Hannes Schulz
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Advanced Neural Network Applications 7
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- Topic Modeling 8
- Domain Adaptation and Few-Shot Learning 7
- Speech and dialogue systems 6
- Natural Language Processing Techniques 5
- Co-authors
- Sven Behnke (22 shared papers)Max Schwarz (1 shared paper)Kaheer Suleman (4 shared papers)Shikhar Sharma (5 shared papers)Layla El Asri (4 shared papers)Thorsten Haase (4 shared papers)Jürgen Heß (4 shared papers)Sascha Kirchner (1 shared paper)
- Journals
- Neural Networks (2 papers)Plant and Soil (2 papers)Neurocomputing (1 paper)Journal of Cataract & Refractive Surgery (1 paper)Advanced Robotics (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Hannes Schulz
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 379
- Artificial Intelligence 365
- Agronomy and Crop Science 91
- Soil Science 81
- Insect Science 94
Countries citing papers authored by Hannes Schulz
This map shows the geographic impact of Hannes Schulz'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 Hannes Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannes Schulz more than expected).
Fields of papers citing papers by Hannes Schulz
This network shows the impact of papers produced by Hannes Schulz. 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 Hannes Schulz. The network helps show where Hannes Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannes Schulz, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 209 | |
| 2 | 2015 | 115 | |
| 3 | 2017 | 113 | |
| 4 | 2018 | 64 | |
| 5 | 2021 | 60 | |
| 6 | 2012 | 53 | |
| 7 | 2013 | 53 | |
| 8 | 2020 | 44 | |
| 9 | 2013 | 39 | |
| 10 | 2016 | 31 | |
| 11 | Learning Object-Class Segmentation with Convolutional Neural Networks | 2012 | 26 |
| 12 | 2016 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 19 | |
| 18 | Investigating Convergence of Restricted Boltzmann Machine Learning | 2010 | 18 |
| 19 | 2014 | 18 | |
| 20 | Multi-Domain Task-Completion Dialog Challenge | 2019 | 17 |
About Hannes Schulz
Hannes Schulz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Soil Science and Aerospace Engineering, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Topic Modeling (8 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Plant nutrient uptake and metabolism (6 papers), Speech and dialogue systems (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Artificial Intelligence (365 citations), Agronomy and Crop Science (91 citations), Soil Science (81 citations) and Insect Science (94 citations). Hannes Schulz has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Sven Behnke, Max Schwarz, Kaheer Suleman, Shikhar Sharma, Layla El Asri, Thorsten Haase, Jürgen Heß, Sascha Kirchner, Jérémie Zumer and Justin Harris. Their work appears in journals such as Neural Networks, Plant and Soil, Neurocomputing, Journal of Cataract & Refractive Surgery and Advanced Robotics.
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.