Chintan Nanda
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Environmental Engineering top 10%
- Air Quality Monitoring and Forecasting
Papers in
-
- Air Quality and Health Impacts 5
-
- Air Quality Monitoring and Forecasting 5
- Co-authors
- Dharmendra Singh (4 shared papers)Rahul Kumar (1 shared paper)Ramesh Singh (1 shared paper)Alfonso J. Rodríguez‐Morales (1 shared paper)Pavan Kumar (1 shared paper)Ranjit Sah (1 shared paper)Jamal Rahmani (1 shared paper)Meenu Rani (1 shared paper)
- Journals
- Journal of Environmental Management (1 paper)JMIR Public Health and Surveillance (1 paper)Spatial Information Research (1 paper)Journal of the Indian Society of Remote Sensing (1 paper)International Journal for Research in Applied Science and Engineering Technology (1 paper)
- Partner nations
- IndiaColombiaSaudi Arabia
In The Last Decade
Chintan Nanda
7 papers receiving 268 citations
Peers
Comparison fields: 5 of 77
- Modeling and Simulation 84
- Environmental Engineering 79
- Health, Toxicology and Mutagenesis 66
- Global and Planetary Change 53
- Economics and Econometrics 58
Countries citing papers authored by Chintan Nanda
This map shows the geographic impact of Chintan Nanda'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 Chintan Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chintan Nanda more than expected).
Fields of papers citing papers by Chintan Nanda
This network shows the impact of papers produced by Chintan Nanda. 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 Chintan Nanda. The network helps show where Chintan Nanda may publish in the future.
Co-authors
The 14 scholars most cited alongside Chintan Nanda, 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 | 2020 | 145 | |
| 2 | 2021 | 95 | |
| 3 | 2018 | 11 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 2 |
About Chintan Nanda
Chintan Nanda is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Modeling and Simulation, having authored 7 papers that have together received 275 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), Air Quality Monitoring and Forecasting (5 papers), COVID-19 impact on air quality (3 papers), Atmospheric chemistry and aerosols (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (84 citations), Environmental Engineering (79 citations), Health, Toxicology and Mutagenesis (66 citations), Global and Planetary Change (53 citations) and Economics and Econometrics (58 citations). Chintan Nanda has collaborated with scholars based in India, Colombia and Saudi Arabia. Frequent co-authors include Dharmendra Singh, Rahul Kumar, Ramesh Singh, Alfonso J. Rodríguez‐Morales, Pavan Kumar, Ranjit Sah, Jamal Rahmani, Meenu Rani, Himangshu Kalita and Akshaya Srikanth Bhagavathula. Their work appears in journals such as Journal of Environmental Management, JMIR Public Health and Surveillance, Spatial Information Research, Journal of the Indian Society of Remote Sensing and International Journal for Research in Applied Science and Engineering 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.