Daniel Langenkämper

909 total citations
31 papers, 485 citations indexed

About

Daniel Langenkämper is a scholar working on Molecular Biology, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Langenkämper has authored 31 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Ecology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Langenkämper's work include Coral and Marine Ecosystems Studies (7 papers), Advanced Neural Network Applications (5 papers) and Genomics and Phylogenetic Studies (4 papers). Daniel Langenkämper is often cited by papers focused on Coral and Marine Ecosystems Studies (7 papers), Advanced Neural Network Applications (5 papers) and Genomics and Phylogenetic Studies (4 papers). Daniel Langenkämper collaborates with scholars based in Germany, United Kingdom and Norway. Daniel Langenkämper's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Daniel Langenkämper

27 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Langenkämper Germany 11 178 139 76 75 57 31 485
Beth Stauffer United States 13 178 1.0× 329 2.4× 62 0.8× 91 1.2× 103 1.8× 30 753
Damianos Chatzievangelou Spain 13 209 1.2× 96 0.7× 95 1.3× 66 0.9× 96 1.7× 33 454
Martin Zurowietz Germany 9 175 1.0× 128 0.9× 69 0.9× 39 0.5× 43 0.8× 12 347
Paul L. D. Roberts United States 16 199 1.1× 300 2.2× 100 1.3× 40 0.5× 195 3.4× 52 672
Marc Nogueras Spain 10 136 0.8× 48 0.3× 82 1.1× 38 0.5× 87 1.5× 20 342
Brian Kieft United States 16 259 1.5× 282 2.0× 81 1.1× 109 1.5× 431 7.6× 41 819
Julio B.J. Harvey United States 13 273 1.5× 294 2.1× 142 1.9× 93 1.2× 123 2.2× 23 576
Stein M. Nornes Norway 6 99 0.6× 72 0.5× 64 0.8× 12 0.2× 56 1.0× 11 289
Jinsong Chen China 16 183 1.0× 20 0.1× 85 1.1× 18 0.2× 48 0.8× 64 811

Countries citing papers authored by Daniel Langenkämper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Langenkämper, Daniel, et al.. (2025). ECO(VI)2SE: Expert-computer vision integration for visual coral status exploration. Ecological Informatics. 89. 103162–103162.
2.
Langenkämper, Daniel, et al.. (2025). Scaling down annotation needs: The capacity of self-supervised learning on diatom classification. iScience. 28(4). 112236–112236.
3.
Kloster, Michael, Daniel Langenkämper, Cédric Pradalier, et al.. (2024). “UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models. GigaScience. 13. 4 indexed citations
4.
Momber, Andreas W., et al.. (2023). The exploration and annotation of large amounts of visual inspection data for protective coating systems on stationary marine steel structures. Ocean Engineering. 278. 114337–114337. 14 indexed citations
8.
Momber, Andreas W., et al.. (2021). A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures. Wind Engineering. 46(3). 949–971. 27 indexed citations
9.
Kloster, Michael, Daniel Langenkämper, Martin Zurowietz, Bánk Beszteri, & Tim W. Nattkemper. (2020). Deep learning-based diatom taxonomy on virtual slides. Scientific Reports. 10(1). 14416–14416. 38 indexed citations
10.
Schoening, Timm, Autun Purser, Daniel Langenkämper, et al.. (2020). Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. Biogeosciences. 17(12). 3115–3133. 25 indexed citations
11.
Langenkämper, Daniel, et al.. (2020). GAN-BASED SYNTHESIS OF DEEP LEARNING TRAINING DATA FOR UAV MONITORING. SHILAP Revista de lepidopterología. XLIII-B1-2020. 465–469. 3 indexed citations
12.
Langenkämper, Daniel, Erik Simon‐Lledó, Brett Hosking, Daniel O. B. Jones, & Tim W. Nattkemper. (2019). On the impact of Citizen Science-derived data quality on deep learning based classification in marine images. PLoS ONE. 14(6). e0218086–e0218086. 23 indexed citations
13.
Zurowietz, Martin, Daniel Langenkämper, & Tim W. Nattkemper. (2019). BIIGLE2Go—A scalable image annotation system for easy deployment on cruises. OCEANS 2019 - Marseille. 1–6. 1 indexed citations
14.
Zurowietz, Martin, Daniel Langenkämper, Brett Hosking, Henry A. Ruhl, & Tim W. Nattkemper. (2018). MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration. PLoS ONE. 13(11). e0207498–e0207498. 48 indexed citations
15.
Langenkämper, Daniel, Martin Zurowietz, Timm Schoening, & Tim W. Nattkemper. (2017). BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science. 4. 167 indexed citations
16.
Langenkämper, Daniel, et al.. (2016). Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations. Frontiers in Genetics. 7. 5–5. 3 indexed citations
18.
Langenkämper, Daniel, Alexander Goesmann, & Tim W. Nattkemper. (2014). AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization. BMC Bioinformatics. 15(1). 384–384. 5 indexed citations
19.
Langenkämper, Daniel, et al.. (2012). WHIDE—a web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics. 28(8). 1143–1150. 24 indexed citations
20.
Langenkämper, Daniel, et al.. (2011). TICAL - a web-tool for multivariate image clustering and data topology preserving visualization. PUB – Publications at Bielefeld University (Bielefeld University). 1 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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