A.J. Elbirt

21 total papers · 865 total citations
19 papers, 574 citations indexed

About

A.J. Elbirt is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, A.J. Elbirt has authored 19 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in A.J. Elbirt's work include Cryptographic Implementations and Security (12 papers), Coding theory and cryptography (10 papers) and Chaos-based Image/Signal Encryption (6 papers). A.J. Elbirt is often cited by papers focused on Cryptographic Implementations and Security (12 papers), Coding theory and cryptography (10 papers) and Chaos-based Image/Signal Encryption (6 papers). A.J. Elbirt collaborates with scholars based in United States and Germany. A.J. Elbirt's co-authors include Christof Paar, Wai-Yeung Yip, Jean-Baptiste Thomas and Angelo Galante and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Computer Security.

In The Last Decade

A.J. Elbirt

19 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
A.J. Elbirt 438 341 145 98 74 19 574
Morris J. Dworkin 390 0.9× 272 0.8× 84 0.6× 147 1.5× 99 1.3× 16 570
Florian Mendel 534 1.2× 311 0.9× 216 1.5× 61 0.6× 49 0.7× 47 620
Sikhar Patranabis 411 0.9× 154 0.5× 172 1.2× 80 0.8× 133 1.8× 41 521
Maria Eichlseder 446 1.0× 237 0.7× 229 1.6× 71 0.7× 39 0.5× 31 538
Cong Fu 283 0.6× 266 0.8× 104 0.7× 136 1.4× 120 1.6× 31 603
Christoph Dobraunig 497 1.1× 285 0.8× 243 1.7× 65 0.7× 38 0.5× 34 592
Johann Großschädl 458 1.0× 203 0.6× 98 0.7× 175 1.8× 230 3.1× 46 638
Gaël Rouvroy 336 0.8× 369 1.1× 143 1.0× 41 0.4× 31 0.4× 32 513
Matthew J. B. Robshaw 383 0.9× 167 0.5× 55 0.4× 193 2.0× 161 2.2× 26 595
Arturo Díaz-Pérez 394 0.9× 175 0.5× 50 0.3× 129 1.3× 283 3.8× 39 527

Countries citing papers authored by A.J. Elbirt

Since Specialization
Citations

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

Fields of papers citing papers by A.J. Elbirt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.J. Elbirt. 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 A.J. Elbirt. The network helps show where A.J. Elbirt may publish in the future.

Co-authorship network of co-authors of A.J. Elbirt

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