Niklas Deckers
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Speech and dialogue systems
Papers in
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- Optical measurement and interference techniques 2
- Advanced Vision and Imaging 1
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- Veterinary Pharmacology and Anesthesia 2
- Animal Behavior and Welfare Studies 1
- Co-authors
- Martin Potthast (2 shared papers)Janek Bevendorff (2 shared papers)Matthias Hagen (2 shared papers)Maik Fröbe (2 shared papers)Benno Stein (2 shared papers)Sean MacAvaney (1 shared paper)Ralf Reulke (6 shared papers)Guido Zuccon (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)elib (German Aerospace Center) (3 papers)arXiv (Cornell University) (1 paper)The international archives of the photogrammetry, remote sensing and spatial information sciences (2 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Niklas Deckers
6 papers receiving 47 citations
Peers
Comparison fields: 5 of 31
- Equine 5
- Artificial Intelligence 41
- Information Systems 22
- Small Animals 6
- Computer Vision and Pattern Recognition 14
Countries citing papers authored by Niklas Deckers
This map shows the geographic impact of Niklas Deckers'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 Niklas Deckers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Deckers more than expected).
Fields of papers citing papers by Niklas Deckers
This network shows the impact of papers produced by Niklas Deckers. 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 Niklas Deckers. The network helps show where Niklas Deckers may publish in the future.
Co-authors
The 16 scholars most cited alongside Niklas Deckers, 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 | 2023 | 33 | |
| 2 | 2024 | 22 | |
| 3 | 2018 | 5 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 2 | |
| 6 | 2017 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 0 |
About Niklas Deckers
Niklas Deckers is a scholar working on Computer Vision and Pattern Recognition, Small Animals, Artificial Intelligence, Environmental Engineering and Equine, having authored 8 papers that have together received 68 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Veterinary Equine Medical Research (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Web Data Mining and Analysis (1 paper), Remote Sensing in Agriculture (1 paper), Advanced Vision and Imaging (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Equine (5 citations), Artificial Intelligence (41 citations), Information Systems (22 citations), Small Animals (6 citations) and Computer Vision and Pattern Recognition (14 citations). Niklas Deckers has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Martin Potthast, Janek Bevendorff, Matthias Hagen, Maik Fröbe, Benno Stein, Sean MacAvaney, Ralf Reulke, Guido Zuccon, Johannes Kiesel and Shahbaz Syed. Their work appears in journals such as Lecture notes in computer science, elib (German Aerospace Center), arXiv (Cornell University) and The international archives of the photogrammetry, remote sensing and spatial information sciences.
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.