Danielle N. Rivera
- Pulmonary and Respiratory Medicine top 5%
- Modeling and Simulation top 1%
- Infectious Diseases top 10%
- Oncology
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Joshua L. SantarpiaVicki L. HerreraJames V. LawlerJohn J. LoweDavid M. Brett‐MajorSt Patrick ReidKevin K. CrownM. Jane Morwitzer
- Topics
- Infection Control and Ventilation (8 papers)COVID-19 epidemiological studies (4 papers)COVID-19 and healthcare impacts (4 papers)
- Journals
- PLoS ONEScientific ReportsInternational Journal of Environmental Research and Public Health
- Partner nations
- United States
In The Last Decade
Danielle N. Rivera
11 papers receiving 579 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Pulmonary and Respiratory Medicine 457
- Modeling and Simulation 207
- Infectious Diseases 194
- Oncology 161
- Health, Toxicology and Mutagenesis 83
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-authorship network of co-authors of Danielle N. Rivera
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle N. Rivera. A scholar is included among the top collaborators of Danielle N. Rivera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle N. Rivera. Danielle N. Rivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 98 | |
| 10 | Aerosol and surface contamination of SARS-CoV-2 observed in quarantine and isolation carebreakdown → | 421 |
| 11 | TRANSCOM/AMC Commercial Aircraft Cabin Aerosol Dispersion Tests | 21 |
| 12 | 17 | |
| 13 | Sulfuric Acid Decomposition with Heat and Mass Recovery Using a Direct Contact Exchanger. | 1 |
About Danielle N. Rivera
Danielle N. Rivera is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine and Ocean Engineering, having authored 13 papers that have together received 593 indexed citations. Recurring topics across this work include Infection Control and Ventilation (8 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Modeling and Simulation (207 citations), General Dentistry (33 citations) and Pulmonary and Respiratory Medicine (457 citations). Danielle N. Rivera has collaborated with scholars based in United States. Frequent co-authors include Joshua L. Santarpia, Vicki L. Herrera, James V. Lawler, John J. Lowe, David M. Brett‐Major, St Patrick Reid, Kevin K. Crown, M. Jane Morwitzer, Hannah M. Creager and Elizabeth Schnaubelt. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.
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.