Miriam Elser
Impact in
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- Air Quality and Health Impacts
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
Papers in
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- Vehicle emissions and performance 17
- Co-authors
- Imad El HaddadAndrê S. H. PrévôtRu‐Jin HuangJay G. SlowikCarlo BozzettiJunji CaoGuohui LiUrs Baltensperger
- Journals
- Atmospheric chemistry and physics (8 papers)Environmental Science & Technology (4 papers)IEEE Access (2 papers)Environmental Pollution (2 papers)Transportation Research Part D Transport and Environment (1 paper)
- Partner nations
- SwitzerlandChinaSpain
In The Last Decade
Miriam Elser
26 papers receiving 967 citations
Peers
Comparison fields: 5 of 70
- Health, Toxicology and Mutagenesis 719
- Atmospheric Science 690
- Automotive Engineering 249
- Environmental Engineering 289
- Global and Planetary Change 308
Countries citing papers authored by Miriam Elser
This map shows the geographic impact of Miriam Elser'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 Miriam Elser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Elser more than expected).
Fields of papers citing papers by Miriam Elser
This network shows the impact of papers produced by Miriam Elser. 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 Miriam Elser. The network helps show where Miriam Elser may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Elser, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 38 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 86 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 65 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 79 | |
| 17 | 2017 | 28 | |
| 18 | 2017 | 55 | |
| 19 | 2016 | 35 | |
| 20 | Source apportionment of particulate matter in Chinese megacities: the implication for emission control strategies | 2015 | 1 |
About Miriam Elser
Miriam Elser is a scholar working on Computational Mathematics, Automotive Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science and Global and Planetary Change, having authored 28 papers that have together received 979 indexed citations. Recurring topics across this work include Vehicle emissions and performance (17 papers), Air Quality and Health Impacts (14 papers), Atmospheric chemistry and aerosols (10 papers), Advanced Aircraft Design and Technologies (8 papers), Air Quality Monitoring and Forecasting (6 papers), Atmospheric aerosols and clouds (3 papers), Energy, Environment, and Transportation Policies (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (719 citations), Atmospheric Science (690 citations), Automotive Engineering (249 citations), Environmental Engineering (289 citations) and Global and Planetary Change (308 citations). Miriam Elser has collaborated with scholars based in Switzerland, China and Spain. Frequent co-authors include Imad El Haddad, Andrê S. H. Prévôt, Ru‐Jin Huang, Jay G. Slowik, Carlo Bozzetti, Junji Cao, Guohui Li, Urs Baltensperger, Robert Wolf and Kaspar R. Daellenbach. Their work appears in journals such as Atmospheric chemistry and physics, Environmental Science & Technology, IEEE Access, Environmental Pollution and Transportation Research Part D Transport and Environment.
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.