Frank Rubin

34 total papers · 661 total citations
28 papers, 295 citations indexed

About

Frank Rubin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Frank Rubin has authored 28 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Frank Rubin’s work include Chaos-based Image/Signal Encryption (7 papers), Algorithms and Data Compression (5 papers) and VLSI and FPGA Design Techniques (5 papers). Frank Rubin is often cited by papers focused on Chaos-based Image/Signal Encryption (7 papers), Algorithms and Data Compression (5 papers) and VLSI and FPGA Design Techniques (5 papers). Frank Rubin collaborates with scholars based in United States. Frank Rubin's co-authors include and and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications of the ACM and Journal of the ACM.
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Frank Rubin

20 papers receiving 261 citations

Fields of papers citing papers by Frank Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frank Rubin

Since Specialization
Citations

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

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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