David H. Silver
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 1
- Ecology 3
- Bacteriophages and microbial interactions 2
- Microbial Community Ecology and Physiology 1
- Co-authors
- Itai Yanai (4 shared papers)Amnon Harel (1 shared paper)Lihi Shaulov (1 shared paper)Gazalah Sabehi (1 shared paper)Debbie Lindell (1 shared paper)Ron Kimmel (1 shared paper)Vitaly Surazhsky (1 shared paper)Zachi Karni (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular BioSystems (1 paper)Bioinformatics (1 paper)Human Reproduction (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- IsraelUnited KingdomSwitzerland
In The Last Decade
David H. Silver
6 papers receiving 207 citations
Peers
Comparison fields: 5 of 72
- Aging 7
- Health Informatics 5
- Ecology 90
- Human-Computer Interaction 15
- Reproductive Medicine 17
Countries citing papers authored by David H. Silver
This map shows the geographic impact of David H. Silver'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 David H. Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Silver more than expected).
Fields of papers citing papers by David H. Silver
This network shows the impact of papers produced by David H. Silver. 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 David H. Silver. The network helps show where David H. Silver may publish in the future.
Co-authors
The 22 scholars most cited alongside David H. Silver, 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 | 2012 | 90 | |
| 2 | 2019 | 61 | |
| 3 | 2022 | 35 | |
| 4 | 2018 | 17 | |
| 5 | 2013 | 6 | |
| 6 | 2012 | 2 |
About David H. Silver
David H. Silver is a scholar working on Molecular Biology, Ecology, Aging, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 211 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Reproductive Health and Technologies (1 paper), Bioinformatics and Genomic Networks (1 paper), Image Processing Techniques and Applications (1 paper), Optical measurement and interference techniques (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Aging (7 citations), Health Informatics (5 citations), Ecology (90 citations), Human-Computer Interaction (15 citations) and Reproductive Medicine (17 citations). David H. Silver has collaborated with scholars based in Israel, United Kingdom and Switzerland. Frequent co-authors include Itai Yanai, Amnon Harel, Lihi Shaulov, Gazalah Sabehi, Debbie Lindell, Ron Kimmel, Vitaly Surazhsky, Zachi Karni, Alexander M. Bronstein and Michael M. Bronstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular BioSystems, Bioinformatics, Human Reproduction and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.