Eugene Davydov
Impact in
- Genetics top 2%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Health Informatics top 5%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
-
- Software Engineering Research 2
- Co-authors
- Serafim Batzoglou (4 shared papers)Gregory M. Cooper (3 shared papers)Arend Sidow (3 shared papers)Marina Sirota (2 shared papers)David L. Goode (2 shared papers)Michael Brudno (1 shared paper)NISC Comparative Sequencing Program (1 shared paper)Eric D. Green (1 shared paper)
- Journals
- Genome Research (2 papers)PLoS ONE (1 paper)PLoS Computational Biology (1 paper)Theoretical Computer Science (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Eugene Davydov
9 papers receiving 3.1k citations
Eugene Davydov's Hit Papers
Peers
Comparison fields: 5 of 169
- Genetics 890
- Health Informatics 35
- Molecular Biology 1.3k
- Information Systems 420
- Artificial Intelligence 588
Countries citing papers authored by Eugene Davydov
This map shows the geographic impact of Eugene Davydov'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 Eugene Davydov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Davydov more than expected).
Fields of papers citing papers by Eugene Davydov
This network shows the impact of papers produced by Eugene Davydov. 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 Eugene Davydov. The network helps show where Eugene Davydov may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Davydov, 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 | Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++ Hit paper breakdown → | 2010 | 1085 |
| 2 | LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA Hit paper breakdown → | 2003 | 880 |
| 3 | Ad click prediction Hit paper breakdown → | 2013 | 511 |
| 4 | Hidden technical debt in Machine learning systems Hit paper breakdown → | 2015 | 457 |
| 5 | 2010 | 151 | |
| 6 | Machine Learning: The High Interest Credit Card of Technical Debt | 2014 | 126 |
| 7 | 2010 | 55 | |
| 8 | 2006 | 7 | |
| 9 | 2002 | 1 |
About Eugene Davydov
Eugene Davydov is a scholar working on Molecular Biology, Information Systems, Computer Networks and Communications, Information Systems and Management and Artificial Intelligence, having authored 9 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Data Storage Technologies (2 papers), Scientific Computing and Data Management (2 papers), Software Engineering Research (2 papers), Genetic Associations and Epidemiology (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (890 citations), Health Informatics (35 citations), Molecular Biology (1.3k citations), Information Systems (420 citations) and Artificial Intelligence (588 citations). Eugene Davydov has collaborated with scholars based in United States and Russia. Frequent co-authors include Serafim Batzoglou, Gregory M. Cooper, Arend Sidow, Marina Sirota, David L. Goode, Michael Brudno, NISC Comparative Sequencing Program, Eric D. Green, Todd Phillips and D. Sculley. Their work appears in journals such as Genome Research, PLoS ONE, PLoS Computational Biology, Theoretical Computer Science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.