Spencer Snowling
- Water Science and Technology top 5%
- Environmental Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Pollution top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Zhong LiJames R. KramerPengxiao ZhouQianqian ZhangBrian W. BaetzPrashant MhaskarDebanjan GhoshRajeev K. Goel
- Topics
- Wastewater Treatment and Nitrogen Removal (10 papers)Hydrological Forecasting Using AI (5 papers)Water Systems and Optimization (3 papers)
- Cited by
- Water Science and TechnologyIndustrial and Manufacturing EngineeringEnvironmental Engineering
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Spencer Snowling
26 papers receiving 507 citations
Peers
Comparison fields: 5 of 75
- Water Science and Technology 231
- Environmental Engineering 156
- Industrial and Manufacturing Engineering 102
- Pollution 96
- Control and Systems Engineering 65
Countries citing papers authored by Spencer Snowling
This map shows the geographic impact of Spencer Snowling'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 Spencer Snowling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spencer Snowling more than expected).
Fields of papers citing papers by Spencer Snowling
This network shows the impact of papers produced by Spencer Snowling. 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 Spencer Snowling. The network helps show where Spencer Snowling may publish in the future.
Co-authorship network of co-authors of Spencer Snowling
This figure shows the co-authorship network connecting the top 25 collaborators of Spencer Snowling. A scholar is included among the top collaborators of Spencer Snowling 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 Spencer Snowling. Spencer Snowling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | 32 | |
| 4 | 5 | |
| 5 | 61 | |
| 6 | 49 | |
| 7 | 94 | |
| 8 | 10 | |
| 9 | 65 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 1 |
About Spencer Snowling
Spencer Snowling is a scholar working on Pollution, Water Science and Technology and Environmental Engineering, having authored 30 papers that have together received 525 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (10 papers), Hydrological Forecasting Using AI (5 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Water Science and Technology (231 citations), Industrial and Manufacturing Engineering (102 citations) and Environmental Engineering (156 citations). Spencer Snowling has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Zhong Li, James R. Kramer, Pengxiao Zhou, Qianqian Zhang, Brian W. Baetz, Prashant Mhaskar, Debanjan Ghosh, Rajeev K. Goel, Ahmad Siam and Wael El‐Dakhakhni. Their work appears in journals such as Industrial & Engineering Chemistry Research, Sustainability and Ecological Modelling.
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.