Carsten Meyer

70 papers receiving 2.8k citations

Carsten Meyer's Hit Papers

Essential biodiversity variables for mapping and monitoring species populations 2019 · 319 citations
3190+3+7Years since publication100200300400

Peers

Carsten Meyer
Comparison fields: 5 of 154
  • Ecological Modeling 955
  • Nature and Landscape Conservation 820
  • Ecology 840
  • Ecology, Evolution, Behavior and Systematics 535
  • Global and Planetary Change 557
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Thomas W. Yee New Zealand
M. S. Ridout United Kingdom
Uwe Ligges Germany
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Countries citing papers authored by Carsten Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Carsten Meyer, 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 Carsten Meyer Line = papers co-authored together Carsten Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global priorities for an effective information basis of biodiversity distributions
Hit paper breakdown →
2015404
2
Multidimensional biases, gaps and uncertainties in global plant occurrence information
Hit paper breakdown →
2016371
3
Essential biodiversity variables for mapping and monitoring species populations
Hit paper breakdown →
2019319
4
Swarm intelligence. A whole new way to think about business.
2001236
5 2018191
6 2018103
7 2016102
8 200687
9 201872
10 201569
11 200969
12 200469
13 201656
14 201556
15 202145
16 202045
17 200445
18 200742
19 202241
20 201539

About Carsten Meyer

Carsten Meyer is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Ecology, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (19 papers), Species Distribution and Climate Change (18 papers), Wildlife Ecology and Conservation (12 papers), Medical Image Segmentation Techniques (9 papers), Land Use and Ecosystem Services (8 papers), Plant and animal studies (7 papers), Medical Imaging Techniques and Applications (7 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Ecological Modeling (955 citations), Nature and Landscape Conservation (820 citations), Ecology (840 citations), Ecology, Evolution, Behavior and Systematics (535 citations) and Global and Planetary Change (557 citations). Carsten Meyer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Holger Kreft, Walter Jetz, Patrick Weigelt, Robert Guralnick, Eric Bonabeau, Jan Beck, Robert Giegerich, Tomáš Václavík, Matthew Harris and Petr Keil. Their work appears in journals such as Ecography, Global Ecology and Biogeography, Medical Image Analysis, Speech Communication and Frontiers of Biogeography.

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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