Vasilis Pappas

21 total papers · 1.1k total citations
8 papers, 571 citations indexed

About

Vasilis Pappas is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Vasilis Pappas has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Vasilis Pappas's work include Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (5 papers) and Network Security and Intrusion Detection (2 papers). Vasilis Pappas is often cited by papers focused on Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (5 papers) and Network Security and Intrusion Detection (2 papers). Vasilis Pappas collaborates with scholars based in United States, Canada and United Kingdom. Vasilis Pappas's co-authors include Angelos D. Keromytis, Michalis Polychronakis, Binh Vo, Tal Malkin, Vladimir Kolesnikov, Steve Bellovin, Seung Geol Choi, Franck Le, Evangelos P. Markatos and Dinesh Verma and has published in prestigious journals such as USENIX Security Symposium and Columbia Academic Commons (Columbia University).

In The Last Decade

Vasilis Pappas

8 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Vasilis Pappas	529	356	192	157	70	8	571
Zhi Wang	390 0.7×	262 0.7×	187 1.0×	213 1.4×	31 0.4×	14	567
Werner Haas	496 0.9×	256 0.7×	182 0.9×	167 1.1×	44 0.6×	14	666
Ming-Wei Shih	507 1.0×	295 0.8×	232 1.2×	257 1.6×	42 0.6×	7	630
Anders Fogh	527 1.0×	293 0.8×	186 1.0×	171 1.1×	46 0.7×	4	624
Aslan Askarov	584 1.1×	394 1.1×	224 1.2×	206 1.3×	24 0.3×	26	644
Stefan Nürnberger	513 1.0×	386 1.1×	183 1.0×	242 1.5×	83 1.2×	17	593
Jethro G. Beekman	353 0.7×	221 0.6×	232 1.2×	289 1.8×	13 0.2×	8	556
Daniel Moghimi	508 1.0×	294 0.8×	121 0.6×	118 0.8×	58 0.8×	20	581
Johannes Götzfried	446 0.8×	252 0.7×	158 0.8×	184 1.2×	17 0.2×	19	526
Gaurav S. Kc	420 0.8×	378 1.1×	273 1.4×	187 1.2×	24 0.3×	8	545

Countries citing papers authored by Vasilis Pappas

Since Specialization

Citations

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

Fields of papers citing papers by Vasilis Pappas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasilis Pappas

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