Manob Das
Impact in
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- COVID-19 impact on air quality
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- Urban Green Space and Health
Papers in
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- Land Use and Ecosystem Services 46
- Conservation, Biodiversity, and Resource Management 14
- COVID-19 impact on air quality 5
- Flood Risk Assessment and Management 4
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- Urban Green Space and Health 30
- Air Quality and Health Impacts 7
- Co-authors
- Arijit Das (59 shared papers)Ashis Kumar Mandal (11 shared papers)Paulo Pereira (18 shared papers)Rajiv Pandey (5 shared papers)Raju Sarkar (9 shared papers)Sunil Saha (8 shared papers)Sasanka Ghosh (3 shared papers)Tirthankar Basu (1 shared paper)
In The Last Decade
Manob Das
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Global and Planetary Change 901
- Health, Toxicology and Mutagenesis 516
- Environmental Engineering 528
- Modeling and Simulation 76
- Speech and Hearing 75
Countries citing papers authored by Manob Das
This map shows the geographic impact of Manob Das'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 Manob Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manob Das more than expected).
Fields of papers citing papers by Manob Das
This network shows the impact of papers produced by Manob Das. 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 Manob Das. The network helps show where Manob Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Manob Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2020 | 93 | |
| 3 | 2020 | 91 | |
| 4 | 2020 | 85 | |
| 5 | 2022 | 83 | |
| 6 | 2021 | 82 | |
| 7 | 2021 | 66 | |
| 8 | 2020 | 63 | |
| 9 | 2019 | 50 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 43 | |
| 12 | 2021 | 36 | |
| 13 | 2020 | 34 | |
| 14 | 2022 | 34 | |
| 15 | 2022 | 34 | |
| 16 | 2021 | 28 | |
| 17 | 2019 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2024 | 22 |
About Manob Das
Manob Das is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering, Ecology and Economics and Econometrics, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (46 papers), Urban Green Space and Health (30 papers), Urban Heat Island Mitigation (22 papers), Conservation, Biodiversity, and Resource Management (14 papers), Air Quality and Health Impacts (7 papers), Urban Agriculture and Sustainability (6 papers), COVID-19 impact on air quality (5 papers) and Flood Risk Assessment and Management (4 papers). The work is most often cited by research in Global and Planetary Change (901 citations), Health, Toxicology and Mutagenesis (516 citations), Environmental Engineering (528 citations), Modeling and Simulation (76 citations) and Speech and Hearing (75 citations). Manob Das has collaborated with scholars based in India, Lithuania and Spain. Frequent co-authors include Arijit Das, Ashis Kumar Mandal, Paulo Pereira, Rajiv Pandey, Raju Sarkar, Sunil Saha, Sasanka Ghosh, Tirthankar Basu, Ipsita Dutta and Miguel Inácio. Their work appears in journals such as Urban Climate, Environmental Science and Pollution Research, Sustainable Cities and Society, GeoJournal and Geoscience Frontiers.
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.