Mathieu Lepot
Impact in
- Environmental Engineering top 10%
- Urban Stormwater Management Solutions
- Hydrological Forecasting Using AI
- Civil and Structural Engineering top 10%
- Water Systems and Optimization
- Infrastructure Maintenance and Monitoring
Papers in
-
- Water Systems and Optimization 5
- Infrastructure Maintenance and Monitoring 3
- Hydraulic flow and structures 2
- Structural Health Monitoring Techniques 2
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- Urban Stormwater Management Solutions 2
- Co-authors
- F.H.L.R. Clemens (5 shared papers)Jean-Baptiste Aubin (1 shared paper)Jeroen Langeveld (2 shared papers)Jean-Luc Bertrand-Krajewski (2 shared papers)Gislain Lipeme Kouyi (1 shared paper)
- Journals
- Automation in Construction (2 papers)Structure and Infrastructure Engineering (1 paper)Urban Water Journal (1 paper)Flow Measurement and Instrumentation (1 paper)Water Research (1 paper)
- Partner nations
- NetherlandsFranceSpain
In The Last Decade
Mathieu Lepot
7 papers receiving 308 citations
Peers
Comparison fields: 5 of 96
- Environmental Engineering 100
- Civil and Structural Engineering 87
- Water Science and Technology 52
- Geology 13
- Signal Processing 24
Countries citing papers authored by Mathieu Lepot
This map shows the geographic impact of Mathieu Lepot'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 Mathieu Lepot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Lepot more than expected).
Fields of papers citing papers by Mathieu Lepot
This network shows the impact of papers produced by Mathieu Lepot. 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 Mathieu Lepot. The network helps show where Mathieu Lepot may publish in the future.
Co-authors
The 5 scholars most cited alongside Mathieu Lepot, 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 | 2017 | 198 | |
| 2 | 2017 | 30 | |
| 3 | 2016 | 25 | |
| 4 | 2014 | 19 | |
| 5 | 2016 | 19 | |
| 6 | 2016 | 15 | |
| 7 | 2014 | 11 |
About Mathieu Lepot
Mathieu Lepot is a scholar working on Civil and Structural Engineering, Environmental Engineering, Computer Vision and Pattern Recognition, Ocean Engineering and Signal Processing, having authored 7 papers that have together received 317 indexed citations. Recurring topics across this work include Water Systems and Optimization (5 papers), Infrastructure Maintenance and Monitoring (3 papers), Urban Stormwater Management Solutions (2 papers), Hydraulic flow and structures (2 papers), Structural Health Monitoring Techniques (2 papers), Coastal and Marine Dynamics (1 paper), Irrigation Practices and Water Management (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Environmental Engineering (100 citations), Civil and Structural Engineering (87 citations), Water Science and Technology (52 citations), Geology (13 citations) and Signal Processing (24 citations). Mathieu Lepot has collaborated with scholars based in Netherlands, France and Spain. Frequent co-authors include F.H.L.R. Clemens, Jean-Baptiste Aubin, Jeroen Langeveld, Jean-Luc Bertrand-Krajewski and Gislain Lipeme Kouyi. Their work appears in journals such as Automation in Construction, Structure and Infrastructure Engineering, Urban Water Journal, Flow Measurement and Instrumentation and Water Research.
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.