Shelly I. Eberly
- Health, Toxicology and Mutagenesis top 0.5%
- Atmospheric Science top 2%
- Environmental Engineering top 2%
- Automotive Engineering top 2%
- Pollution top 5%
- Co-authors
- Pentti PaateroSteve BrownGary NorrisPrakash V. BhaveAdam ReffPhilip K. HopkeDavid H. Eberly
- Topics
- Air Quality and Health Impacts (4 papers)Air Quality Monitoring and Forecasting (3 papers)Vehicle emissions and performance (3 papers)
- Journals
- Environmental Science & TechnologyThe Science of The Total EnvironmentAtmospheric measurement techniques
- Partner nations
- United StatesFinland
In The Last Decade
Shelly I. Eberly
6 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Health, Toxicology and Mutagenesis 1.3k
- Atmospheric Science 1.1k
- Environmental Engineering 596
- Automotive Engineering 301
- Pollution 272
Countries citing papers authored by Shelly I. Eberly
This map shows the geographic impact of Shelly I. Eberly'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 Shelly I. Eberly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelly I. Eberly more than expected).
Fields of papers citing papers by Shelly I. Eberly
This network shows the impact of papers produced by Shelly I. Eberly. 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 Shelly I. Eberly. The network helps show where Shelly I. Eberly may publish in the future.
Co-authorship network of co-authors of Shelly I. Eberly
This figure shows the co-authorship network connecting the top 25 collaborators of Shelly I. Eberly. A scholar is included among the top collaborators of Shelly I. Eberly 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 Shelly I. Eberly. Shelly I. Eberly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF resultsbreakdown → | 525 |
| 2 | Methods for estimating uncertainty in factor analytic solutionsbreakdown → | 414 |
| 3 | Receptor Modeling of Ambient Particulate Matter Data Using Positive Matrix Factorization: Review of Existing Methodsbreakdown → | 581 |
| 4 | 59 | |
| 5 | 14 | |
| 6 | 13 |
About Shelly I. Eberly
Shelly I. Eberly is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Environmental Engineering, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (3 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Atmospheric Science (1.1k citations) and Environmental Engineering (596 citations). Shelly I. Eberly has collaborated with scholars based in United States and Finland. Frequent co-authors include Pentti Paatero, Steve Brown, Gary Norris, Prakash V. Bhave, Adam Reff, Philip K. Hopke and David H. Eberly. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Atmospheric measurement techniques.
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.