Apostolis Zarras

68 total papers · 1.5k total citations
28 papers, 491 citations indexed

About

Apostolis Zarras is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Apostolis Zarras has authored 28 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 17 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Apostolis Zarras's work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (8 papers) and Spam and Phishing Detection (6 papers). Apostolis Zarras is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (8 papers) and Spam and Phishing Detection (6 papers). Apostolis Zarras collaborates with scholars based in Germany, Greece and Netherlands. Apostolis Zarras's co-authors include Aurélien Francillon, Andrei Costin, Giovanni Vigna, Thorsten Holz, Claudia Eckert, Christopher Kruegel, Gianluca Stringhini, Ryan Stevens, Brett Stone-Gross and Richard A. Kemmerer and has published in prestigious journals such as The Computer Journal, Computer Science Review and Journal of Information Security and Applications.

In The Last Decade

Apostolis Zarras

22 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Apostolis Zarras	307	294	260	220	50	28	491
Giancarlo Pellegrino	246 0.8×	367 1.2×	253 1.0×	143 0.7×	69 1.4×	34	516
Paul Pearce	321 1.0×	280 1.0×	267 1.0×	225 1.0×	64 1.3×	26	519
Kan Yuan	275 0.9×	325 1.1×	188 0.7×	187 0.8×	43 0.9×	13	460
Enrico Mariconti	286 0.9×	182 0.6×	136 0.5×	257 1.2×	91 1.8×	22	439
Ali Zand	219 0.7×	281 1.0×	160 0.6×	182 0.8×	48 1.0×	16	465
Brendan Saltaformaggio	370 1.2×	314 1.1×	241 0.9×	272 1.2×	69 1.4×	38	544
Christian Wressnegger	277 0.9×	204 0.7×	222 0.9×	196 0.9×	86 1.7×	32	443
Yongzhong He	263 0.9×	170 0.6×	225 0.9×	273 1.2×	47 0.9×	33	468
Norbert Pohlmann	299 1.0×	235 0.8×	261 1.0×	373 1.7×	29 0.6×	47	531
Fabio Pierazzi	300 1.0×	215 0.7×	239 0.9×	362 1.6×	55 1.1×	34	506

Countries citing papers authored by Apostolis Zarras

Since Specialization

Citations

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

Fields of papers citing papers by Apostolis Zarras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apostolis Zarras

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