David MacLeod

4.7k total citations
92 papers, 2.5k citations indexed

About

David MacLeod is a scholar working on Global and Planetary Change, Atmospheric Science and Soil Science. According to data from OpenAlex, David MacLeod has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 31 papers in Atmospheric Science and 18 papers in Soil Science. Recurrent topics in David MacLeod's work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (28 papers) and Soil and Unsaturated Flow (11 papers). David MacLeod is often cited by papers focused on Climate variability and models (32 papers), Meteorological Phenomena and Simulations (28 papers) and Soil and Unsaturated Flow (11 papers). David MacLeod collaborates with scholars based in United Kingdom, Australia and United States. David MacLeod's co-authors include Asa Abeliovich, Keiichi Inoue, Rachel Hammond, Thomas Leete, Antje Weisheimer, T. N. Palmer, Lawrence S. Honig, Tomoki Kuwahara, Karen Marder and Hervé Rhinn and has published in prestigious journals such as Neuron, Journal of Climate and Geophysical Research Letters.

In The Last Decade

David MacLeod

89 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David MacLeod United Kingdom 24 848 694 562 421 312 92 2.5k
Thomas J. Lyons Australia 26 300 0.4× 206 0.3× 179 0.3× 735 1.7× 131 0.4× 54 2.3k
Ulrich Weller Germany 39 305 0.4× 778 1.1× 87 0.2× 1.5k 3.6× 1.0k 3.3× 74 4.8k
Yanhong Wu China 28 151 0.2× 86 0.1× 293 0.5× 1.0k 2.5× 153 0.5× 98 2.4k
Kwang Soo Kim South Korea 27 223 0.3× 413 0.6× 48 0.1× 1.9k 4.6× 314 1.0× 113 3.9k
David Brandes United States 34 386 0.5× 80 0.1× 100 0.2× 866 2.1× 276 0.9× 128 3.6k
Katherine J. Elliott United States 37 2.2k 2.6× 23 0.0× 438 0.8× 747 1.8× 263 0.8× 111 5.3k
Weiwei Dai China 25 247 0.3× 75 0.1× 171 0.3× 325 0.8× 33 0.1× 107 2.2k
Youjun Chen China 21 173 0.2× 74 0.1× 62 0.1× 568 1.3× 59 0.2× 100 1.7k
Robert L. Morris United States 21 262 0.3× 66 0.1× 27 0.0× 1.0k 2.4× 585 1.9× 55 2.1k
Zhaohui Chen China 27 1.1k 1.3× 92 0.1× 811 1.4× 148 0.4× 42 0.1× 165 2.8k

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-authorship network of co-authors of David MacLeod

This figure shows the co-authorship network connecting the top 25 collaborators of David MacLeod. A scholar is included among the top collaborators of David MacLeod based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David MacLeod. David MacLeod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
O’Reilly, Christopher, David MacLeod, Daniel J. Befort, Theodore G. Shepherd, & Antje Weisheimer. (2025). Evaluating seasonal forecast improvements over the past two decades. Quarterly Journal of the Royal Meteorological Society. 152(774).
2.
Moel, Hans de, Tim Busker, Toon Haer, et al.. (2025). Drought impacts and community adaptation: Perspectives on the 2020–2023 drought in East Africa. International Journal of Disaster Risk Reduction. 119. 105309–105309. 1 indexed citations
3.
MacLeod, David, Erik W. Kolstad, Katerina Michaelides, & Michael Bliss Singer. (2024). Sensitivity of Rainfall Extremes to Unprecedented Indian Ocean Dipole Events. Geophysical Research Letters. 51(5). 9 indexed citations
4.
Koppa, Akash, Jessica Keune, David MacLeod, et al.. (2023). A Lagrangian Analysis of the Sources of Rainfall Over the Horn of Africa Drylands. Journal of Geophysical Research Atmospheres. 128(12). 4 indexed citations
5.
Singer, Michael Bliss, Katerina Michaelides, Rafael Rosolem, et al.. (2023). Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region. Hydrological Processes. 37(12). 4 indexed citations
6.
Asfaw, Dagmawi, Michael Bliss Singer, Rafael Rosolem, et al.. (2023). stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts. Geoscientific model development. 16(2). 557–571. 4 indexed citations
7.
MacLeod, David, Katerina Michaelides, Dagmawi Asfaw, et al.. (2023). Translating seasonal climate forecasts into water balance forecasts for decision making. PLOS Climate. 2(3). e0000138–e0000138. 5 indexed citations
8.
Steinke, Jonathan, et al.. (2023). Seasonal seed scenario planning: co-design of a generic framework for matching seed supply and demand using seasonal climate forecasts. Climate Services. 32. 100410–100410. 2 indexed citations
9.
Mwangi, Emmah, George Otieno, Mary Kilavi, et al.. (2023). Advancing operational flood forecasting, early warning and risk management with new emerging science: Gaps, opportunities and barriers in Kenya. Journal of Flood Risk Management. 18(1). 10 indexed citations
10.
Mitchell, Dann, E. J. Stone, Oliver Andrews, et al.. (2022). The Bristol CMIP6 Data Hackathon. Weather. 77(6). 218–221. 4 indexed citations
11.
12.
Singer, Michael Bliss, Dagmawi Asfaw, Rafael Rosolem, et al.. (2021). Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present. Scientific Data. 8(1). 224–224. 127 indexed citations
13.
Kolusu, Seshagiri Rao, Mohammad Shamsudduha, Martin C. Todd, et al.. (2019). The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa. Hydrology and earth system sciences. 23(3). 1751–1762. 67 indexed citations
14.
MacLeod, David, Hannah Cloke, Florian Pappenberger, & Antje Weisheimer. (2016). Evaluating uncertainty in estimates of soil moisture memory with a reverse ensemble approach. Hydrology and earth system sciences. 20(7). 2737–2743. 7 indexed citations
15.
Pareja, Fresia, David MacLeod, Chang Shu, et al.. (2014). PI3K and Bcl-2 Inhibition Primes Glioblastoma Cells to Apoptosis through Downregulation of Mcl-1 and Phospho-BAD. Molecular Cancer Research. 12(7). 987–1001. 72 indexed citations
16.
Lauderdale, Jonathan Maitland, Cyril Caminade, A. E. Heath, et al.. (2014). Towards seasonal forecasting of malaria in India. Malaria Journal. 13(1). 310–310. 34 indexed citations
17.
MacLeod, David, Hervé Rhinn, Tomoki Kuwahara, et al.. (2013). RAB7L1 Interacts with LRRK2 to Modify Intraneuronal Protein Sorting and Parkinson’s Disease Risk. Neuron. 77(5). 994–994. 2 indexed citations
18.
MacLeod, David, Hervé Rhinn, Tomoki Kuwahara, et al.. (2013). RAB7L1 Interacts with LRRK2 to Modify Intraneuronal Protein Sorting and Parkinson’s Disease Risk. Neuron. 79(1). 202–203. 20 indexed citations
19.
MacLeod, David, Hervé Rhinn, Tomoki Kuwahara, et al.. (2013). RAB7L1 Interacts with LRRK2 to Modify Intraneuronal Protein Sorting and Parkinson’s Disease Risk. Neuron. 77(3). 425–439. 414 indexed citations
20.
McKenzie, D. C., et al.. (2001). Cotton root growth in a compacted Vertisol (Grey Vertosol). II. Correlation with image analysis parameters. Australian Journal of Soil Research. 39(5). 1169–1181. 8 indexed citations

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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