David Fortune
David Fortune publishes mostly in Water Science and Technology, Management Science and Operations Research and Environmental Engineering, on topics such as Hydrology and Watershed Management Studies, Water resources management and optimization and Urban Stormwater Management Solutions.
- World rank
- #5,578,679 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #322,920 of 367,258
- Works
- 17
- Citations
- 75
- Citations per work
- 4.4
What does David Fortune research?
David Fortune's work is mostly in Environmental Science (26%), Engineering (16%), Decision Sciences (10%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences850.0%
- Environmental Science426.3%
- Engineering315.8%
- Computer Science17.9%
- Everything else739.5%
- Social Sciences210.5%
- Decision Sciences210.5%
- 1Water Science and Technology16% of their works
- 2Management Science and Operations Research10% of their works
- 3Environmental Engineering10% of their works
- 4Ocean Engineering8% of their works
- 5Information Systems8% of their works
- 6Civil and Structural Engineering8% of their works
Research topics
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Urban Stormwater Management Solutions
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- demographic modeling and climate adaptation
- Semantic Web and Ontologies
- Mathematical Control Systems and Analysis
Which keywords describe David Fortune's research?
The keywords of their largest research topics: Climate Change, Water Resources, Hydrological Modeling, Global Hydrology, Model Evaluation, Artificial Neural Networks, Machine Learning and Reservoir Operation.
- Ontology
- Fuzzy Computing
- Sustainable Drainage Systems
- Small Area Estimation
- Hydrology
- Flood Risk
- Reservoir Operation
- Artificial Neural Networks
- Global Hydrology
- Water Resources
- Climate Change
- Hydrological Modeling
- Model Evaluation
- Machine Learning
- Water Demand
- Forecasting
- Remote Sensing
- Spatial Microsimulation
- Urban Stormwater Management
- Intelligent Systems
- Semantic Web
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Climate Change134 topics
- Water Resources113 topics
- Hydrological Modeling82 topics
- Global Hydrology61 topic
- Model Evaluation61 topic
- Artificial Neural Networks32 topics
- Machine Learning32 topics
- Reservoir Operation31 topic
- Water Demand31 topic
- Flood Risk21 topic
- Forecasting21 topic
- Hydrology21 topic
- Remote Sensing21 topic
- Small Area Estimation21 topic
- Spatial Microsimulation21 topic
- Sustainable Drainage Systems21 topic
- Urban Stormwater Management21 topic
- Fuzzy Computing11 topic
- Intelligent Systems11 topic
- Ontology11 topic
- Semantic Web11 topic
Where does David Fortune work?
David Fortune's main affiliation in the publication record is HR Wallingford, United Kingdom.
How many publications and citations does David Fortune have?
OpenAlex counts 17 works and 75 citations for David Fortune, an h-index of 4, ranking #5,578,679 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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