Stefan Laeger

407 citations
11 papers · 276 · h-index 5

Impact in

Papers in

    • Flood Risk Assessment and Management 10
    • Hydrology and Drought Analysis 8
    • Climate variability and models 1
    • Tropical and Extratropical Cyclones Research 3
    • Meteorological Phenomena and Simulations 2

Stefan Laeger

10 papers receiving 268 citations

Peers

Stefan Laeger
Comparison fields: 5 of 33
  • Global and Planetary Change 220
  • Earth-Surface Processes 52
  • Atmospheric Science 132
  • Water Science and Technology 94
  • Oceanography 53
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Robert Jane United States
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Laeger

Since Specialization
Citations

This map shows the geographic impact of Stefan Laeger'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 Stefan Laeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Laeger more than expected).

Fields of papers citing papers by Stefan Laeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Laeger. 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 Stefan Laeger. The network helps show where Stefan Laeger may publish in the future.

Co-authors

The 25 scholars most cited alongside Stefan Laeger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefan Laeger Line = papers co-authored together Stefan Laeger links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201096
2 201390
3 201263
4
Real-time hazard impact modelling of surface water flooding: some UK developments
20136
5 20164
6 20104
7 20104
8 20143
9
Improving the FEH statistical method
20083
10 20162
11
Real-time modelling of surface water flooding hazard and impact at countrywide scales
20141

About Stefan Laeger

Stefan Laeger is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Oceanography and Environmental Engineering, having authored 11 papers that have together received 276 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (10 papers), Hydrology and Drought Analysis (8 papers), Hydrology and Watershed Management Studies (5 papers), Tropical and Extratropical Cyclones Research (3 papers), Meteorological Phenomena and Simulations (2 papers), Hydrological Forecasting Using AI (1 paper), Climate variability and models (1 paper) and Insurance and Financial Risk Management (1 paper). The work is most often cited by research in Global and Planetary Change (220 citations), Earth-Surface Processes (52 citations), Atmospheric Science (132 citations), Water Science and Technology (94 citations) and Oceanography (53 citations). Stefan Laeger has collaborated with scholars based in United Kingdom. Frequent co-authors include Jonathan A. Tawn, Crispian Batstone, Caroline Keef, Rob Lamb, Ian Meadowcroft, Ken Mylne, Florian Pappenberger, Steve Taylor, Murray Dale and Jon Wicks. Their work appears in journals such as Natural Hazards, Ocean Engineering, Journal of Flood Risk Management, Proceedings of the Institution of Civil Engineers - Water Management and NERC Open Research Archive (Natural Environment Research Council).

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.

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