Arun Kansal
- Water Science and Technology top 1%
- Industrial and Manufacturing Engineering top 1%
- Environmental Engineering top 2%
- Pollution top 2%
- Building and Construction top 2%
- Co-authors
- Deepshikha SharmaV.V.N. KishoreMalini BalakrishnanK. RajeshwariKusum LataCynthia Carliell-MarquetPrateek SharmaSujata Gupta
- Topics
- Water resources management and optimization (11 papers)Water-Energy-Food Nexus Studies (9 papers)Wastewater Treatment and Reuse (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringWater Science and TechnologyEnvironmental Engineering
- Partner nations
- IndiaUnited KingdomAustralia
In The Last Decade
Arun Kansal
43 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Water Science and Technology 818
- Industrial and Manufacturing Engineering 528
- Environmental Engineering 515
- Pollution 361
- Building and Construction 342
Countries citing papers authored by Arun Kansal
This map shows the geographic impact of Arun Kansal'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 Arun Kansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Kansal more than expected).
Fields of papers citing papers by Arun Kansal
This network shows the impact of papers produced by Arun Kansal. 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 Arun Kansal. The network helps show where Arun Kansal may publish in the future.
Co-authorship network of co-authors of Arun Kansal
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kansal. A scholar is included among the top collaborators of Arun Kansal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arun Kansal. Arun Kansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 34 | |
| 3 | 23 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 24 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 82 | |
| 12 | 39 | |
| 13 | 90 | |
| 14 | 42 | |
| 15 | 19 | |
| 16 | 62 | |
| 17 | 162 | |
| 18 | 104 | |
| 19 | 419 | |
| 20 | 199 |
About Arun Kansal
Arun Kansal is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology and Environmental Engineering, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Water resources management and optimization (11 papers), Water-Energy-Food Nexus Studies (9 papers) and Wastewater Treatment and Reuse (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (528 citations), Water Science and Technology (818 citations) and Environmental Engineering (515 citations). Arun Kansal has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include Deepshikha Sharma, V.V.N. Kishore, Malini Balakrishnan, K. Rajeshwari, Kusum Lata, Cynthia Carliell-Marquet, Prateek Sharma, Sujata Gupta, Krishna Mohan Surapaneni and Jin Murakami. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Water Research 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.