Ian Macadam

4.0k total citations · 1 hit paper
64 papers, 3.1k citations indexed

About

Ian Macadam is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Ian Macadam has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 28 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Atmospheric Science. Recurrent topics in Ian Macadam's work include Climate variability and models (33 papers), Climate change impacts on agriculture (23 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Ian Macadam is often cited by papers focused on Climate variability and models (33 papers), Climate change impacts on agriculture (23 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Ian Macadam collaborates with scholars based in Australia, United Kingdom and United States. Ian Macadam's co-authors include De Li Liu, Janice Bathols, J. K. Scott, Agathe Leriche, Darren J. Kriticos, Noboru Ota, Bruce L. Webber, Muhuddin Rajin Anwar, Qiang Yu and Bin Wang and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Global Change Biology.

In The Last Decade

Ian Macadam

61 papers receiving 3.0k citations

Hit Papers

CliMond: global high‐resolution historical and future sce... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Macadam Australia 28 1.5k 1.0k 707 696 527 64 3.1k
Andrew White United Kingdom 26 1.6k 1.1× 438 0.4× 482 0.7× 553 0.8× 907 1.7× 56 3.5k
Elisabeth Huber‐Sannwald Mexico 25 1.5k 1.0× 1.1k 1.0× 510 0.7× 358 0.5× 1.0k 2.0× 66 3.8k
Neil Plummer Australia 11 2.8k 1.9× 482 0.5× 367 0.5× 1.9k 2.7× 391 0.7× 16 4.0k
Linda Mearns United States 17 1.9k 1.3× 522 0.5× 365 0.5× 1.1k 1.6× 349 0.7× 32 2.8k
Çhandrashekhar Biradar United States 36 2.5k 1.7× 420 0.4× 764 1.1× 975 1.4× 2.9k 5.5× 97 4.7k
Carolyn M. Malmström United States 28 1.8k 1.2× 259 0.3× 1.3k 1.8× 535 0.8× 1.4k 2.6× 45 3.8k
Stephen Boles United States 19 1.9k 1.3× 267 0.3× 570 0.8× 1.1k 1.6× 2.5k 4.7× 23 3.9k
Trevor H. Booth Australia 29 998 0.7× 540 0.5× 616 0.9× 284 0.4× 865 1.6× 86 3.2k
David W. Hilbert Australia 27 987 0.7× 480 0.5× 758 1.1× 489 0.7× 1.0k 2.0× 41 2.9k
R.G.H. Bunce United Kingdom 35 1.8k 1.3× 837 0.8× 1.1k 1.5× 249 0.4× 1.8k 3.5× 134 4.8k

Countries citing papers authored by Ian Macadam

Since Specialization
Citations

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

Fields of papers citing papers by Ian Macadam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Macadam

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Macadam. A scholar is included among the top collaborators of Ian Macadam 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 Ian Macadam. Ian Macadam 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.
Li, Linchao, Bin Wang, Puyu Feng, et al.. (2023). The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment. 4(1). 13 indexed citations
2.
Wang, Bin, Puyu Feng, De Li Liu, et al.. (2020). Sources of uncertainty for wheat yield projections under future climate are site-specific. Nature Food. 1(11). 720–728. 80 indexed citations
3.
Jin, Li, P. G. Whitehead, Kwasi Appeaning Addo, et al.. (2018). Modeling future flows of the Volta River system: Impacts of climate change and socio-economic changes. The Science of The Total Environment. 637-638. 1069–1080. 38 indexed citations
4.
Whitehead, P. G., Li Jin, Ian Macadam, et al.. (2018). Modelling impacts of climate change and socio-economic change on the Ganga, Brahmaputra, Meghna, Hooghly and Mahanadi river systems in India and Bangladesh. The Science of The Total Environment. 636. 1362–1372. 59 indexed citations
5.
Kebede, Abiy S., Robert J. Nicholls, Andrew Allan, et al.. (2018). Applying the global RCP–SSP–SPA scenario framework at sub-national scale: A multi-scale and participatory scenario approach. The Science of The Total Environment. 635. 659–672. 113 indexed citations
6.
Janes, Tamara, et al.. (2018). High-resolution climate projections for South Asia to inform climate impacts and adaptation studies in the Ganges-Brahmaputra-Meghna and Mahanadi deltas. The Science of The Total Environment. 650(Pt 1). 1499–1520. 41 indexed citations
7.
Jin, Li, P. G. Whitehead, Harvey J. E. Rodda, Ian Macadam, & Sananda Sarkar. (2018). Simulating climate change and socio-economic change impacts on flows and water quality in the Mahanadi River system, India. The Science of The Total Environment. 637-638. 907–917. 57 indexed citations
8.
Daron, Joseph, Ian Macadam, Hideki Kanamaru, et al.. (2018). Providing future climate projections using multiple models and methods: insights from the Philippines. Climatic Change. 148(1-2). 187–203. 16 indexed citations
9.
10.
Hemer, Mark, et al.. (2012). Climate Futures for Tasmania: extreme tide and sea-level events technical report. eCite Digital Repository (University of Tasmania). 1 indexed citations
11.
Kriticos, Darren J., Bruce L. Webber, Agathe Leriche, et al.. (2011). CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution. 3(1). 53–64. 602 indexed citations breakdown →
12.
McInnes, Kathleen L., Ian Macadam, Graeme D. Hubbert, & Julian O’Grady. (2009). A modelling approach for estimating the frequency of sea level extremes and the impact of climate change in southeast Australia. Natural Hazards. 51(1). 115–137. 61 indexed citations
13.
Suppiah, Ramasamy, Kevin Hennessy, P. H. Whetton, et al.. (2007). Australian climate change projections derived from simulations performed for the IPCC 4th Assessment Report. 56(3). 131–152. 207 indexed citations
14.
Christy, John R., D. E. Parker, Simon J. Brown, et al.. (2001). Differential trends in tropical sea surface and atmospheric temperatures since 1979. Geophysical Research Letters. 28(1). 183–186. 33 indexed citations
15.
Macadam, Ian. (1970). Some observations on bovine cutaneous streptothricosis in Northern Nigeria. Tropical Animal Health and Production. 2(3). 131–138. 14 indexed citations
16.
Macadam, Ian. (1964). The effects of ectoparasites and humidity on natural lesions of streptothricosis.. Veterinary Record. 76(12). 4 indexed citations
17.
Macadam, Ian. (1964). Observations on the effects of flies and humidity on the natural lesions of srreptothricosis.. Veterinary Record. 76(7). 194–198. 13 indexed citations
18.
Macadam, Ian. (1964). Srreptothricosis in Nigerian Horses.. Veterinary Record. 76(15). 420–422. 8 indexed citations
19.
Johnson, Rebecca H., Victoria Smith, & Ian Macadam. (1962). A note on Johne's disease in Nigeria.. 10. 507–510. 1 indexed citations
20.
Macadam, Ian. (1962). Tick transmission of bovine pasteurellosis.. Veterinary Record. 74(24).

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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