Juan Caballero

90 total papers · 4.7k total citations
57 papers, 1.9k citations indexed

About

Juan Caballero is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Juan Caballero has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Signal Processing, 35 papers in Information Systems and 28 papers in Computer Networks and Communications. Recurrent topics in Juan Caballero's work include Advanced Malware Detection Techniques (40 papers), Network Security and Intrusion Detection (26 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). Juan Caballero is often cited by papers focused on Advanced Malware Detection Techniques (40 papers), Network Security and Intrusion Detection (26 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). Juan Caballero collaborates with scholars based in Spain, United States and Italy. Juan Caballero's co-authors include Dawn Song, Antonio Nappa, Christian Kreibich, Zhenkai Liang, Heng Yin, Pongsin Poosankam, Vern Paxson, Chris Grier, Platon Kotzias and Leyla Bilge and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Information Forensics and Security and Future Generation Computer Systems.

In The Last Decade

Juan Caballero

55 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Juan Caballero 1.3k 1.1k 1.1k 897 441 57 1.9k
Yanick Fratantonio 1.7k 1.3× 1.0k 1.0× 779 0.7× 800 0.9× 623 1.4× 37 1.9k
Mihai Christodorescu 1.7k 1.3× 990 0.9× 1.3k 1.3× 813 0.9× 486 1.1× 38 2.1k
Zhenkai Liang 1.8k 1.4× 1.2k 1.1× 1.1k 1.1× 1.7k 1.8× 542 1.2× 86 2.7k
David Lie 1.2k 0.9× 1.1k 1.0× 825 0.8× 1.2k 1.4× 543 1.2× 65 2.2k
Christian Rossow 1.4k 1.1× 992 0.9× 1.6k 1.5× 1.3k 1.5× 259 0.6× 60 2.3k
Dinghao Wu 1.4k 1.1× 1.2k 1.1× 514 0.5× 1000 1.1× 905 2.1× 103 2.4k
Alexandra Dmitrienko 1.3k 1.0× 643 0.6× 577 0.5× 1.2k 1.4× 178 0.4× 45 1.7k
Adam Doupé 981 0.8× 1.0k 1.0× 765 0.7× 613 0.7× 260 0.6× 78 1.7k
J.M. Wing 641 0.5× 1.3k 1.2× 1.4k 1.3× 737 0.8× 483 1.1× 38 2.4k
Manuel Costa 1.2k 0.9× 945 0.9× 1.2k 1.2× 1.9k 2.1× 247 0.6× 46 2.6k

Countries citing papers authored by Juan Caballero

Since Specialization
Citations

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

Fields of papers citing papers by Juan Caballero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Caballero

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