Ebrahim Eslami
Impact in
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Hydrological Forecasting Using AI
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- Air Quality and Health Impacts
Papers in
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- Air Quality and Health Impacts 6
- Urban Green Space and Health 1
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- Air Quality Monitoring and Forecasting 5
- Co-authors
- Yunsoo Choi (8 shared papers)Yannic Lops (8 shared papers)Alqamah Sayeed (8 shared papers)Anirban Roy (2 shared papers)Jia Jung (2 shared papers)Ahmed Khan Salman (2 shared papers)Shuai Pan (1 shared paper)H. Oliver Gao (1 shared paper)
- Journals
- Neural Computing and Applications (3 papers)Atmospheric Environment (2 papers)Neural Networks (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Journal of Geophysical Research Atmospheres (1 paper)
- Partner nations
- United StatesIran
In The Last Decade
Ebrahim Eslami
13 papers receiving 466 citations
Peers
Comparison fields: 5 of 72
- Environmental Engineering 301
- Health, Toxicology and Mutagenesis 241
- Atmospheric Science 202
- Automotive Engineering 76
- Global and Planetary Change 96
Countries citing papers authored by Ebrahim Eslami
This map shows the geographic impact of Ebrahim Eslami'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 Ebrahim Eslami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrahim Eslami more than expected).
Fields of papers citing papers by Ebrahim Eslami
This network shows the impact of papers produced by Ebrahim Eslami. 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 Ebrahim Eslami. The network helps show where Ebrahim Eslami may publish in the future.
Co-authors
The 13 scholars most cited alongside Ebrahim Eslami, 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 | 2019 | 126 | |
| 2 | 2019 | 83 | |
| 3 | 2019 | 68 | |
| 4 | 2019 | 62 | |
| 5 | 2021 | 48 | |
| 6 | 2022 | 31 | |
| 7 | 2019 | 27 | |
| 8 | 2020 | 11 | |
| 9 | 2016 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 1 | |
| 12 | CAMQ-AI: A computationally efficient deep learning model to improve CMAQ performance over the United States | 2019 | 1 |
| 13 | 2009 | 1 |
About Ebrahim Eslami
Ebrahim Eslami is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Atmospheric Science, Building and Construction and Global and Planetary Change, having authored 13 papers that have together received 472 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (5 papers), Air Quality Monitoring and Forecasting (5 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Urban Green Space and Health (1 paper), Allergic Rhinitis and Sensitization (1 paper), Vehicle emissions and performance (1 paper) and Innovations in Concrete and Construction Materials (1 paper). The work is most often cited by research in Environmental Engineering (301 citations), Health, Toxicology and Mutagenesis (241 citations), Atmospheric Science (202 citations), Automotive Engineering (76 citations) and Global and Planetary Change (96 citations). Ebrahim Eslami has collaborated with scholars based in United States and Iran. Frequent co-authors include Yunsoo Choi, Yannic Lops, Alqamah Sayeed, Anirban Roy, Jia Jung, Ahmed Khan Salman, Shuai Pan, H. Oliver Gao, John F. Mejía and Marziyeh Ajdary. Their work appears in journals such as Neural Computing and Applications, Atmospheric Environment, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems 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.