Neil Bennett

1.9k citations
6 papers · 1.5k · 1 hit paper · h-index 4

Impact in

Papers in

Neil Bennett

6 papers receiving 1.4k citations

Neil Bennett's Hit Papers

Characterising performance of environmental models 2012 · 1.2k citations
1.2k0+4+9Years since publication4008001.2k

Peers

Neil Bennett
Comparison fields: 5 of 124
  • Water Science and Technology 487
  • Environmental Engineering 395
  • Global and Planetary Change 508
  • Environmental Chemistry 133
  • Soil Science 103
Replace Matthew Thomas Perks with:
Matthew Thomas Perks United Kingdom
Hervé Yesou France
Christopher S. Lowry United States
Serena Ceola Italy
Ángel Udías Spain
Geoff Parkin United Kingdom
Shuhua Qi China
Trevor Page United Kingdom
‪Gennadii Donchyts Netherlands
Kun Yang China
Neil Bennett relative to Matthew Thomas Perks United Kingdom Matthew Thomas Perks's profile →
Citations per field
00.5×1.5×2×2.4×
Matthew Thomas Perks · 1×
Citations per year

Countries citing papers authored by Neil Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Neil Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Neil Bennett, 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 Neil Bennett Line = papers co-authored together Neil Bennett links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Characterising performance of environmental models
Hit paper breakdown →
20121249
2 2018189
3 202316
4
Performance Evaluation of Environmental Models
20109
5 20213
6 20172

About Neil Bennett

Neil Bennett is a scholar working on Water Science and Technology, Ocean Engineering, Physiology, Management Science and Operations Research and Rheumatology, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Water resources management and optimization (2 papers), Asthma and respiratory diseases (2 papers), Hydrology and Watershed Management Studies (2 papers), Water-Energy-Food Nexus Studies (1 paper), Eosinophilic Esophagitis (1 paper), demographic modeling and climate adaptation (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Water Science and Technology (487 citations), Environmental Engineering (395 citations), Global and Planetary Change (508 citations), Environmental Chemistry (133 citations) and Soil Science (103 citations). Neil Bennett has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Barry Croke, Lachlan Newham, John P. Norton, Anthony J. Jakeman, Serena H. Hamilton, Suzanne A. Pierce, Stefano Marsili-Libelli, Ralf Seppelt, Alexey A. Voinov and Joseph H. A. Guillaume. Their work appears in journals such as JHEP Reports, Environmental Modelling & Software, Clinical & Experimental Allergy, The Lancet Respiratory Medicine and Genes and Environment.

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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