David MacLeod

4.8k citations
92 papers · 2.6k · h-index 24

Impact in

  • Neurology top 1%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Climate variability and models
    • Hydrology and Drought Analysis

Papers in

    • Climate variability and models 32
    • Hydrology and Drought Analysis 9
    • Flood Risk Assessment and Management 6
    • Meteorological Phenomena and Simulations 27
    • Tropical and Extratropical Cyclones Research 9

David MacLeod

87 papers receiving 2.5k citations

Peers

David MacLeod
Comparison fields: 5 of 145
  • Neurology 679
  • Global and Planetary Change 864
  • Atmospheric Science 566
  • Soil Science 267
  • Neurology 170
Replace Lijun Zuo with:
Lijun Zuo China
Ulrich Weller Germany
Thomas J. Lyons Australia
Andrew S. Allen United States
Katherine J. Elliott United States
Yunhai Zhang China
Youjun Chen China
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Weiwei Dai China
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Citations per field
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Citations per year

Countries citing papers authored by David MacLeod

Since Specialization
Citations

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

Fields of papers citing papers by David MacLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006457
2 2013417
3 2021137
4 2016104
5 201876
6 199774
7 201973
8 201472
9 201849
10 202048
11 201446
12 199845
13 201543
14 201843
15 201435
16 202134
17 201831
18 202029
19 201528
20 198827

About David MacLeod

David MacLeod is a scholar working on Global and Planetary Change, Atmospheric Science, Soil Science, Civil and Structural Engineering and Oceanography, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (27 papers), Soil and Unsaturated Flow (11 papers), Soil Carbon and Nitrogen Dynamics (11 papers), Tropical and Extratropical Cyclones Research (9 papers), Hydrology and Drought Analysis (9 papers), Soil Management and Crop Yield (7 papers) and Flood Risk Assessment and Management (6 papers). The work is most often cited by research in Neurology (679 citations), Global and Planetary Change (864 citations), Atmospheric Science (566 citations), Soil Science (267 citations) and Neurology (170 citations). David MacLeod has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Asa Abeliovich, Keiichi Inoue, Rachel Hammond, Thomas Leete, Antje Weisheimer, T. N. Palmer, Aryeh Zolin, Tomoki Kuwahara, Brian D. McCabe and Gilbert Di Paolo. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Soil and Tillage Research, Neuron, Climate Dynamics and Geophysical Research Letters.

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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