Neil MacKellar

524 citations
7 papers · 421 · h-index 7

Impact in

Papers in

    • Climate variability and models 5
    • Plant Water Relations and Carbon Dynamics 3
    • Hydrology and Drought Analysis 2
    • Flood Risk Assessment and Management 1
    • Meteorological Phenomena and Simulations 3

Neil MacKellar

7 papers receiving 405 citations

Peers

Neil MacKellar
Comparison fields: 5 of 59
  • Global and Planetary Change 278
  • Atmospheric Science 156
  • Ecological Modeling 27
  • Nature and Landscape Conservation 48
  • Ecology, Evolution, Behavior and Systematics 66
Replace Zhengfang Wu with:
Zhengfang Wu China
Andrew R. Lare United States
Deyong Yu China
Sandipan Mukherjee India
Michael F. Squires United States
Andreas Krause Germany
Colin Tucker United States
D. S. Montoya United States
Kim André Vanselow Germany
Zhaoqin Li Canada
Neil MacKellar relative to Zhengfang Wu China Zhengfang Wu's profile →
Citations per field
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Zhengfang Wu · 1×
Citations per year

Countries citing papers authored by Neil MacKellar

Since Specialization
Citations

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

Fields of papers citing papers by Neil MacKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Neil MacKellar, 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 MacKellar Line = papers co-authored together Neil MacKellar links everyone, so they are left out of the graph.

All Works

About Neil MacKellar

Neil MacKellar is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Evolution, Behavior and Systematics, Water Science and Technology and Plant Science, having authored 7 papers that have together received 421 indexed citations. Recurring topics across this work include Climate variability and models (5 papers), Plant Water Relations and Carbon Dynamics (3 papers), Meteorological Phenomena and Simulations (3 papers), Hydrology and Drought Analysis (2 papers), Climate change impacts on agriculture (2 papers), Hydrology and Watershed Management Studies (1 paper), Plant Pathogens and Resistance (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Global and Planetary Change (278 citations), Atmospheric Science (156 citations), Ecological Modeling (27 citations), Nature and Landscape Conservation (48 citations) and Ecology, Evolution, Behavior and Systematics (66 citations). Neil MacKellar has collaborated with scholars based in South Africa, Denmark and United Kingdom. Frequent co-authors include Mark New, Christopher Jack, Bruce Hewitson, Mark Tadross, R. J. Barthelmie, Erik Kjellström, S. C. Pryor, Niels‐Erik Clausen, Martin Drews and Marianne Sloth Madsen. Their work appears in journals such as International Journal of Climatology, Journal of Arid Environments, Climate Dynamics, Food Additives & Contaminants Part A and South African Journal of Science.

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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