Bradley M. Coffey
- Water Science and Technology top 2%
- Health, Toxicology and Mutagenesis top 2%
- Pollution top 5%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Peter M. HuckMonica B. EmelkoChristopher J. GabelichTae I. YunI. H. SuffetMichael J. SclimentiWei R. ChenDaniel L. Gallagher
- Topics
- Parasitic Infections and Diagnostics (8 papers)Water Treatment and Disinfection (6 papers)Wastewater Treatment and Nitrogen Removal (2 papers)
- Cited by
- Water Science and TechnologyHealth, Toxicology and MutagenesisIndustrial and Manufacturing Engineering
- Partner nations
- United StatesCanada
In The Last Decade
Bradley M. Coffey
17 papers receiving 656 citations
Peers
Comparison fields: 5 of 72
- Water Science and Technology 422
- Health, Toxicology and Mutagenesis 387
- Pollution 148
- Biomedical Engineering 145
- Industrial and Manufacturing Engineering 137
Countries citing papers authored by Bradley M. Coffey
This map shows the geographic impact of Bradley M. Coffey'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 Bradley M. Coffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley M. Coffey more than expected).
Fields of papers citing papers by Bradley M. Coffey
This network shows the impact of papers produced by Bradley M. Coffey. 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 Bradley M. Coffey. The network helps show where Bradley M. Coffey may publish in the future.
Co-authorship network of co-authors of Bradley M. Coffey
This figure shows the co-authorship network connecting the top 25 collaborators of Bradley M. Coffey. A scholar is included among the top collaborators of Bradley M. Coffey 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 Bradley M. Coffey. Bradley M. Coffey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 106 | |
| 2 | 59 | |
| 3 | 34 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 37 | |
| 8 | Effects of Filter Operation on Cryptosporidium Removal (PDF) | 28 |
| 9 | 36 | |
| 10 | 7 | |
| 11 | 39 | |
| 12 | 104 | |
| 13 | 42 | |
| 14 | 123 | |
| 15 | A comparison of biologically active filters for the removal of ozone by-products, turbidity, and particles | 11 |
| 16 | 72 | |
| 17 | 32 |
About Bradley M. Coffey
Bradley M. Coffey is a scholar working on Parasitology, Process Chemistry and Technology and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 769 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (8 papers), Water Treatment and Disinfection (6 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). The work is most often cited by research in Water Science and Technology (422 citations), Health, Toxicology and Mutagenesis (387 citations) and Industrial and Manufacturing Engineering (137 citations). Bradley M. Coffey has collaborated with scholars based in United States and Canada. Frequent co-authors include Peter M. Huck, Monica B. Emelko, Christopher J. Gabelich, Tae I. Yun, I. H. Suffet, Michael J. Sclimenti, Wei R. Chen, Daniel L. Gallagher, William R. Knocke and Robin M. Slawson. Their work appears in journals such as Water Research, Desalination and Journal of Toxicology and Environmental Health.
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.