Aliaksei Hauryliuk
- Environmental Engineering top 1%
- Health, Toxicology and Mutagenesis top 1%
- Atmospheric Science top 5%
- Automotive Engineering top 5%
- Global and Planetary Change top 10%
- Co-authors
- Albert A. PrestoAllen L. RobinsonNaomi ZimmermanCarl MalingsSriniwasa P. N. KumarR. SubramanianRebecca TanzerEllis S. Robinson
- Topics
- Air Quality and Health Impacts (13 papers)Air Quality Monitoring and Forecasting (12 papers)Vehicle emissions and performance (4 papers)
- Journals
- The Science of The Total EnvironmentInternational Journal of Environmental Research and Public HealthAerosol Science and Technology
- Partner nations
- United StatesFranceCanada
In The Last Decade
Aliaksei Hauryliuk
13 papers receiving 947 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Environmental Engineering 842
- Health, Toxicology and Mutagenesis 718
- Atmospheric Science 302
- Automotive Engineering 192
- Global and Planetary Change 162
Countries citing papers authored by Aliaksei Hauryliuk
This map shows the geographic impact of Aliaksei Hauryliuk'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 Aliaksei Hauryliuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliaksei Hauryliuk more than expected).
Fields of papers citing papers by Aliaksei Hauryliuk
This network shows the impact of papers produced by Aliaksei Hauryliuk. 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 Aliaksei Hauryliuk. The network helps show where Aliaksei Hauryliuk may publish in the future.
Co-authorship network of co-authors of Aliaksei Hauryliuk
This figure shows the co-authorship network connecting the top 25 collaborators of Aliaksei Hauryliuk. A scholar is included among the top collaborators of Aliaksei Hauryliuk 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 Aliaksei Hauryliuk. Aliaksei Hauryliuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 34 | |
| 3 | 23 | |
| 4 | 23 | |
| 5 | 206 | |
| 6 | 134 | |
| 7 | 26 | |
| 8 | 43 | |
| 9 | A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoringbreakdown → | 384 |
| 10 | 57 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 27 |
About Aliaksei Hauryliuk
Aliaksei Hauryliuk is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Speech and Hearing, having authored 13 papers that have together received 964 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Air Quality Monitoring and Forecasting (12 papers) and Vehicle emissions and performance (4 papers). The work is most often cited by research in Environmental Engineering (842 citations), Health, Toxicology and Mutagenesis (718 citations) and Atmospheric Science (302 citations). Aliaksei Hauryliuk has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Albert A. Presto, Allen L. Robinson, Naomi Zimmerman, Carl Malings, Sriniwasa P. N. Kumar, R. Subramanian, Rebecca Tanzer, Ellis S. Robinson, Jason Gu and Provat K. Saha. Their work appears in journals such as The Science of The Total Environment, International Journal of Environmental Research and Public Health and Aerosol Science and Technology.
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.