Jakub Breier

123 total papers · 1.4k total citations
58 papers, 608 citations indexed

About

Jakub Breier is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing. According to data from OpenAlex, Jakub Breier has authored 58 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 33 papers in Hardware and Architecture and 19 papers in Signal Processing. Recurrent topics in Jakub Breier's work include Cryptographic Implementations and Security (42 papers), Physical Unclonable Functions (PUFs) and Hardware Security (32 papers) and Advanced Malware Detection Techniques (19 papers). Jakub Breier is often cited by papers focused on Cryptographic Implementations and Security (42 papers), Physical Unclonable Functions (PUFs) and Hardware Security (32 papers) and Advanced Malware Detection Techniques (19 papers). Jakub Breier collaborates with scholars based in Singapore, Slovakia and India. Jakub Breier's co-authors include Shivam Bhasin, Dirmanto Jap, Xiaolu Hou, Yang Liu, Wei He, Anubhab Baksi, Лей Ма, Anupam Chattopadhyay, Debdeep Mukhopadhyay and Sikhar Patranabis and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

In The Last Decade

Jakub Breier

56 papers receiving 584 citations

Author Peers

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

Author Last Decade Papers Cites
Jakub Breier 479 332 160 147 137 58 608
Josep Balasch 455 0.9× 274 0.8× 102 0.6× 137 0.9× 220 1.6× 38 660
Paolo Maistri 578 1.2× 368 1.1× 101 0.6× 244 1.7× 124 0.9× 44 673
Dejun Mu 372 0.8× 192 0.6× 137 0.9× 33 0.2× 104 0.8× 52 551
Mingfu Xue 322 0.7× 186 0.6× 132 0.8× 157 1.1× 181 1.3× 49 606
Daniel Ziener 178 0.4× 418 1.3× 64 0.4× 90 0.6× 246 1.8× 41 608
Fan Yao 364 0.8× 190 0.6× 176 1.1× 43 0.3× 211 1.5× 57 575
Rusty O. Baldwin 300 0.6× 124 0.4× 148 0.9× 109 0.7× 230 1.7× 56 679
William E. Burr 370 0.8× 95 0.3× 107 0.7× 245 1.7× 105 0.8× 32 692
Thomas Peyrin 453 0.9× 92 0.3× 66 0.4× 247 1.7× 121 0.9× 43 542
Orr Dunkelman 458 1.0× 94 0.3× 131 0.8× 293 2.0× 70 0.5× 71 577

Countries citing papers authored by Jakub Breier

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Breier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Breier

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