Daniel Langenkämper
- Ecology top 10%
- Oceanography top 10%
- Global and Planetary Change
- Molecular Biology
- Ocean Engineering top 10%
- Co-authors
- Tim W. NattkemperMartin ZurowietzTimm SchoeningBrett HoskingAndreas W. MomberHenry A. RuhlMichael KlosterBánk Beszteri
- Topics
- Coral and Marine Ecosystems Studies (7 papers)Advanced Neural Network Applications (5 papers)Genomics and Phylogenetic Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Daniel Langenkämper
27 papers receiving 470 citations
Peers
Comparison fields: 5 of 84
- Ecology 178
- Oceanography 139
- Global and Planetary Change 76
- Molecular Biology 75
- Ocean Engineering 57
Countries citing papers authored by Daniel Langenkämper
This map shows the geographic impact of Daniel Langenkämper'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 Daniel Langenkämper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Langenkämper more than expected).
Fields of papers citing papers by Daniel Langenkämper
This network shows the impact of papers produced by Daniel Langenkämper. 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 Daniel Langenkämper. The network helps show where Daniel Langenkämper may publish in the future.
Co-authorship network of co-authors of Daniel Langenkämper
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Langenkämper. A scholar is included among the top collaborators of Daniel Langenkämper 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 Daniel Langenkämper. Daniel Langenkämper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 27 | |
| 9 | 38 | |
| 10 | 25 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 48 | |
| 15 | 167 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 24 | |
| 20 | TICAL - a web-tool for multivariate image clustering and data topology preserving visualization | 1 |
About Daniel Langenkämper
Daniel Langenkämper is a scholar working on Biophysics, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 485 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (7 papers), Advanced Neural Network Applications (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Oceanography (139 citations), Ecology (178 citations) and Ecological Modeling (23 citations). Daniel Langenkämper has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Tim W. Nattkemper, Martin Zurowietz, Timm Schoening, Brett Hosking, Andreas W. Momber, Henry A. Ruhl, Michael Kloster, Bánk Beszteri, Autun Purser and Daniel O. B. Jones. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.