Martino E. Malerba

1.0k total citations
44 papers, 604 citations indexed

About

Martino E. Malerba is a scholar working on Ecology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Martino E. Malerba has authored 44 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 16 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in Martino E. Malerba's work include Marine and coastal ecosystems (10 papers), Hydrology and Watershed Management Studies (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (8 papers). Martino E. Malerba is often cited by papers focused on Marine and coastal ecosystems (10 papers), Hydrology and Watershed Management Studies (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (8 papers). Martino E. Malerba collaborates with scholars based in Australia, United States and Singapore. Martino E. Malerba's co-authors include Dustin J. Marshall, Peter I. Macreadie, Nicholas F. Wright, Maria M. Palacios, Kirsten Heimann, Sean R. Connolly, Craig R. White, John Beardall, Giulia Ghedini and Pierre Taillardat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Ecology.

In The Last Decade

Martino E. Malerba

38 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martino E. Malerba Australia 16 290 178 167 89 71 44 604
Tineke A. Troost Netherlands 17 256 0.9× 205 1.2× 280 1.7× 126 1.4× 54 0.8× 33 740
Robert Wilkes Ireland 16 186 0.6× 203 1.1× 426 2.6× 44 0.5× 67 0.9× 31 641
Sophie Pitois United Kingdom 12 239 0.8× 289 1.6× 285 1.7× 140 1.6× 45 0.6× 22 620
Kwee Siong Tew Taiwan 16 272 0.9× 146 0.8× 246 1.5× 70 0.8× 74 1.0× 50 620
Márcia Divina de Oliveira Brazil 12 339 1.2× 107 0.6× 69 0.4× 140 1.6× 95 1.3× 25 569
Claire Carré France 18 266 0.9× 180 1.0× 245 1.5× 156 1.8× 21 0.3× 44 692
Joakim P. Hansen Sweden 12 322 1.1× 229 1.3× 263 1.6× 74 0.8× 21 0.3× 30 646
Étienne Low‐Décarie United Kingdom 11 200 0.7× 92 0.5× 277 1.7× 124 1.4× 10 0.1× 22 570
Mandy Velthuis Netherlands 13 310 1.1× 204 1.1× 324 1.9× 308 3.5× 52 0.7× 21 698

Countries citing papers authored by Martino E. Malerba

Since Specialization
Citations

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

Fields of papers citing papers by Martino E. Malerba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martino E. Malerba. 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 Martino E. Malerba. The network helps show where Martino E. Malerba may publish in the future.

Co-authorship network of co-authors of Martino E. Malerba

This figure shows the co-authorship network connecting the top 25 collaborators of Martino E. Malerba. A scholar is included among the top collaborators of Martino E. Malerba 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 Martino E. Malerba. Martino E. Malerba 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.
Burton, Michael, et al.. (2025). Incentivising farm dam Enhancement: Barriers, motivations, and market potential in Australian grazing systems. Journal of Environmental Management. 394. 127314–127314.
2.
3.
Odebiri, Omosalewa, Benjamin C. Scheele, David B. Lindenmayer, David Smith, & Martino E. Malerba. (2025). Fencing the Flux: Seasonal Trends, Environmental Drivers, and Mitigation Opportunities of Methane Emissions From Farm Dams. Global Change Biology. 31(12). e70637–e70637.
4.
Bell, Kristian, Maldwyn J. Evans, David B. Lindenmayer, et al.. (2025). Excluding livestock from farm dams enhances native biodiversity. Agriculture Ecosystems & Environment. 386. 109623–109623. 6 indexed citations
5.
Macreadie, Peter I., et al.. (2025). Nature positive farm dams. Agricultural Water Management. 316. 109580–109580.
6.
Smith, David, Maldwyn J. Evans, Ben C. Scheele, et al.. (2025). Grazing control and revegetation increases bird biodiversity at farm dams. Biological Conservation. 309. 111310–111310. 1 indexed citations
7.
Trevathan‐Tackett, Stacey M., et al.. (2025). Restoring riparian wetlands for carbon and nitrogen benefits and other critical ecosystem functions. Journal of Environmental Management. 391. 126433–126433.
8.
Odebiri, Omosalewa, et al.. (2024). Excluding livestock access to farm dams reduces methane emissions and boosts water quality. The Science of The Total Environment. 951. 175420–175420. 7 indexed citations
9.
Taillardat, Pierre, et al.. (2024). Freshwater wetland restoration and conservation are long-term natural climate solutions. The Science of The Total Environment. 922. 171218–171218. 20 indexed citations
10.
Malerba, Martino E., et al.. (2024). Global potential for seaweed aquaculture on existing offshore infrastructure. Heliyon. 11(1). e41248–e41248. 2 indexed citations
11.
Malerba, Martino E., Micheli Duarte de Paula Costa, Daniel A. Friess, et al.. (2023). Remote sensing for cost-effective blue carbon accounting. Earth-Science Reviews. 238. 104337–104337. 30 indexed citations
12.
Marshall, Dustin J., Martino E. Malerba, Thomas Lines, et al.. (2022). Long-term experimental evolution decouples size and production costs in Escherichia coli. Proceedings of the National Academy of Sciences. 119(21). e2200713119–e2200713119. 23 indexed citations
13.
Malerba, Martino E., David B. Lindenmayer, Ben C. Scheele, et al.. (2022). Fencing farm dams to exclude livestock halves methane emissions and improves water quality. Global Change Biology. 28(15). 4701–4712. 24 indexed citations
14.
Malerba, Martino E., Nicholas F. Wright, & Peter I. Macreadie. (2022). Australian farm dams are becoming less reliable water sources under climate change. The Science of The Total Environment. 829. 154360–154360. 15 indexed citations
15.
Malerba, Martino E., et al.. (2022). Methane emissions from agricultural ponds are underestimated in national greenhouse gas inventories. Communications Earth & Environment. 3(1). 34 indexed citations
16.
Malerba, Martino E. & Dustin J. Marshall. (2021). Larger cells have relatively smaller nuclei across the Tree of Life. Evolution Letters. 5(4). 306–314. 16 indexed citations
17.
Malerba, Martino E., Dustin J. Marshall, Maria M. Palacios, John A. Raven, & John Beardall. (2020). Cell size influences inorganic carbon acquisition in artificially selected phytoplankton. New Phytologist. 229(5). 2647–2659. 13 indexed citations
18.
Malerba, Martino E., Maria M. Palacios, & Dustin J. Marshall. (2018). Do larger individuals cope with resource fluctuations better? An artificial selection approach. Proceedings of the Royal Society B Biological Sciences. 285(1884). 20181347–20181347. 19 indexed citations
19.
Malerba, Martino E., et al.. (2018). Beneficial Mutations from Evolution Experiments Increase Rates of Growth and Fermentation. Journal of Molecular Evolution. 86(2). 111–117. 7 indexed citations
20.
Palacios, Maria M., Martino E. Malerba, & Mark I. McCormick. (2018). Multiple predator effects on juvenile prey survival. Oecologia. 188(2). 417–427. 11 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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