Ben van den Akker
- Pollution top 1%
- Wastewater Treatment and Nitrogen Removal 25
- Pharmaceutical and Antibiotic Environmental Impacts 12
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- Constructed Wetlands for Wastewater Treatment 13
- Wastewater Treatment and Reuse 5
- Water Science and Technology top 2%
- Fecal contamination and water quality 8
- Membrane Separation Technologies 8
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- Water Treatment and Disinfection 20
- Process Chemistry and Technology top 10%
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- Microbial Community Ecology and Physiology 5
Ben van den Akker
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 135
- Pollution 868
- Industrial and Manufacturing Engineering 451
- Water Science and Technology 517
- Health, Toxicology and Mutagenesis 430
- Process Chemistry and Technology 54
Countries citing papers authored by Ben van den Akker
This map shows the geographic impact of Ben van den Akker'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 Ben van den Akker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben van den Akker more than expected).
Fields of papers citing papers by Ben van den Akker
This network shows the impact of papers produced by Ben van den Akker. 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 Ben van den Akker. The network helps show where Ben van den Akker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben van den Akker, 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 | 2024 | 6 | |
| 2 | 2022 | 21 | |
| 3 | 2020 | 86 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 38 | |
| 11 | 2016 | 72 | |
| 12 | 2016 | 109 | |
| 13 | 2016 | 20 | |
| 14 | Quantifying water quality characteristics of stormwater: Assessment of untreated stormwater for the Adelaide Airport and Barker Inlet stormwater-aquifer storage and recovery recycled water schemes | 2015 | 1 |
| 15 | 2015 | 30 | |
| 16 | An integrated approach for performance benchmarking of water recycling operations | 2014 | 1 |
| 17 | 2014 | 35 | |
| 18 | Zoogloeal viscous bulking in a Pinus radiata TMP/ONROMG recycled fibre newsprint activated sludge plant | 2014 | 1 |
| 19 | 2013 | 27 | |
| 20 | 2009 | 20 |
About Ben van den Akker
Ben van den Akker is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (25 papers), Water Treatment and Disinfection (20 papers), Constructed Wetlands for Wastewater Treatment (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Fecal contamination and water quality (8 papers), Membrane Separation Technologies (8 papers), Microbial Community Ecology and Physiology (5 papers) and Wastewater Treatment and Reuse (5 papers). The work is most often cited by research in Pollution (868 citations), Industrial and Manufacturing Engineering (451 citations) and Water Science and Technology (517 citations). Ben van den Akker has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Michael D. Short, Richard M. Stuetz, Steven Giglio, Zhiguo Yuan, Paul Monis, Liu Ye, Stuart J. Khan, Bing‐Jie Ni, Pierre Le‐Clech and Heather M. Coleman. Their work appears in journals such as Environmental Science & Technology, PLoS ONE 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.