Greta C. Dargie

2.6k total citations · 1 hit paper
19 papers, 825 citations indexed

About

Greta C. Dargie is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Greta C. Dargie has authored 19 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 9 papers in Global and Planetary Change and 4 papers in Nature and Landscape Conservation. Recurrent topics in Greta C. Dargie's work include Peatlands and Wetlands Ecology (11 papers), Coastal wetland ecosystem dynamics (11 papers) and Fire effects on ecosystems (7 papers). Greta C. Dargie is often cited by papers focused on Peatlands and Wetlands Ecology (11 papers), Coastal wetland ecosystem dynamics (11 papers) and Fire effects on ecosystems (7 papers). Greta C. Dargie collaborates with scholars based in United Kingdom, Republic of the Congo and United States. Greta C. Dargie's co-authors include Susan Page, Suspense A. Ifo, Ian T. Lawson, Simon L. Lewis, Yannick E. Bocko, Edward T. A. Mitchard, Patrick Meir, Yadvinder Malhi, Michael Zimmermann and Miles R. Silman and has published in prestigious journals such as Nature, PLoS ONE and Scientific Reports.

In The Last Decade

Greta C. Dargie

17 papers receiving 800 citations

Hit Papers

Age, extent and carbon st... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greta C. Dargie United Kingdom 9 479 411 179 112 90 19 825
Yannick E. Bocko Republic of the Congo 9 342 0.7× 332 0.8× 107 0.6× 129 1.2× 42 0.5× 20 668
Vic Engel United States 12 550 1.1× 529 1.3× 273 1.5× 160 1.4× 72 0.8× 14 1.0k
Michael Cherlet Italy 14 424 0.9× 545 1.3× 138 0.8× 81 0.7× 175 1.9× 25 929
Haidi Zhao China 15 482 1.0× 378 0.9× 135 0.8× 179 1.6× 164 1.8× 20 893
Jiaqiang Du China 13 341 0.7× 482 1.2× 132 0.7× 113 1.0× 133 1.5× 30 770
Sam Moore United Kingdom 11 459 1.0× 407 1.0× 170 0.9× 129 1.2× 74 0.8× 16 843
Xiao Xu China 14 639 1.3× 334 0.8× 96 0.5× 92 0.8× 76 0.8× 34 837
Zhaoxia Ye China 15 232 0.5× 503 1.2× 229 1.3× 79 0.7× 148 1.6× 40 876
Suspense A. Ifo Republic of the Congo 7 499 1.0× 423 1.0× 130 0.7× 70 0.6× 35 0.4× 15 783
Jinchi Zhang China 16 201 0.4× 647 1.6× 214 1.2× 63 0.6× 110 1.2× 32 1000

Countries citing papers authored by Greta C. Dargie

Since Specialization
Citations

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

Fields of papers citing papers by Greta C. Dargie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greta C. Dargie. 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 Greta C. Dargie. The network helps show where Greta C. Dargie may publish in the future.

Co-authorship network of co-authors of Greta C. Dargie

This figure shows the co-authorship network connecting the top 25 collaborators of Greta C. Dargie. A scholar is included among the top collaborators of Greta C. Dargie 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 Greta C. Dargie. Greta C. Dargie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hawthorne, Donna, Ian T. Lawson, Greta C. Dargie, et al.. (2025). Two contrasting swamp forest succession pathways in central Congo Basin peatlands. Quaternary Science Reviews. 369. 109637–109637.
2.
Dargie, Greta C., Jhon del Águila Pasquel, Timothy R. Baker, et al.. (2024). Net primary productivity and litter decomposition rates in two distinct Amazonian peatlands. Global Change Biology. 30(8). e17436–e17436.
3.
Hawthorne, Donna, Ian T. Lawson, Greta C. Dargie, et al.. (2023). Genesis and development of an interfluvial peatland in the central Congo Basin since the Late Pleistocene. Quaternary Science Reviews. 305. 107992–107992. 4 indexed citations
4.
Bocko, Yannick E., et al.. (2023). Allometric equation for Raphia laurentii De Wild, the commonest palm in the central Congo peatlands. PLoS ONE. 18(4). e0273591–e0273591. 1 indexed citations
5.
Bocko, Yannick E., et al.. (2023). Connaissances actuelles et orientations futures des recherches sur le complexe de tourbières de la Cuvette centrale du Congo. BOIS & FORETS DES TROPIQUES. 355. 73–86. 1 indexed citations
6.
Dargie, Greta C., Andy J. Baird, Paul J. Morris, et al.. (2023). First estimates of fine root production in tropical peat swamp and terra firme forests of the central Congo Basin. Scientific Reports. 13(1). 12315–12315. 3 indexed citations
7.
Page, Susan, Shailendra Mishra, Fahmuddin Agus, et al.. (2022). Anthropogenic impacts on lowland tropical peatland biogeochemistry. Nature Reviews Earth & Environment. 3(7). 426–443. 58 indexed citations
8.
Bocko, Yannick E., et al.. (2022). Current knowledge on the Cuvette Centrale peatland complex and future research directions. BOIS & FORETS DES TROPIQUES. 350. 3–14. 5 indexed citations
9.
Lawson, Ian T., Eurídice N. Honorio Coronado, Lydia E. S. Cole, et al.. (2022). The vulnerability of tropical peatlands to oil and gas exploration and extraction. St Andrews Research Repository (St Andrews Research Repository). 1(1-4). 84–114. 6 indexed citations
10.
Davenport, I. J., Iain M. McNicol, Edward T. A. Mitchard, et al.. (2020). UAV and Spaceborne LiDAR Gives First Evidence of Peat Domes in the Congo Basin. 3 indexed citations
11.
Davenport, I. J., Iain M. McNicol, Edward T. A. Mitchard, et al.. (2020). First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone. Remote Sensing. 12(14). 2196–2196. 16 indexed citations
12.
Thornton, Sara A., Sarah Cook, Dwi Astiani, et al.. (2019). ‘Pushing the limits’: experiences of women in tropical peatland research. Marine and Freshwater Research. 71(2). 170–178. 6 indexed citations
13.
Dargie, Greta C., Ian T. Lawson, Lera Miles, et al.. (2018). Congo Basin peatlands: threats and conservation priorities. Mitigation and Adaptation Strategies for Global Change. 24(4). 669–686. 61 indexed citations
14.
Bacon, Karen L., Andrew J. Baird, Marc‐André Bourgault, et al.. (2017). Questioning ten common assumptions about peatlands. Mires and Peat. 19. 12–12. 38 indexed citations
15.
Dargie, Greta C., Simon L. Lewis, Ian T. Lawson, et al.. (2017). Age, extent and carbon storage of the central Congo Basin peatland complex. Nature. 542(7639). 86–90. 399 indexed citations breakdown →
16.
Miles, Lera, Corinna Ravilious, Shaenandhoa García-Rangel, et al.. (2017). Carbon, biodiversity and land-use in the Central Congo Basin Peatlands. 9 indexed citations
17.
Lawson, Ian T., Thomas J. Kelly, Paul Aplin, et al.. (2014). Improving estimates of tropical peatland area, carbon storage, and greenhouse gas fluxes. Wetlands Ecology and Management. 23(3). 327–346. 43 indexed citations
18.
Silman, Miles R., Yadvinder Malhi, Joshua B. Fisher, et al.. (2010). Ecosystem Carbon Storage Across the Grassland–Forest Transition in the High Andes of Manu National Park, Peru. Ecosystems. 13(7). 1097–1111. 92 indexed citations
19.
Zimmermann, Michael, Patrick Meir, Miles R. Silman, et al.. (2009). No Differences in Soil Carbon Stocks Across the Tree Line in the Peruvian Andes. Ecosystems. 13(1). 62–74. 80 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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