Amarpreet Singh Arora
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal 7
- Water Science and Technology top 10%
- Water Quality Monitoring Technologies 4
- Membrane Separation Technologies 3
- Environmental Engineering top 10%
- Urban Stormwater Management Solutions 4
- Urban Heat Island Mitigation 3
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 2
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- Flood Risk Assessment and Management 4
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- COVID-19 Pandemic Impacts 3
- Co-authors
- A. S. ReddyChoa Mun YunAlam NawazMoonyong LeeHimadri RajputRahil ChangotraSneha GautamPrachi Rajput
- Journals
- SHILAP Revista de lepidopterología (1 paper)Renewable and Sustainable Energy Reviews (1 paper)Journal of Cleaner Production (1 paper)
- Partner nations
- South KoreaIndiaOman
In The Last Decade
Amarpreet Singh Arora
21 papers receiving 450 citations
Peers
Comparison fields: 5 of 89
- Pollution 157
- Water Science and Technology 114
- Industrial and Manufacturing Engineering 65
- Environmental Engineering 99
- Modeling and Simulation 24
Countries citing papers authored by Amarpreet Singh Arora
This map shows the geographic impact of Amarpreet Singh Arora'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 Amarpreet Singh Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amarpreet Singh Arora more than expected).
Fields of papers citing papers by Amarpreet Singh Arora
This network shows the impact of papers produced by Amarpreet Singh Arora. 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 Amarpreet Singh Arora. The network helps show where Amarpreet Singh Arora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amarpreet Singh Arora, 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 | 2023 | 6 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 83 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 18 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2017 | 3 | |
| 16 | 2014 | 15 | |
| 17 | 2013 | 22 | |
| 18 | 2012 | 38 | |
| 19 | Multi-parameter water quality sensors for water supply systems. | 2010 | 2 |
| 20 | 2009 | 24 |
About Amarpreet Singh Arora
Amarpreet Singh Arora is a scholar working on Pollution, Water Science and Technology and Environmental Engineering, having authored 22 papers that have together received 455 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (7 papers), Urban Stormwater Management Solutions (4 papers), Water Quality Monitoring Technologies (4 papers), Flood Risk Assessment and Management (4 papers), COVID-19 Pandemic Impacts (3 papers), Membrane Separation Technologies (3 papers), Urban Heat Island Mitigation (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Pollution (157 citations), Water Science and Technology (114 citations) and Industrial and Manufacturing Engineering (65 citations). Amarpreet Singh Arora has collaborated with scholars based in South Korea, India and Oman. Frequent co-authors include A. S. Reddy, Choa Mun Yun, Alam Nawaz, Moonyong Lee, Himadri Rajput, Rahil Changotra, Sneha Gautam, Prachi Rajput, Muhammad Aslam and Muhammad Abdul Qyyum. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.
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.