Rachel Pieciak
- Modeling and Simulation top 5%
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- SARS-CoV-2 and COVID-19 Research 2
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- Respiratory viral infections research 5
- Pneumonia and Respiratory Infections 2
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- Ultrasound in Clinical Applications 5
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- Neonatal Respiratory Health Research 5
- Tracheal and airway disorders 3
- Lung Cancer Diagnosis and Treatment 2
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- COVID-19 diagnosis using AI 3
- Co-authors
- Christopher GillLawrence MwananyandaWilliam MacLeodDonald M. TheaGeoffrey KwendaRotem LapidotLeah S. FormanFrancis Mupeta
- Journals
- Clinical Infectious Diseases (4 papers)Open Forum Infectious Diseases (2 papers)Radiology Artificial Intelligence (1 paper)
- Partner nations
- United StatesZambiaItaly
In The Last Decade
Rachel Pieciak
13 papers receiving 166 citations
Peers
Comparison fields: 5 of 43
- Modeling and Simulation 62
- Infectious Diseases 81
- Microbiology 21
- Health 19
- Epidemiology 49
Countries citing papers authored by Rachel Pieciak
This map shows the geographic impact of Rachel Pieciak'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 Rachel Pieciak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Pieciak more than expected).
Fields of papers citing papers by Rachel Pieciak
This network shows the impact of papers produced by Rachel Pieciak. 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 Rachel Pieciak. The network helps show where Rachel Pieciak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel Pieciak, 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 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 112 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 1 |
About Rachel Pieciak
Rachel Pieciak is a scholar working on Critical Care and Intensive Care Medicine, Microbiology, Pulmonary and Respiratory Medicine, Modeling and Simulation and Infectious Diseases, having authored 14 papers that have together received 166 indexed citations. Recurring topics across this work include Respiratory viral infections research (5 papers), Ultrasound in Clinical Applications (5 papers), Neonatal Respiratory Health Research (5 papers), COVID-19 diagnosis using AI (3 papers), Tracheal and airway disorders (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Infectious Diseases (81 citations), Microbiology (21 citations), Health (19 citations) and Epidemiology (49 citations). Rachel Pieciak has collaborated with scholars based in United States, Zambia and Italy. Frequent co-authors include Christopher Gill, Lawrence Mwananyanda, William MacLeod, Donald M. Thea, Geoffrey Kwenda, Rotem Lapidot, Leah S. Forman, Francis Mupeta, Christian E. Gunning and Pejman Rohani. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, Radiology Artificial Intelligence, BMJ Open and BMC Pediatrics.
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.