Preet Lal
Impact in
- Global and Planetary Change top 5%
- COVID-19 impact on air quality
- Flood Risk Assessment and Management
- Climate variability and models
- Land Use and Ecosystem Services
- Environmental Engineering top 5%
- Soil Moisture and Remote Sensing
Papers in
-
- Soil Moisture and Remote Sensing 5
-
- Flood Risk Assessment and Management 5
- Climate variability and models 4
- COVID-19 impact on air quality 3
- Co-authors
- Amit KumarShubham KumarPurabi SaikiaMohammed Latif KhanNarendra N. DasAnkit ShekharDibyendu AdhikariMana Gharun
- Journals
- Geocarto International (4 papers)Remote Sensing of Environment (2 papers)Advances in Space Research (2 papers)Natural Hazards (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Preet Lal
26 papers receiving 667 citations
Peers
Comparison fields: 5 of 90
- Global and Planetary Change 436
- Environmental Engineering 216
- Atmospheric Science 203
- Modeling and Simulation 40
- Health, Toxicology and Mutagenesis 114
Countries citing papers authored by Preet Lal
This map shows the geographic impact of Preet Lal'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 Preet Lal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preet Lal more than expected).
Fields of papers citing papers by Preet Lal
This network shows the impact of papers produced by Preet Lal. 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 Preet Lal. The network helps show where Preet Lal may publish in the future.
Co-authors
The 25 scholars most cited alongside Preet Lal, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 58 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 46 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 66 | |
| 14 | 2020 | 167 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 35 | |
| 17 | 2020 | 32 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 0 | |
| 20 | 2018 | 9 |
About Preet Lal
Preet Lal is a scholar working on Environmental Engineering, Global and Planetary Change, Atmospheric Science, Modeling and Simulation and Management, Monitoring, Policy and Law, having authored 28 papers that have together received 682 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (5 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers), Flood Risk Assessment and Management (5 papers), Cryospheric studies and observations (4 papers), Climate variability and models (4 papers), Tropical and Extratropical Cyclones Research (4 papers), COVID-19 impact on air quality (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Global and Planetary Change (436 citations), Environmental Engineering (216 citations), Atmospheric Science (203 citations), Modeling and Simulation (40 citations) and Health, Toxicology and Mutagenesis (114 citations). Preet Lal has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Amit Kumar, Shubham Kumar, Purabi Saikia, Mohammed Latif Khan, Narendra N. Das, Ankit Shekhar, Dibyendu Adhikari, Mana Gharun, Aditya Kumar Dubey and Andreas Colliander. Their work appears in journals such as Geocarto International, Remote Sensing of Environment, Advances in Space Research, Natural Hazards and The Science of The Total 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.