Fiona Dyer

2.4k total citations
71 papers, 1.3k citations indexed

About

Fiona Dyer is a scholar working on Ecology, Nature and Landscape Conservation and Water Science and Technology. According to data from OpenAlex, Fiona Dyer has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Ecology, 27 papers in Nature and Landscape Conservation and 25 papers in Water Science and Technology. Recurrent topics in Fiona Dyer's work include Fish Ecology and Management Studies (23 papers), Hydrology and Watershed Management Studies (21 papers) and Hydrology and Sediment Transport Processes (21 papers). Fiona Dyer is often cited by papers focused on Fish Ecology and Management Studies (23 papers), Hydrology and Watershed Management Studies (21 papers) and Hydrology and Sediment Transport Processes (21 papers). Fiona Dyer collaborates with scholars based in Australia, Germany and United Kingdom. Fiona Dyer's co-authors include Martin C. Thoms, Jon Olley, William J. Young, Carmel Pollino, Carol A. Couch, Matthew J. Colloff, Michael J. Stewardson, Mike Acreman, Ian Overton and N. D. Crossman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Fiona Dyer

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Dyer Australia 19 687 558 493 349 194 71 1.3k
Jeffrey J. Opperman United States 19 651 0.9× 598 1.1× 495 1.0× 556 1.6× 191 1.0× 27 1.4k
Rafael Schmitt United States 21 668 1.0× 727 1.3× 371 0.8× 567 1.6× 356 1.8× 43 1.6k
D. J. Booker New Zealand 25 1.0k 1.5× 986 1.8× 751 1.5× 557 1.6× 206 1.1× 70 1.8k
José Barquín Spain 26 1.1k 1.6× 603 1.1× 716 1.5× 373 1.1× 187 1.0× 92 1.7k
Jens Kiesel Germany 22 470 0.7× 739 1.3× 325 0.7× 423 1.2× 205 1.1× 64 1.2k
Ian Overton Australia 18 512 0.7× 650 1.2× 409 0.8× 622 1.8× 126 0.6× 34 1.3k
Melinda D. Daniels United States 22 1.1k 1.6× 456 0.8× 458 0.9× 275 0.8× 414 2.1× 60 1.5k
Juha Sarkkula Finland 17 483 0.7× 497 0.9× 179 0.4× 511 1.5× 200 1.0× 51 1.3k
Joann Mossa United States 17 620 0.9× 407 0.7× 174 0.4× 293 0.8× 262 1.4× 62 1.2k
Sukhmani Mantel South Africa 17 443 0.6× 315 0.6× 329 0.7× 357 1.0× 90 0.5× 61 928

Countries citing papers authored by Fiona Dyer

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Dyer

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Dyer. A scholar is included among the top collaborators of Fiona Dyer 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 Fiona Dyer. Fiona Dyer 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.
Giling, Darren P., Fiona Dyer, Michael Grace, et al.. (2025). Season and Flow Drive Productivity of a Regulated River. Ecosystems. 28(1).
2.
Campbell, Cherie J., et al.. (2023). More Than a Service: Values of Rivers, Wetlands and Floodplains Are Informed by Both Function and Feeling. Environmental Management. 73(1). 130–143. 3 indexed citations
3.
Dyer, Fiona, et al.. (2023). The photolytic breakdown of caffeine and paracetamol residues in surface water. Water Environment Research. 95(8). e10909–e10909. 1 indexed citations
4.
Schlesinger, Christine, et al.. (2023). Investigating avian competition for surface water in an arid zone bioregion. Ecology and Evolution. 13(8). e10396–e10396. 1 indexed citations
5.
Campbell, Cherie J., et al.. (2023). Beyond a ‘just add water’ perspective: environmental water management for vegetation outcomes. Journal of Environmental Management. 348. 119499–119499. 2 indexed citations
6.
Caron, Valérie, et al.. (2021). Restoring cultural plant communities at sacred water sites. Australasian Journal of Water Resources. 25(1). 70–79. 3 indexed citations
7.
Doody, Tanya M., et al.. (2021). The response to environmental flows of a culturally significant flood-dependent species: Centipeda cunninghamii (Asteraceae). Marine and Freshwater Research. 72(7). 1086–1091. 2 indexed citations
8.
Casas‐Mulet, Roser, Davide Vanzo, Camille J. Macnaughton, et al.. (2020). How to strengthen interdisciplinarity in ecohydraulics? Outcomes from ISE 2018. DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)). 8(1). 1–12. 1 indexed citations
9.
Dyer, Fiona, et al.. (2020). Multi-year pair-bonding in Murray cod ( Maccullochella peelii ). PeerJ. 8. e10460–e10460. 4 indexed citations
10.
Dyer, Fiona, Ross M. Thompson, Richard P. Duncan, et al.. (2019). Application of DArT seq derived SNP tags for comparative genome analysis in fishes; An alternative pipeline using sequence data from a non-traditional model species, Macquaria ambigua. PLoS ONE. 14(12). e0226365–e0226365. 12 indexed citations
11.
Dyer, Fiona, Ross M. Thompson, Richard P. Duncan, et al.. (2019). Karyotypes and Sex Chromosomes in Two Australian Native Freshwater Fishes, Golden Perch (Macquaria ambigua) and Murray Cod (Maccullochella peelii) (Percichthyidae). International Journal of Molecular Sciences. 20(17). 4244–4244. 7 indexed citations
12.
Kath, Jarrod, James R. Thomson, Ross M. Thompson, et al.. (2018). Interactions among stressors may be weak: Implications for management of freshwater macroinvertebrate communities. Diversity and Distributions. 24(7). 939–950. 26 indexed citations
13.
Dyer, Fiona, et al.. (2017). Late Holocene temperature variability in Tasmania inferred from borehole temperature data. Climate of the past. 13(6). 559–572. 6 indexed citations
14.
Moon, Katie, et al.. (2017). Creating institutional flexibility for adaptive water management: insights from two management agencies. Journal of Environmental Management. 202(Pt 1). 188–197. 22 indexed citations
15.
Unmack, Peter J., et al.. (2016). Who’s your mama? Riverine hybridisation of threatened freshwater Trout Cod and Murray Cod. PeerJ. 4. e2593–e2593. 20 indexed citations
16.
Harrison, Evan, et al.. (2013). Historical Land-Use Influences the Long-Term Stream Turbidity Response to a Wildfire. Environmental Management. 53(2). 393–400. 6 indexed citations
17.
Moon, Vicki G., et al.. (2008). Sediment fingerprinting in New Zealand: a pilot study into the feasibility of the application of the technique.. IAHS-AISH publication. 143–146. 1 indexed citations
18.
Dyer, Fiona, et al.. (2002). Topographical change and sediment transport after habitat improvement in the Pankenai River, Japan. IAHS-AISH publication. 93–101. 2 indexed citations
19.
Dyer, Fiona, Martin C. Thoms, & Jon Olley. (2002). The structure, function and management implications of fluvial sedimentary systems. 161 indexed citations
20.
Norris, Richard H., et al.. (2001). Snapshot of the Murray- Darling Basin River Condition. 4(5). 586–93. 33 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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