Dmitriy Ryaboy
Impact in
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- Advanced Database Systems and Queries
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Information Systems top 1%
- Cloud Computing and Resource Management
Papers in
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- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 1
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- Cloud Computing and Resource Management 3
- Co-authors
- Jimmy Lin (3 shared papers)Inna Dubchak (4 shared papers)Karthik Ramasamy (1 shared paper)Krishna Gade (1 shared paper)Amit K. Shukla (1 shared paper)Sanjeev Kulkarni (1 shared paper)Jason Baird Jackson (1 shared paper)Maosong Fu (1 shared paper)
- Journals
- Genome Research (1 paper)Proceedings of the VLDB Endowment (1 paper)Genomics (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)Humana Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Dmitriy Ryaboy
8 papers receiving 1.0k citations
Dmitriy Ryaboy's Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 619
- Information Systems 499
- Signal Processing 145
- Information Systems and Management 63
- Artificial Intelligence 275
Countries citing papers authored by Dmitriy Ryaboy
This map shows the geographic impact of Dmitriy Ryaboy'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 Dmitriy Ryaboy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Ryaboy more than expected).
Fields of papers citing papers by Dmitriy Ryaboy
This network shows the impact of papers produced by Dmitriy Ryaboy. 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 Dmitriy Ryaboy. The network helps show where Dmitriy Ryaboy may publish in the future.
Co-authors
The 21 scholars most cited alongside Dmitriy Ryaboy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Storm@twitter Hit paper breakdown → | 2014 | 599 |
| 2 | 2003 | 188 | |
| 3 | 2013 | 109 | |
| 4 | 2012 | 72 | |
| 5 | 2006 | 54 | |
| 6 | 2004 | 31 | |
| 7 | 2011 | 31 | |
| 8 | Strategies and tools for whole genome alignments - eScholarship | 2002 | 2 |
About Dmitriy Ryaboy
Dmitriy Ryaboy is a scholar working on Molecular Biology, Information Systems, Computer Networks and Communications, Artificial Intelligence and Plant Science, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (3 papers), Cloud Computing and Resource Management (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Database Systems and Queries (2 papers), Chromosomal and Genetic Variations (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Computer Networks and Communications (619 citations), Information Systems (499 citations), Signal Processing (145 citations), Information Systems and Management (63 citations) and Artificial Intelligence (275 citations). Dmitriy Ryaboy has collaborated with scholars based in United States. Frequent co-authors include Jimmy Lin, Inna Dubchak, Karthik Ramasamy, Krishna Gade, Amit K. Shukla, Sanjeev Kulkarni, Jason Baird Jackson, Maosong Fu, Jignesh M. Patel and Nicolas Bray. Their work appears in journals such as Genome Research, Proceedings of the VLDB Endowment, Genomics, ACM SIGKDD Explorations Newsletter and Humana Press eBooks.
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.