Gregory V. Stark
Impact in
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
- Virology top 10%
Papers in
-
- Bacillus and Francisella bacterial research 13
-
- Viral Infections and Outbreaks Research 6
- Co-authors
- Ömer Öztürk (2 shared papers)Douglas A. Wolfe (2 shared papers)Steven N. MacEachern (2 shared papers)Lisa N. Henning (4 shared papers)James P. Long (4 shared papers)Jason E. Comer (4 shared papers)Conrad P. Quinn (3 shared papers)Jarad Schiffer (3 shared papers)
- Journals
- Clinical and Vaccine Immunology (4 papers)Vaccine (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Pathogens (2 papers)Virology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Gregory V. Stark
18 papers receiving 428 citations
Peers
Comparison fields: 5 of 65
- Statistics and Probability 86
- Virology 35
- Statistics, Probability and Uncertainty 55
- Infectious Diseases 127
- Endocrinology 20
Countries citing papers authored by Gregory V. Stark
This map shows the geographic impact of Gregory V. Stark'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 Gregory V. Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory V. Stark more than expected).
Fields of papers citing papers by Gregory V. Stark
This network shows the impact of papers produced by Gregory V. Stark. 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 Gregory V. Stark. The network helps show where Gregory V. Stark may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory V. Stark, 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 | 2002 | 87 | |
| 2 | 2013 | 53 | |
| 3 | 2012 | 43 | |
| 4 | 2012 | 32 | |
| 5 | 2016 | 30 | |
| 6 | 2013 | 29 | |
| 7 | 2014 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2012 | 25 | |
| 10 | 2017 | 21 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2012 | 7 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 1 | |
| 19 | A new ranked set sample estimator of variance | 2003 | 0 |
About Gregory V. Stark
Gregory V. Stark is a scholar working on Molecular Biology, Infectious Diseases, Biotechnology, Epidemiology and Genetics, having authored 19 papers that have together received 453 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (13 papers), Microbial Inactivation Methods (6 papers), Viral Infections and Outbreaks Research (6 papers), Influenza Virus Research Studies (4 papers), Fuzzy Systems and Optimization (2 papers), Respiratory viral infections research (2 papers), Advanced Statistical Process Monitoring (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Statistics and Probability (86 citations), Virology (35 citations), Statistics, Probability and Uncertainty (55 citations), Infectious Diseases (127 citations) and Endocrinology (20 citations). Gregory V. Stark has collaborated with scholars based in United States and Japan. Frequent co-authors include Ömer Öztürk, Douglas A. Wolfe, Steven N. MacEachern, Lisa N. Henning, James P. Long, Jason E. Comer, Conrad P. Quinn, Jarad Schiffer, Edwin O. Nuzum and Gabriel Meister. Their work appears in journals such as Clinical and Vaccine Immunology, Vaccine, Antimicrobial Agents and Chemotherapy, Pathogens and Virology.
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.