Nicholas Generous
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
- Epidemiology 18
- Data-Driven Disease Surveillance 18
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- Mosquito-borne diseases and control 3
- Mathematical and Theoretical Epidemiology and Ecology Models 1
- Co-authors
- Reid Priedhorsky (10 shared papers)Geoffrey Colin Fairchild (13 shared papers)Sara Y. Del Valle (10 shared papers)Alina Deshpande (14 shared papers)James Mac Hyman (3 shared papers)Kyle S. Hickmann (2 shared papers)Dave Osthus (4 shared papers)Ashlynn R. Daughton (6 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Computational Biology (2 papers)BMC Infectious Diseases (2 papers)EPJ Data Science (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesBrazilSingapore
In The Last Decade
Nicholas Generous
24 papers receiving 760 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 60
- Epidemiology 353
- Transportation 49
- Communication 54
- Public Health, Environmental and Occupational Health 113
Countries citing papers authored by Nicholas Generous
This map shows the geographic impact of Nicholas Generous'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 Nicholas Generous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Generous more than expected).
Fields of papers citing papers by Nicholas Generous
This network shows the impact of papers produced by Nicholas Generous. 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 Nicholas Generous. The network helps show where Nicholas Generous may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Generous, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 199 | |
| 2 | 2015 | 140 | |
| 3 | 2014 | 137 | |
| 4 | 2016 | 71 | |
| 5 | 2018 | 40 | |
| 6 | 2016 | 36 | |
| 7 | 2019 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2017 | 18 | |
| 10 | 2014 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 6 | |
| 16 | 2014 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2014 | 2 | |
| 20 | 2017 | 2 |
About Nicholas Generous
Nicholas Generous is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Information Systems, Health Information Management and Information Systems and Management, having authored 24 papers that have together received 780 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (18 papers), Mosquito-borne diseases and control (3 papers), Research Data Management Practices (2 papers), Electronic Health Records Systems (1 paper), Information and Cyber Security (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Protein Structure and Dynamics (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (60 citations), Epidemiology (353 citations), Transportation (49 citations), Communication (54 citations) and Public Health, Environmental and Occupational Health (113 citations). Nicholas Generous has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Reid Priedhorsky, Geoffrey Colin Fairchild, Sara Y. Del Valle, Alina Deshpande, James Mac Hyman, Kyle S. Hickmann, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran and Nileena Velappan. Their work appears in journals such as PLoS ONE, PLoS Computational Biology, BMC Infectious Diseases, EPJ Data Science and Frontiers in Bioengineering and Biotechnology.
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.