Simon Moulds

919 citations
31 papers · 505 · 1 hit paper · h-index 13

Impact in

Papers in

Simon Moulds

28 papers receiving 491 citations

Hit Papers

Hybrid forecasting: blending climate predictions with AI models 2023 · 93 citations
930+1+2Years since publication255075

Peers

Simon Moulds
Comparison fields: 5 of 77
  • Global and Planetary Change 271
  • Water Science and Technology 160
  • Environmental Engineering 122
  • Atmospheric Science 120
  • Ocean Engineering 51
Replace Chunhong Zhao with:
Chunhong Zhao China
Yanyun Nian China
Shuangyun Peng China
Márcio Cataldi Brazil
Ditiro B. Moalafhi Botswana
Rizwan Nawaz United Kingdom
Kathrin Poser Germany
Win Win Zin Myanmar
Simon Moulds relative to Chunhong Zhao China Chunhong Zhao's profile →
Citations per field
00.5×4.9×
Chunhong Zhao · 1×
Citations per year

Countries citing papers authored by Simon Moulds

Since Specialization
Citations

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

Fields of papers citing papers by Simon Moulds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Moulds, 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 Simon Moulds Line = papers co-authored together Simon Moulds links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hybrid forecasting: blending climate predictions with AI models
Hit paper breakdown →
202393
2 201775
3 201553
4 201833
5 202131
6 201826
7 201424
8 202317
9 202215
10 202314
11 202214
12 201914
13 202413
14 202211
15 202311
16 201711
17 202210
18 202410
19 201910
20 20256

About Simon Moulds

Simon Moulds is a scholar working on Global and Planetary Change, Water Science and Technology, Atmospheric Science, Urban Studies and Ecology, having authored 31 papers that have together received 505 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (9 papers), Land Use and Ecosystem Services (8 papers), Climate variability and models (6 papers), Urban and Rural Development Challenges (4 papers), Hydrology and Drought Analysis (4 papers), Water resources management and optimization (4 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Global and Planetary Change (271 citations), Water Science and Technology (160 citations), Environmental Engineering (122 citations), Atmospheric Science (120 citations) and Ocean Engineering (51 citations). Simon Moulds has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Wouter Buytaert, Ana Mijić, Louise Slater, Michael R. Templeton, Marcos Villacís, L. Acosta, Bert De Bièvre, Carolina Tovar, Koen Verbist and Jimmy O’Keeffe. Their work appears in journals such as Water Resources Research, Geophysical Research Letters, Hydrological Sciences Journal, Hydrology and earth system sciences and Climate Dynamics.

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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