Ryan Gabrys
Impact in
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- Cellular Automata and Applications
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- Advanced Data Storage Technologies
- Error Correcting Code Techniques
Papers in
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- DNA and Biological Computing 39
- Advanced biosensing and bioanalysis techniques 22
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- Algorithms and Data Compression 25
- Coding theory and cryptography 14
- Co-authors
- Olgica Milenković (15 shared papers)Eitan Yaakobi (28 shared papers)S. M. Hossein Tabatabaei Yazdi (2 shared papers)Lara Dolecek (17 shared papers)Han Mao Kiah (7 shared papers)Jehoshua Bruck (6 shared papers)Frédéric Sala (8 shared papers)Jin Sima (4 shared papers)
- Journals
- IEEE Transactions on Information Theory (18 papers)IEEE Transactions on Communications (3 papers)IEEE Communications Letters (1 paper)Scientific Reports (1 paper)SIAM Journal on Discrete Mathematics (1 paper)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Ryan Gabrys
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 36
- Computational Theory and Mathematics 341
- Computer Networks and Communications 352
- Artificial Intelligence 469
- Molecular Biology 714
- Hardware and Architecture 34
Countries citing papers authored by Ryan Gabrys
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).
Fields of papers citing papers by Ryan Gabrys
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.
Co-authors
The 25 scholars most cited alongside Ryan Gabrys, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2013 | 57 | |
| 3 | 2020 | 46 | |
| 4 | 2017 | 46 | |
| 5 | 2018 | 44 | |
| 6 | 2021 | 41 | |
| 7 | 2018 | 37 | |
| 8 | 2012 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2020 | 26 | |
| 11 | 2018 | 25 | |
| 12 | 2019 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2011 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2011 | 14 |
About Ryan Gabrys
Ryan Gabrys is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA and Biological Computing (39 papers), Cellular Automata and Applications (26 papers), Algorithms and Data Compression (25 papers), Advanced Data Storage Technologies (23 papers), Advanced biosensing and bioanalysis techniques (22 papers), Coding theory and cryptography (14 papers), Error Correcting Code Techniques (13 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computational Theory and Mathematics (341 citations), Computer Networks and Communications (352 citations), Artificial Intelligence (469 citations), Molecular Biology (714 citations) and Hardware and Architecture (34 citations). Ryan Gabrys has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Olgica Milenković, Eitan Yaakobi, S. M. Hossein Tabatabaei Yazdi, Lara Dolecek, Han Mao Kiah, Jehoshua Bruck, Frédéric Sala, Jin Sima, Paul H. Siegel and Mario Blaum. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Communications Letters, Scientific Reports and SIAM Journal on Discrete Mathematics.
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.