Maite Pijuan
- Pollution top 0.1%
- Wastewater Treatment and Nitrogen Removal 69
- Pharmaceutical and Antibiotic Environmental Impacts 8
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- Constructed Wetlands for Wastewater Treatment 17
- Water Science and Technology top 0.5%
- Membrane Separation Technologies 21
- Environmental Engineering top 0.5%
- Microbial Fuel Cells and Bioremediation 22
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- Odor and Emission Control Technologies 7
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- Anaerobic Digestion and Biogas Production 14
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- Water Treatment and Disinfection 13
Maite Pijuan
88 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 108
- Pollution 3.7k
- Industrial and Manufacturing Engineering 1.5k
- Water Science and Technology 1.3k
- Environmental Engineering 1.3k
- Process Chemistry and Technology 232
Countries citing papers authored by Maite Pijuan
This map shows the geographic impact of Maite Pijuan'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 Maite Pijuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite Pijuan more than expected).
Fields of papers citing papers by Maite Pijuan
This network shows the impact of papers produced by Maite Pijuan. 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 Maite Pijuan. The network helps show where Maite Pijuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maite Pijuan, 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 | 1 | |
| 2 | 2022 | 48 | |
| 3 | 2021 | 24 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 14 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 60 | |
| 9 | 2016 | 231 | |
| 10 | Measuring nitrous oxide emissions from biological wastewater treatment, art or science? | 2014 | 1 |
| 11 | 2014 | 1 | |
| 12 | 2014 | 76 | |
| 13 | 2013 | 87 | |
| 14 | 2013 | 49 | |
| 15 | 2013 | 30 | |
| 16 | 2012 | 22 | |
| 17 | 2011 | 130 | |
| 18 | 2009 | 168 | |
| 19 | 2008 | 57 | |
| 20 | Estudio de secado de champinón en conserva (Agaricus bisporus) utilizando i un secador vertical | 1997 | 4 |
About Maite Pijuan
Maite Pijuan is a scholar working on Pollution, Industrial and Manufacturing Engineering and Process Chemistry and Technology, having authored 89 papers that have together received 4.6k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (69 papers), Microbial Fuel Cells and Bioremediation (22 papers), Membrane Separation Technologies (21 papers), Constructed Wetlands for Wastewater Treatment (17 papers), Anaerobic Digestion and Biogas Production (14 papers), Water Treatment and Disinfection (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and Odor and Emission Control Technologies (7 papers). The work is most often cited by research in Pollution (3.7k citations), Industrial and Manufacturing Engineering (1.5k citations) and Water Science and Technology (1.3k citations). Maite Pijuan has collaborated with scholars based in Spain, Australia and Portugal. Frequent co-authors include Zhiguo Yuan, Yan Zhou, Liu Ye, A. Rodríguez-Caballero, Thomas Seviour, Juan Antonio Baeza, Raymond Jianxiong Zeng, C. Casas, Anna Ribera-Guardia and Elissavet Kassotaki. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Applied and Environmental Microbiology.
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.