Anil Kurmus

789 total citations
15 papers, 289 citations indexed

About

Anil Kurmus is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Anil Kurmus has authored 15 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Signal Processing and 7 papers in Information Systems. Recurrent topics in Anil Kurmus's work include Security and Verification in Computing (11 papers), Advanced Malware Detection Techniques (9 papers) and Cloud Data Security Solutions (4 papers). Anil Kurmus is often cited by papers focused on Security and Verification in Computing (11 papers), Advanced Malware Detection Techniques (9 papers) and Cloud Data Security Solutions (4 papers). Anil Kurmus collaborates with scholars based in Switzerland, United States and Germany. Anil Kurmus's co-authors include Alessandro Sorniotti, Matthias Neugschwandtner, Rüdiger Kapitza, Mathias Payer, Babak Falsafi, Refik Molva, Daniel Lohmann, Thorsten Strufe, Erik-Oliver Blaß and Reinhard Tartler and has published in prestigious journals such as Computer Communications, IEEE Transactions on Dependable and Secure Computing and Network and Distributed System Security Symposium.

In The Last Decade

Anil Kurmus

15 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil Kurmus Switzerland 11 227 139 109 90 86 15 289
Elena Gabriela Barrantes Costa Rica 6 287 1.3× 260 1.9× 103 0.9× 177 2.0× 60 0.7× 10 379
Alyssa Milburn Netherlands 6 239 1.1× 145 1.0× 63 0.6× 69 0.8× 107 1.2× 10 280
Jinku Li China 8 285 1.3× 300 2.2× 164 1.5× 186 2.1× 31 0.4× 29 389
Xunchao Hu United States 7 151 0.7× 152 1.1× 91 0.8× 89 1.0× 40 0.5× 8 239
Mona Vij United States 6 247 1.1× 102 0.7× 150 1.4× 91 1.0× 76 0.9× 15 288
David Terei United States 6 145 0.6× 55 0.4× 76 0.7× 141 1.6× 129 1.5× 10 240
Bart Coppens Belgium 12 335 1.5× 241 1.7× 124 1.1× 96 1.1× 102 1.2× 27 396
Michael Z. Lee United States 8 261 1.1× 170 1.2× 190 1.7× 106 1.2× 53 0.6× 12 321
Jon Pincus United States 3 150 0.7× 125 0.9× 68 0.6× 75 0.8× 34 0.4× 3 216
Pieter Agten Belgium 7 327 1.4× 259 1.9× 184 1.7× 111 1.2× 80 0.9× 10 390

Countries citing papers authored by Anil Kurmus

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kurmus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kurmus

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

All Works

15 of 15 papers shown
1.
Sorniotti, Alessandro, et al.. (2023). Go or No Go: Differential Fuzzing of Native and C Libraries. 349–363. 2 indexed citations
2.
Mambretti, Andrea, Matthias Neugschwandtner, Alessandro Sorniotti, et al.. (2019). Speculator. 747–761. 12 indexed citations
3.
Mambretti, Andrea, et al.. (2019). Two methods for exploiting speculative control flow hijacks. USENIX Security Symposium. 4 indexed citations
4.
Neugschwandtner, Matthias, et al.. (2019). SMoTherSpectre. 785–800. 94 indexed citations
5.
Kurmus, Anil, Nikolas Ioannou, Matthias Neugschwandtner, Nikolaos Papandreou, & Thomas Parnell. (2017). From random block corruption to privilege escalation: a filesystem attack vector for rowhammer-like attacks. 4–4. 11 indexed citations
6.
Neugschwandtner, Matthias, et al.. (2016). A transparent defense against USB eavesdropping attacks. Zenodo (CERN European Organization for Nuclear Research). 1–6. 11 indexed citations
7.
Kurmus, Anil, et al.. (2014). A Tale of Two Kernels. 1366–1377. 16 indexed citations
8.
Kurmus, Anil, et al.. (2013). Attack Surface Metrics and Automated Compile-Time OS Kernel Tailoring.. Network and Distributed System Security Symposium. 37 indexed citations
9.
Factor, Michael, Nadav Har’El, Elliot K. Kolodner, et al.. (2013). Secure Logical Isolation for Multi-tenancy in cloud storage. 1–5. 21 indexed citations
10.
Tartler, Reinhard, et al.. (2012). Automatic OS kernel TCB reduction by leveraging compile-time configurability. 37(6). 3–3. 12 indexed citations
11.
Blaß, Erik-Oliver, Anil Kurmus, Refik Molva, & Thorsten Strufe. (2012). PSP: Private and secure payment with RFID. Computer Communications. 36(4). 468–480. 7 indexed citations
12.
Kurmus, Anil, et al.. (2012). Secure cloud maintenance. 83–84. 16 indexed citations
13.
Kurmus, Anil, Alessandro Sorniotti, & Rüdiger Kapitza. (2011). Attack surface reduction for commodity OS kernels. 1–6. 27 indexed citations
14.
Kurmus, Anil, et al.. (2010). The F_f-Family of Protocols for RFID-Privacy and Authentication. IEEE Transactions on Dependable and Secure Computing. 8(3). 466–480. 8 indexed citations
15.
Blaß, Erik-Oliver, Anil Kurmus, Refik Molva, & Thorsten Strufe. (2009). PSP. 51–60. 11 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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