Peer Neubert
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Medical Image Segmentation Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Image and Video Retrieval Techniques 25
- Robotic Path Planning Algorithms 5
- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 4
- Medical Image Segmentation Techniques 3
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- Robotics and Sensor-Based Localization 27
- Co-authors
- Peter Protzel (38 shared papers)Stefan Schubert (16 shared papers)Niko Suenderhauf (4 shared papers)Niko Sünderhauf (5 shared papers)Tom Duckett (1 shared paper)Tomáš Krajník (1 shared paper)Pablo De Cristóforis (1 shared paper)Sven Lange (2 shared papers)
In The Last Decade
Peer Neubert
43 papers receiving 923 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 649
- Aerospace Engineering 540
- Geology 50
- Media Technology 57
- Electrical and Electronic Engineering 273
Countries citing papers authored by Peer Neubert
This map shows the geographic impact of Peer Neubert'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 Peer Neubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peer Neubert more than expected).
Fields of papers citing papers by Peer Neubert
This network shows the impact of papers produced by Peer Neubert. 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 Peer Neubert. The network helps show where Peer Neubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Peer Neubert, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Are We There Yet? Challenging SeqSLAM on a 3000 km Journey Across All Four Seasons | 2013 | 181 |
| 2 | 2014 | 135 | |
| 3 | 2013 | 79 | |
| 4 | 2019 | 68 | |
| 5 | 2016 | 44 | |
| 6 | 2019 | 38 | |
| 7 | 2012 | 34 | |
| 8 | 2023 | 31 | |
| 9 | 2016 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2017 | 23 | |
| 14 | 2021 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2013 | 15 | |
| 17 | 2020 | 15 | |
| 18 | Superpixels and their Application for Visual Place Recognition in Changing Environments | 2015 | 13 |
| 19 | Learning Vector Symbolic Architectures for Reactive Robot Behaviours | 2017 | 12 |
| 20 | Predicting the change - A step towards life-long operation in everyday environments | 2013 | 12 |
About Peer Neubert
Peer Neubert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Media Technology, having authored 46 papers that have together received 945 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (27 papers), Advanced Image and Video Retrieval Techniques (25 papers), Indoor and Outdoor Localization Technologies (7 papers), Robotic Path Planning Algorithms (5 papers), Video Surveillance and Tracking Methods (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Neural Network Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Aerospace Engineering (540 citations), Geology (50 citations), Media Technology (57 citations) and Electrical and Electronic Engineering (273 citations). Peer Neubert has collaborated with scholars based in Germany, Sweden and Bulgaria. Frequent co-authors include Peter Protzel, Stefan Schubert, Niko Suenderhauf, Niko Sünderhauf, Tom Duckett, Tomáš Krajník, Pablo De Cristóforis, Sven Lange, Tobias Fischer and Sourav Garg. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IEEE Robotics & Automation Magazine, IEEE Sensors Journal and Nature Machine Intelligence.
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.