Antonio Barresi

8 total papers · 456 total citations
4 papers, 226 citations indexed

About

Antonio Barresi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Antonio Barresi has authored 4 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Antonio Barresi's work include Security and Verification in Computing (3 papers), Cloud Data Security Solutions (2 papers) and Advanced Malware Detection Techniques (2 papers). Antonio Barresi is often cited by papers focused on Security and Verification in Computing (3 papers), Cloud Data Security Solutions (2 papers) and Advanced Malware Detection Techniques (2 papers). Antonio Barresi collaborates with scholars based in United States, Switzerland and Netherlands. Antonio Barresi's co-authors include Mathias Payer, Thomas Groß, David Wagner and Kaveh Razavi and has published in prestigious journals such as .

In The Last Decade

Antonio Barresi

4 papers receiving 211 citations

Author Peers

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

Author Last Decade Papers Cites
Antonio Barresi 215 175 86 48 47 4 226
Matthew Hall 162 0.8× 152 0.9× 69 0.8× 23 0.5× 33 0.7× 3 175
Richard Wartell 256 1.2× 226 1.3× 97 1.1× 44 0.9× 65 1.4× 5 269
Stacey Son 214 1.0× 118 0.7× 90 1.0× 88 1.8× 39 0.8× 6 241
Sanchuan Chen 221 1.0× 113 0.6× 61 0.7× 59 1.2× 85 1.8× 6 240
Julian Stecklina 150 0.7× 86 0.5× 49 0.6× 59 1.2× 34 0.7× 4 170
Stephan van Schaik 176 0.8× 102 0.6× 47 0.5× 72 1.5× 50 1.1× 5 195
Ashay Rane 146 0.7× 68 0.4× 49 0.6× 73 1.5× 52 1.1× 7 183
Oleksii Oleksenko 195 0.9× 72 0.4× 67 0.8× 60 1.3× 99 2.1× 10 214
Nico Weichbrodt 279 1.3× 112 0.6× 120 1.4× 49 1.0× 156 3.3× 10 314
Moritz Contag 143 0.7× 132 0.8× 52 0.6× 32 0.7× 53 1.1× 4 191

Countries citing papers authored by Antonio Barresi

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Barresi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Barresi

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