	218	168	97	90	7	352
Rishita Anubhai United States	4	170 0.7×	172 0.8×	177 1.1×	82 0.8×	52 0.6×	6	322
Thomas Muders Germany	6	293 1.2×	289 1.3×	172 1.0×	98 1.0×	92 1.0×	8	402
Adwait Nadkarni United States	11	225 0.9×	167 0.8×	145 0.9×	103 1.1×	66 0.7×	19	300
Jinseong Jeon United States	8	300 1.2×	211 1.0×	150 0.9×	102 1.1×	170 1.9×	11	360
Yury Zhauniarovich Italy	10	272 1.1×	227 1.0×	181 1.1×	222 2.3×	93 1.0×	24	408
Kristopher Micinski United States	8	233 1.0×	161 0.7×	115 0.7×	183 1.9×	98 1.1×	18	396
Oleksii Starov United States	11	179 0.7×	230 1.1×	152 0.9×	74 0.8×	38 0.4×	19	319
Bhargava Shastry Germany	5	338 1.4×	214 1.0×	205 1.2×	153 1.6×	113 1.3×	7	385
Xinhui Han China	8	337 1.4×	224 1.0×	143 0.9×	203 2.1×	120 1.3×	31	394
Ronghai Yang Hong Kong	6	207 0.9×	134 0.6×	117 0.7×	99 1.0×	97 1.1×	9	290

Countries citing papers authored by Martin Georgiev

Since Specialization

Citations

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

Fields of papers citing papers by Martin Georgiev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Georgiev

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Georgiev. A scholar is included among the top collaborators of Martin Georgiev 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 Martin Georgiev. Martin Georgiev 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:

7 of 7 papers shown

1.

Georgiev, Martin, Simon Eberz, & Ivan Martinović. (2022). Fingerprinting and Personal Information Leakage from Touchscreen Interactions. 10. 145–157. 1 indexed citations

2.

Georgiev, Martin, et al.. (2022). Common Evaluation Pitfalls in Touch-Based Authentication Systems. 1049–1063. 6 indexed citations

3.

Balagani, Kiran S., Mauro Conti, Paolo Gasti, et al.. (2019). PILOT: Password and PIN information leakage from obfuscated typing videos. Journal of Computer Security. 27(4). 405–425. 4 indexed citations

4.

Xu, Yuanzhong, Tyler Hunt, Youngjin Kwon, et al.. (2016). Earp: principled storage, sharing, and protection for mobile apps. Networked Systems Design and Implementation. 627–642. 5 indexed citations

5.

Georgiev, Martin, Suman Jana, & Vitaly Shmatikov. (2015). Rethinking Security of Web-Based System Applications. 366–376. 11 indexed citations

6.

Georgiev, Martin, Suman Jana, & Vitaly Shmatikov. (2014). Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks. PubMed. 2014. 1–15. 60 indexed citations

7.

Georgiev, Martin, et al.. (2012). The most dangerous code in the world. 38–49. 265 indexed citations breakdown →

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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