M.N. Pons
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal 6
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies 2
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- Water Quality Monitoring and Analysis 2
- Building and Construction top 10%
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- Biofuel production and bioconversion 2
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- Wireless Sensor Networks for Data Analysis 2
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- Artificial Intelligence in Healthcare 1
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- Microbial Metabolic Engineering and Bioproduction 1
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
M.N. Pons
15 papers receiving 593 citations
Peers
Comparison fields: 5 of 73
- Pollution 321
- Water Science and Technology 300
- Industrial and Manufacturing Engineering 132
- Geochemistry and Petrology 35
- Building and Construction 61
Countries citing papers authored by M.N. Pons
This map shows the geographic impact of M.N. Pons'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 M.N. Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.N. Pons more than expected).
Fields of papers citing papers by M.N. Pons
This network shows the impact of papers produced by M.N. Pons. 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 M.N. Pons. The network helps show where M.N. Pons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.N. Pons, 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 | 2025 | 0 | |
| 2 | 2020 | 48 | |
| 3 | 2011 | 9 | |
| 4 | Photocatalytic decolorization and mineralization of orange dyes on immobilized titanium dioxide nanoparticles | 2010 | 2 |
| 5 | 2010 | 167 | |
| 6 | Sensitivity analysis of the Benchmark Simulation Model no 1 | 2008 | 2 |
| 7 | 2007 | 19 | |
| 8 | BENHAMMOU, DISCOLOURATION OF RED CATIONIC DYE BY SUPPORTED TIO2 PHOTOCATLYSIS | 2007 | 1 |
| 9 | 2006 | 121 | |
| 10 | 2005 | 62 | |
| 11 | 2003 | 28 | |
| 12 | 2002 | 29 | |
| 13 | 2000 | 61 | |
| 14 | 1999 | 24 | |
| 15 | 1999 | 36 | |
| 16 | 1993 | 44 |
About M.N. Pons
M.N. Pons is a scholar working on Pollution, Industrial and Manufacturing Engineering, Water Science and Technology, Health Information Management and Analytical Chemistry, having authored 16 papers that have together received 653 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (6 papers), Biofuel production and bioconversion (2 papers), Water Quality Monitoring Technologies (2 papers), Wireless Sensor Networks for Data Analysis (2 papers), Water Quality Monitoring and Analysis (2 papers), Artificial Intelligence in Healthcare (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Pollution (321 citations), Water Science and Technology (300 citations), Industrial and Manufacturing Engineering (132 citations), Geochemistry and Petrology (35 citations) and Building and Construction (61 citations). M.N. Pons has collaborated with scholars based in France, Sweden and Brazil. Frequent co-authors include Ulf Jeppsson, John B. Copp, Christian Rosén, J. Alex, Krist V. Gernaey, Peter A. Vanrolleghem, Maurício da Motta, H. Vivier, Nicolas Roche and Ingmar Nopens. Their work appears in journals such as Water Science & Technology, Biotechnology and Bioengineering, Chemosphere, European Journal of Public Health and Biotechnology Letters.
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.