Chester Rebeiro

113 total papers · 1.1k total citations
56 papers, 493 citations indexed

About

Chester Rebeiro is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Chester Rebeiro has authored 56 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 26 papers in Signal Processing and 22 papers in Hardware and Architecture. Recurrent topics in Chester Rebeiro's work include Cryptographic Implementations and Security (29 papers), Advanced Malware Detection Techniques (26 papers) and Security and Verification in Computing (24 papers). Chester Rebeiro is often cited by papers focused on Cryptographic Implementations and Security (29 papers), Advanced Malware Detection Techniques (26 papers) and Security and Verification in Computing (24 papers). Chester Rebeiro collaborates with scholars based in India, United States and Czechia. Chester Rebeiro's co-authors include Debdeep Mukhopadhyay, V. Kamakoti, Sujoy Sinha Roy, Sarani Bhattacharya, Swarup Bhunia, Vashek Matyáš, Mainack Mondal, Shibendu Shekhar Roy, Praveen Jayachandran and Byrav Ramamurthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Chester Rebeiro

55 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
Chester Rebeiro 355 194 155 111 108 56 493
Guoxing Chen 416 1.2× 172 0.9× 68 0.4× 140 1.3× 100 0.9× 27 508
Martin Maas 244 0.7× 192 1.0× 205 1.3× 63 0.6× 234 2.2× 25 467
Daniel Page 410 1.2× 174 0.9× 167 1.1× 80 0.7× 74 0.7× 57 529
Ilya Lebedev 385 1.1× 133 0.7× 173 1.1× 153 1.4× 148 1.4× 50 542
Stephan Krenn 389 1.1× 127 0.7× 119 0.8× 157 1.4× 92 0.9× 30 438
Timothy E. Levin 329 0.9× 131 0.7× 312 2.0× 123 1.1× 148 1.4× 51 551
José Pedro Magalhães 232 0.7× 84 0.4× 121 0.8× 106 1.0× 53 0.5× 37 419
Dejun Mu 372 1.0× 89 0.5× 192 1.2× 137 1.2× 109 1.0× 52 551
Kazumasa Omote 373 1.1× 292 1.5× 35 0.2× 142 1.3× 198 1.8× 78 538
Ali Abbasi 160 0.5× 103 0.5× 84 0.5× 184 1.7× 81 0.8× 38 433

Countries citing papers authored by Chester Rebeiro

Since Specialization
Citations

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

Fields of papers citing papers by Chester Rebeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chester Rebeiro

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