Ryan Gabrys

73 papers and 1.2k indexed citations i.

About

Ryan Gabrys is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ryan Gabrys has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 45 papers in Artificial Intelligence and 30 papers in Computational Theory and Mathematics. Recurrent topics in Ryan Gabrys’s work include DNA and Biological Computing (48 papers), Algorithms and Data Compression (33 papers) and Advanced biosensing and bioanalysis techniques (32 papers). Ryan Gabrys is often cited by papers focused on DNA and Biological Computing (48 papers), Algorithms and Data Compression (33 papers) and Advanced biosensing and bioanalysis techniques (32 papers). Ryan Gabrys collaborates with scholars based in United States, Israel and Singapore. Ryan Gabrys's co-authors include Olgica Milenković, Eitan Yaakobi, S. M. Hossein Tabatabaei Yazdi, Frédéric Sala, Lara Dolecek, Clayton Schoeny, Han Mao Kiah, Jehoshua Bruck, Antonia Wachter-Zeh and Jin Sima and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Theory and IEEE Transactions on Communications.

In The Last Decade

Co-authorship network of co-authors of Ryan Gabrys i

Fields of papers citing papers by Ryan Gabrys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryan Gabrys

Since Specialization
Citations

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