Juraj Somorovsky

58 total papers · 1.4k total citations
40 papers, 734 citations indexed

About

Juraj Somorovsky is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Juraj Somorovsky has authored 40 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 18 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Juraj Somorovsky's work include Advanced Malware Detection Techniques (13 papers), Cryptographic Implementations and Security (12 papers) and Security and Verification in Computing (11 papers). Juraj Somorovsky is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Cryptographic Implementations and Security (12 papers) and Security and Verification in Computing (11 papers). Juraj Somorovsky collaborates with scholars based in Germany, United Kingdom and United States. Juraj Somorovsky's co-authors include Jörg Schwenk, Tibor Jager, Meiko Jensen, Sebastian Schinzel, Christian Mainka, Nils Gruschka, Luigi Lo Iacono, Mario Heiderich, Andreas Mayer and Kenneth G. Paterson and has published in prestigious journals such as Network and Distributed System Security Symposium, it - Information Technology and USENIX Security Symposium.

In The Last Decade

Juraj Somorovsky

39 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
Juraj Somorovsky	433	381	294	244	119	40	734
James Mickens	301 0.7×	362 1.0×	600 2.0×	201 0.8×	89 0.7×	46	904
Juanru Li	296 0.7×	394 1.0×	166 0.6×	412 1.7×	138 1.2×	48	665
XiaoFeng Wang	463 1.1×	289 0.8×	162 0.6×	312 1.3×	52 0.4×	27	673
Dave Tian	304 0.7×	319 0.8×	346 1.2×	348 1.4×	56 0.5×	44	687
Sooel Son	300 0.7×	421 1.1×	207 0.7×	280 1.1×	112 0.9×	29	646
Mattia Monga	281 0.6×	350 0.9×	291 1.0×	187 0.8×	166 1.4×	76	726
İbrahim Soğukpınar	240 0.6×	494 1.3×	466 1.6×	370 1.5×	72 0.6×	62	816
Pierre-Yves Strub	556 1.3×	178 0.5×	217 0.7×	183 0.8×	57 0.5×	38	708
Deian Stefan	494 1.1×	242 0.6×	191 0.6×	366 1.5×	52 0.4×	56	724
Sergey Bratus	438 1.0×	292 0.8×	332 1.1×	391 1.6×	69 0.6×	67	798

Countries citing papers authored by Juraj Somorovsky

Since Specialization

Citations

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

Fields of papers citing papers by Juraj Somorovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Somorovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Juraj Somorovsky. A scholar is included among the top collaborators of Juraj Somorovsky 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 Juraj Somorovsky. Juraj Somorovsky 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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