Fiona Danks

610 total citations
10 papers, 449 citations indexed

About

Fiona Danks is a scholar working on General Health Professions, Ecological Modeling and Atmospheric Science. According to data from OpenAlex, Fiona Danks has authored 10 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Ecological Modeling and 4 papers in Atmospheric Science. Recurrent topics in Fiona Danks's work include Species Distribution and Climate Change (4 papers), Indigenous Studies and Ecology (4 papers) and Climate change and permafrost (3 papers). Fiona Danks is often cited by papers focused on Species Distribution and Climate Change (4 papers), Indigenous Studies and Ecology (4 papers) and Climate change and permafrost (3 papers). Fiona Danks collaborates with scholars based in United Kingdom, Finland and Switzerland. Fiona Danks's co-authors include Gareth Rees, Florian Stammler, Piers Vitebsky, Bernt Johansen, D. R. Klein, Stein Rune Karlsen, Neil Burgess, Chris Sandbrook, Marije Schaafsma and Bhaskar Vira and has published in prestigious journals such as Trends in Ecology & Evolution, Climatic Change and International Journal of Remote Sensing.

In The Last Decade

Fiona Danks

10 papers receiving 422 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 Danks United Kingdom 9 207 152 104 97 93 10 449
Elia Machado de Oliveira Brazil 8 246 1.2× 282 1.9× 85 0.8× 88 0.9× 79 0.8× 31 464
Frank Hanssen Norway 12 344 1.7× 193 1.3× 50 0.5× 53 0.5× 132 1.4× 27 588
Lennart Nilsen Norway 14 202 1.0× 125 0.8× 72 0.7× 46 0.5× 213 2.3× 28 461
Erin Bunting United States 14 221 1.1× 274 1.8× 79 0.8× 54 0.6× 62 0.7× 39 485
Cerian Gibbes United States 15 202 1.0× 349 2.3× 27 0.3× 77 0.8× 51 0.5× 27 612
Aaron M. Petty United States 10 211 1.0× 285 1.9× 37 0.4× 27 0.3× 33 0.4× 17 466
Roger Suffling Canada 12 182 0.9× 230 1.5× 67 0.6× 24 0.2× 85 0.9× 22 418
Kira M. Hoffman Canada 11 167 0.8× 267 1.8× 22 0.2× 26 0.3× 60 0.6× 19 455
Phil Chamberlain United Kingdom 11 169 0.8× 85 0.6× 23 0.2× 54 0.6× 37 0.4× 26 465
Susan Julius United States 8 157 0.8× 196 1.3× 126 1.2× 30 0.3× 27 0.3× 26 416

Countries citing papers authored by Fiona Danks

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Danks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Danks

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

All Works

10 of 10 papers shown
1.
Valbuena, Rubén, Brian P. O’Connor, Florian Zellweger, et al.. (2020). Standardizing Ecosystem Morphological Traits from 3D Information Sources. Trends in Ecology & Evolution. 35(8). 656–667. 91 indexed citations
2.
Schleicher, Judith, Marije Schaafsma, Neil Burgess, et al.. (2017). Poorer without It? The Neglected Role of the Natural Environment in Poverty and Wellbeing. Sustainable Development. 26(1). 83–98. 82 indexed citations
3.
Knights, Kathryn, Camilo Zamora, Lauren Coad, et al.. (2014). A preliminary assessment of protected area management within the WWF ‘Coastal East Africa’ priority place, Eastern Africa. PARKS. 20(2). 77–88. 9 indexed citations
4.
Karlsen, Stein Rune, Anne Tolvanen, Eero Kubin, et al.. (2008). MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia. International Journal of Applied Earth Observation and Geoinformation. 10(3). 253–266. 104 indexed citations
5.
Karlsen, Stein Rune, et al.. (2008). A satellite-based map of onset of birch (Betula) flowering in Norway. Aerobiologia. 25(1). 15–25. 36 indexed citations
6.
Rees, Gareth, Florian Stammler, Fiona Danks, & Piers Vitebsky. (2007). Vulnerability of European reindeer husbandry to global change. Climatic Change. 87(1-2). 199–217. 71 indexed citations
7.
Zöckler, Christoph, Lera Miles, Lucy Fish, et al.. (2007). Potential impact of climate change and reindeer density on tundra indicator species in the Barents Sea region. Climatic Change. 87(1-2). 119–130. 11 indexed citations
8.
Rees, Gareth, Florian Stammler, Fiona Danks, & Piers Vitebsky. (2007). Vulnerability of European reindeer husbandry to global change. DOI 10.1007/s10584-007-9345-1. 4 indexed citations
9.
Rees, Gareth & Fiona Danks. (2007). Derivation and assessment of vegetation maps for reindeer pasture analysis in Arctic European Russia. Polar Record. 43(4). 290–304. 9 indexed citations
10.
Danks, Fiona & D. R. Klein. (2002). Using GIS to predict potential wildlife habitat: A case study of muskoxen in northern Alaska. International Journal of Remote Sensing. 23(21). 4611–4632. 32 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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