Badri N. Badriyha
- Water Science and Technology top 5%
- Pollution top 10%
- Biomedical Engineering
- Health, Toxicology and Mutagenesis top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Massoud PirbazariVaradarajan RavindranSung-Hyun KimRichard J. MiltnerWalter DenMichael J. McGuireCostas E. SynolakisJ. van Leeuwen
- Topics
- Wastewater Treatment and Nitrogen Removal (4 papers)Water Treatment and Disinfection (3 papers)Toxic Organic Pollutants Impact (3 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Badri N. Badriyha
13 papers receiving 460 citations
Peers
Comparison fields: 5 of 60
- Water Science and Technology 299
- Pollution 141
- Biomedical Engineering 132
- Health, Toxicology and Mutagenesis 109
- Industrial and Manufacturing Engineering 81
Countries citing papers authored by Badri N. Badriyha
This map shows the geographic impact of Badri N. Badriyha'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 Badri N. Badriyha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badri N. Badriyha more than expected).
Fields of papers citing papers by Badri N. Badriyha
This network shows the impact of papers produced by Badri N. Badriyha. 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 Badri N. Badriyha. The network helps show where Badri N. Badriyha may publish in the future.
Co-authorship network of co-authors of Badri N. Badriyha
This figure shows the co-authorship network connecting the top 25 collaborators of Badri N. Badriyha. A scholar is included among the top collaborators of Badri N. Badriyha 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 Badri N. Badriyha. Badri N. Badriyha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 15 | |
| 3 | 73 | |
| 4 | 4 | |
| 5 | 47 | |
| 6 | 10 | |
| 7 | Advanced Oxidation Processes for Removal of Natural Organics and Pesticides from Drinking Water | 1 |
| 8 | 108 | |
| 9 | 14 | |
| 10 | 62 | |
| 11 | 58 | |
| 12 | 19 | |
| 13 | 32 |
About Badri N. Badriyha
Badri N. Badriyha is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Water Science and Technology, having authored 13 papers that have together received 494 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (4 papers), Water Treatment and Disinfection (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Water Science and Technology (299 citations), Pollution (141 citations) and Industrial and Manufacturing Engineering (81 citations). Badri N. Badriyha has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Massoud Pirbazari, Varadarajan Ravindran, Sung-Hyun Kim, Richard J. Miltner, Walter Den, Michael J. McGuire, Costas E. Synolakis, J. van Leeuwen, Sunghyun Kim and Sung-Hyun Kim. Their work appears in journals such as Water Research, AIChE Journal and Applied Mathematics and Computation.
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.