Jürgen Hahn
- Media Technology top 1%
- Atmospheric Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Artificial Intelligence
- Co-authors
- Christian DebesAndreas MerentitisNikolaos FrangiadakisWenzhi LiaoRik BellensSaurabh PrasadTim van KasterenAleksandra Pižurica
- Topics
- Remote-Sensing Image Classification (4 papers)Sparse and Compressive Sensing Techniques (2 papers)Image and Signal Denoising Methods (2 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDigital Signal Processing
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jürgen Hahn
11 papers receiving 565 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Media Technology 438
- Atmospheric Science 191
- Computer Vision and Pattern Recognition 142
- Ecology 88
- Artificial Intelligence 88
Countries citing papers authored by Jürgen Hahn
This map shows the geographic impact of Jürgen Hahn'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 Jürgen Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Hahn more than expected).
Fields of papers citing papers by Jürgen Hahn
This network shows the impact of papers produced by Jürgen Hahn. 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 Jürgen Hahn. The network helps show where Jürgen Hahn may publish in the future.
Co-authorship network of co-authors of Jürgen Hahn
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Hahn. A scholar is included among the top collaborators of Jürgen Hahn 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 Jürgen Hahn. Jürgen Hahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contestbreakdown → | 465 |
| 8 | Band selection for hyperspectral images based on self-tuning spectral clustering | 8 |
| 9 | 52 | |
| 10 | 29 | |
| 11 | 6 |
About Jürgen Hahn
Jürgen Hahn is a scholar working on Media Technology, Geography, Planning and Development and Ocean Engineering, having authored 11 papers that have together received 584 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Media Technology (438 citations), Acoustics and Ultrasonics (23 citations) and Atmospheric Science (191 citations). Jürgen Hahn has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christian Debes, Andreas Merentitis, Nikolaos Frangiadakis, Wenzhi Liao, Rik Bellens, Saurabh Prasad, Tim van Kasteren, Aleksandra Pižurica, Sidharta Gautama and Wilfried Philips. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Digital Signal Processing.
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.