Danielle N. Rivera
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- General Dentistry top 5%
Papers in
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- Infection Control and Ventilation 8
-
- Particle Dynamics in Fluid Flows 3
- Co-authors
- Joshua L. Santarpia (11 shared papers)Vicki L. Herrera (9 shared papers)David M. Brett‐Major (2 shared papers)St Patrick Reid (3 shared papers)John J. Lowe (3 shared papers)James V. Lawler (2 shared papers)Kevin K. Crown (4 shared papers)Elizabeth Schnaubelt (1 shared paper)
- Journals
- Aerosol Science and Technology (3 papers)PLoS ONE (2 papers)Ecotoxicology and Environmental Safety (1 paper)International Journal of Environmental Research and Public Health (1 paper)Viruses (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle N. Rivera
11 papers receiving 584 citations
Danielle N. Rivera's Hit Papers
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 172
- General Dentistry 31
- Pulmonary and Respiratory Medicine 449
- Infectious Diseases 168
- Health, Toxicology and Mutagenesis 75
Countries citing papers authored by Danielle N. Rivera
This map shows the geographic impact of Danielle N. Rivera'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 Danielle N. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle N. Rivera more than expected).
Fields of papers citing papers by Danielle N. Rivera
This network shows the impact of papers produced by Danielle N. Rivera. 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 Danielle N. Rivera. The network helps show where Danielle N. Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle N. Rivera, 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 | Aerosol and surface contamination of SARS-CoV-2 observed in quarantine and isolation care Hit paper breakdown → | 2020 | 421 |
| 2 | 2021 | 98 | |
| 3 | TRANSCOM/AMC Commercial Aircraft Cabin Aerosol Dispersion Tests | 2020 | 24 |
| 4 | 2012 | 17 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | Sulfuric Acid Decomposition with Heat and Mass Recovery Using a Direct Contact Exchanger. | 2006 | 1 |
| 13 | 2024 | 0 |
About Danielle N. Rivera
Danielle N. Rivera is a scholar working on Pulmonary and Respiratory Medicine, Ocean Engineering, Oncology, Modeling and Simulation and Infectious Diseases, having authored 13 papers that have together received 597 indexed citations. Recurring topics across this work include Infection Control and Ventilation (8 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 epidemiological studies (3 papers), Particle Dynamics in Fluid Flows (3 papers), Atmospheric chemistry and aerosols (2 papers), Air Quality and Health Impacts (2 papers), Industrial Gas Emission Control (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Modeling and Simulation (172 citations), General Dentistry (31 citations), Pulmonary and Respiratory Medicine (449 citations), Infectious Diseases (168 citations) and Health, Toxicology and Mutagenesis (75 citations). Danielle N. Rivera has collaborated with scholars based in United States. Frequent co-authors include Joshua L. Santarpia, Vicki L. Herrera, David M. Brett‐Major, St Patrick Reid, John J. Lowe, James V. Lawler, Kevin K. Crown, Elizabeth Schnaubelt, M. Jana Broadhurst and M. Jane Morwitzer. Their work appears in journals such as Aerosol Science and Technology, PLoS ONE, Ecotoxicology and Environmental Safety, International Journal of Environmental Research and Public Health and Viruses.
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.