Daniel Langenkämper
Impact in
- Oceanography top 10%
- Marine Biology and Ecology Research
- Underwater Acoustics Research
- Ecology top 10%
- Coral and Marine Ecosystems Studies
Papers in
- Ecology 8
- Coral and Marine Ecosystems Studies 7
-
- Advanced Neural Network Applications 5
- Co-authors
- Tim W. Nattkemper (31 shared papers)Martin Zurowietz (5 shared papers)Timm Schoening (3 shared papers)Brett Hosking (2 shared papers)Andreas W. Momber (5 shared papers)Michael Kloster (4 shared papers)Bánk Beszteri (3 shared papers)Henry A. Ruhl (1 shared paper)
- Journals
- PLoS ONE (5 papers)Frontiers in Marine Science (2 papers)Ecological Informatics (1 paper)iScience (1 paper)GigaScience (1 paper)
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Daniel Langenkämper
27 papers receiving 494 citations
Peers
Comparison fields: 5 of 84
- Oceanography 143
- Ecology 183
- Ecological Modeling 23
- Biophysics 25
- Nature and Landscape Conservation 48
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-authors
The 25 scholars most cited alongside Daniel Langenkämper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2018 | 50 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 25 | |
| 7 | 2012 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2016 | 5 | |
| 20 | TOWARDS PROTEIN NETWORK ANALYSIS USING TIS IMAGING AND EXPLORATORY DATA ANALYSIS | 2011 | 4 |
About Daniel Langenkämper
Daniel Langenkämper is a scholar working on Ecology, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Mechanical Engineering, having authored 31 papers that have together received 508 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (7 papers), Advanced Neural Network Applications (5 papers), Water Quality Monitoring Technologies (4 papers), Cell Image Analysis Techniques (4 papers), Structural Integrity and Reliability Analysis (3 papers), Marine and fisheries research (3 papers), Underwater Vehicles and Communication Systems (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Oceanography (143 citations), Ecology (183 citations), Ecological Modeling (23 citations), Biophysics (25 citations) and Nature and Landscape Conservation (48 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, Michael Kloster, Bánk Beszteri, Henry A. Ruhl, Autun Purser and Sylvie Abouna. Their work appears in journals such as PLoS ONE, Frontiers in Marine Science, Ecological Informatics, iScience and GigaScience.
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.