Britta Basse

24 papers receiving 451 citations

Peers

Britta Basse
Comparison fields: 5 of 85
  • Modeling and Simulation 220
  • Numerical Analysis 37
  • Biophysics 28
  • Nature and Landscape Conservation 57
  • Ecological Modeling 17
Replace K. Kawasaki with:
K. Kawasaki Japan
Matthew D. Johnston United States
Eva Sánchez Spain
Vincent Calvez France
Alan J. Terry United Kingdom
Amina Eladdadi United States
Philipp Getto Germany
Harold P. de Vladar Austria
M.J. Vilela Brazil
Zhong Zhao China
Britta Basse relative to K. Kawasaki Japan K. Kawasaki's profile →
Citations per field
00.5×8.5×
K. Kawasaki · 1×
Citations per year

Countries citing papers authored by Britta Basse

Since Specialization
Citations

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

Fields of papers citing papers by Britta Basse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Britta Basse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Britta Basse Line = papers co-authored together Britta Basse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200388
2 200450
3 199945
4 200440
5 200736
6 200434
7 200628
8 200328
9 200422
10
Protected areas for kiwi in mainland forests of New Zealand: how large should they be?
200315
11 201212
12
S33-3 Indigenous gray ducks, Anas superciliosa, and introduced mallards, A. platyrhynchos, in New Zealand: processes and outcome of a deliberate encounter
200612
13 200911
14 201610
15 20099
16 20158
17 20108
18 20078
19 20157
20 20106

About Britta Basse

Britta Basse is a scholar working on Modeling and Simulation, Molecular Biology, Ecology, Nature and Landscape Conservation and Cell Biology, having authored 24 papers that have together received 495 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (12 papers), Animal Ecology and Behavior Studies (5 papers), Gene Regulatory Network Analysis (5 papers), Wildlife Ecology and Conservation (4 papers), Microtubule and mitosis dynamics (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Biological Control of Invasive Species (3 papers) and Weed Control and Herbicide Applications (2 papers). The work is most often cited by research in Modeling and Simulation (220 citations), Numerical Analysis (37 citations), Biophysics (28 citations), Nature and Landscape Conservation (57 citations) and Ecological Modeling (17 citations). Britta Basse has collaborated with scholars based in New Zealand, Italy and Germany. Frequent co-authors include G.C. Wake, Bruce C. Baguley, David J. N. Wall, Elaine S. Marshall, Paolo Ubezio, John McLennan, Wayne R. Joseph, Bruce van Brunt, John Innes and Ian Flux. Their work appears in journals such as Bulletin of Mathematical Biology, Journal of Mathematical Biology, Mathematical Medicine and Biology A Journal of the IMA, Progress in Biophysics and Molecular Biology and Journal of Theoretical Biology.

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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