Daniel N. Ackerman
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Infection Control and Ventilation
Papers in
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- Infection Control and Ventilation 6
-
- COVID-19 epidemiological studies 2
- Co-authors
- Joshua L. Santarpia (12 shared papers)St Patrick Reid (6 shared papers)Jingwei Xie (3 shared papers)Vicki L. Herrera (7 shared papers)Yajuan Su (3 shared papers)John J. Lowe (4 shared papers)Danielle N. Rivera (5 shared papers)Paul W. Denton (1 shared paper)
- Journals
- Aerosol Science and Technology (2 papers)Pathogens (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Annals of Emergency Medicine (1 paper)Journal of Exposure Science & Environmental Epidemiology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel N. Ackerman
11 papers receiving 287 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 41
- Pulmonary and Respiratory Medicine 109
- General Dentistry 5
- Biomedical Engineering 117
- Infectious Diseases 44
Countries citing papers authored by Daniel N. Ackerman
This map shows the geographic impact of Daniel N. Ackerman'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 Daniel N. Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Ackerman more than expected).
Fields of papers citing papers by Daniel N. Ackerman
This network shows the impact of papers produced by Daniel N. Ackerman. 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 Daniel N. Ackerman. The network helps show where Daniel N. Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel N. Ackerman, 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 | 2023 | 122 | |
| 2 | 2021 | 110 | |
| 3 | 2021 | 22 | |
| 4 | 2019 | 15 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Daniel N. Ackerman
Daniel N. Ackerman is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Infectious Diseases, Biomaterials and Virology, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Infection Control and Ventilation (6 papers), COVID-19 epidemiological studies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), COVID-19 and healthcare impacts (2 papers), CRISPR and Genetic Engineering (1 paper), Biosensors and Analytical Detection (1 paper), RNA Interference and Gene Delivery (1 paper) and Infection Control in Healthcare (1 paper). The work is most often cited by research in Modeling and Simulation (41 citations), Pulmonary and Respiratory Medicine (109 citations), General Dentistry (5 citations), Biomedical Engineering (117 citations) and Infectious Diseases (44 citations). Daniel N. Ackerman has collaborated with scholars based in United States. Frequent co-authors include Joshua L. Santarpia, St Patrick Reid, Jingwei Xie, Vicki L. Herrera, Yajuan Su, John J. Lowe, Danielle N. Rivera, Paul W. Denton, David M. Brett‐Major and Shanna A. Ratnesar-Shumate. Their work appears in journals such as Aerosol Science and Technology, Pathogens, Molecular Therapy — Nucleic Acids, Annals of Emergency Medicine and Journal of Exposure Science & Environmental Epidemiology.
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.