Ellis S. Robinson
- Atmospheric Science top 1%
- Health, Toxicology and Mutagenesis top 0.5%
- Global and Planetary Change top 2%
- Environmental Engineering top 1%
- Automotive Engineering top 2%
- Co-authors
- Allen L. RobinsonNeil M. DonahueAlbert A. PrestoRawad SalehRyan C. SullivanNaomi ZimmermanQing YeAliaksei Hauryliuk
- Topics
- Atmospheric chemistry and aerosols (54 papers)Air Quality and Health Impacts (36 papers)Atmospheric Ozone and Climate (22 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of Geophysical Research Atmospheres
- Partner nations
- United StatesGreeceSwitzerland
In The Last Decade
Ellis S. Robinson
68 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Atmospheric Science 2.0k
- Health, Toxicology and Mutagenesis 1.6k
- Global and Planetary Change 1.1k
- Environmental Engineering 760
- Automotive Engineering 355
Countries citing papers authored by Ellis S. Robinson
This map shows the geographic impact of Ellis S. Robinson'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 Ellis S. Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellis S. Robinson more than expected).
Fields of papers citing papers by Ellis S. Robinson
This network shows the impact of papers produced by Ellis S. Robinson. 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 Ellis S. Robinson. The network helps show where Ellis S. Robinson may publish in the future.
Co-authorship network of co-authors of Ellis S. Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of Ellis S. Robinson. A scholar is included among the top collaborators of Ellis S. Robinson 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 Ellis S. Robinson. Ellis S. Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | 36 | |
| 10 | 83 | |
| 11 | 84 | |
| 12 | 51 | |
| 13 | 70 | |
| 14 | 33 | |
| 15 | 47 | |
| 16 | 3 | |
| 17 | A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoringbreakdown → | 384 |
| 18 | 48 | |
| 19 | 27 | |
| 20 | 294 |
About Ellis S. Robinson
Ellis S. Robinson is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 72 papers that have together received 2.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (36 papers) and Atmospheric Ozone and Climate (22 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.6k citations), Atmospheric Science (2.0k citations) and Environmental Engineering (760 citations). Ellis S. Robinson has collaborated with scholars based in United States, Greece and Switzerland. Frequent co-authors include Allen L. Robinson, Neil M. Donahue, Albert A. Presto, Rawad Saleh, Ryan C. Sullivan, Naomi Zimmerman, Qing Ye, Aliaksei Hauryliuk, Joshua S. Apte and B. A. Ridley. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.
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.