Tim W. Nattkemper
- Biophysics top 1%
- Cell Image Analysis Techniques 32
- Oceanography top 5%
- Underwater Acoustics Research 12
- Ecology top 2%
- Coral and Marine Ecosystems Studies 20
- Media Technology top 2%
- Image Processing Techniques and Applications 12
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- AI in cancer detection 21
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- Metabolomics and Mass Spectrometry Studies 14
- Genomics and Phylogenetic Studies 14
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- Water Quality Monitoring Technologies 11
- Co-authors
- Daniel LangenkämperTimm SchoeningMartin ZurowietzAlexander GoesmannKarsten NiehausLutz KrauseNaryttza N. DiazThorsten Twellmann
- Cited by
- BiophysicsOceanographyEcology
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Tim W. Nattkemper
150 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 157
- Biophysics 275
- Oceanography 359
- Ecology 754
- Computer Vision and Pattern Recognition 345
- Media Technology 140
Countries citing papers authored by Tim W. Nattkemper
This map shows the geographic impact of Tim W. Nattkemper'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 Tim W. Nattkemper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim W. Nattkemper more than expected).
Fields of papers citing papers by Tim W. Nattkemper
This network shows the impact of papers produced by Tim W. Nattkemper. 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 Tim W. Nattkemper. The network helps show where Tim W. Nattkemper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim W. Nattkemper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 38 | |
| 8 | 2017 | 167 | |
| 9 | 2014 | 24 | |
| 10 | Application of Hydro-Acoustic and Video Data for the Exploration of Manganese Nodule Fields | 2013 | 1 |
| 11 | 2010 | 18 | |
| 12 | 2008 | 190 | |
| 13 | 2007 | 36 | |
| 14 | 2006 | 28 | |
| 15 | Tumour feature analysis with unsupervised machine learning | 2005 | 2 |
| 16 | A hyperbolic topographic mapping for proximity data | 2005 | 10 |
| 17 | Identification of Cell Viability by an In-situ Dark-fieldMicroscopic Sensor | 2005 | 3 |
| 18 | Multivariate image analysis in biomedicine: a methodological review | 2004 | 5 |
| 19 | AQUISAR: Image Retrieval in Underwater Webcam Images | 2004 | 0 |
| 20 | A neural network architecture for automatic segmentation of fluorescence micrographs. | 2000 | 2 |
About Tim W. Nattkemper
Tim W. Nattkemper is a scholar working on Biophysics, Media Technology and Computer Vision and Pattern Recognition, having authored 162 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (32 papers), AI in cancer detection (21 papers), Coral and Marine Ecosystems Studies (20 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Genomics and Phylogenetic Studies (14 papers), Underwater Acoustics Research (12 papers), Image Processing Techniques and Applications (12 papers) and Water Quality Monitoring Technologies (11 papers). The work is most often cited by research in Biophysics (275 citations), Oceanography (359 citations) and Ecology (754 citations). Tim W. Nattkemper has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Daniel Langenkämper, Timm Schoening, Martin Zurowietz, Alexander Goesmann, Karsten Niehaus, Lutz Krause, Naryttza N. Diaz, Thorsten Twellmann, Walter Schubert and Jörg Ontrup. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Frontiers in Marine Science, Bioinformatics and Journal of Biotechnology.
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.