Peer Neubert

1.4k total citations
36 papers, 801 citations indexed

About

Peer Neubert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peer Neubert has authored 36 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Peer Neubert's work include Advanced Image and Video Retrieval Techniques (23 papers), Robotics and Sensor-Based Localization (21 papers) and Indoor and Outdoor Localization Technologies (5 papers). Peer Neubert is often cited by papers focused on Advanced Image and Video Retrieval Techniques (23 papers), Robotics and Sensor-Based Localization (21 papers) and Indoor and Outdoor Localization Technologies (5 papers). Peer Neubert collaborates with scholars based in Germany, Sweden and Australia. Peer Neubert's co-authors include Peter Protzel, Stefan Schubert, Niko Suenderhauf, Niko Sünderhauf, Tom Duckett, Pablo De Cristóforis, Tomáš Krajník, Sourav Garg, Michael Milford and Tobias Fischer and has published in prestigious journals such as IEEE Sensors Journal, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Peer Neubert

35 papers receiving 784 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peer Neubert Germany 15 562 454 252 90 56 36 801
Ziyuan Huang China 14 1.1k 1.9× 545 1.2× 163 0.6× 150 1.7× 127 2.3× 34 1.3k
Yanghai Tsin United States 13 1.4k 2.4× 207 0.5× 152 0.6× 183 2.0× 150 2.7× 26 1.5k
Zheng Chang China 15 341 0.6× 150 0.3× 122 0.5× 72 0.8× 101 1.8× 64 699
Marta Mejail Argentina 14 341 0.6× 317 0.7× 57 0.2× 66 0.7× 121 2.2× 45 668
Manuel Werlberger Austria 7 938 1.7× 703 1.5× 142 0.6× 46 0.5× 60 1.1× 7 1.1k
Yihong Wu China 15 465 0.8× 359 0.8× 75 0.3× 45 0.5× 54 1.0× 66 736
Petr Gronát France 4 1.1k 2.0× 738 1.6× 177 0.7× 207 2.3× 82 1.5× 5 1.3k
F.C.A. Groen Netherlands 12 335 0.6× 195 0.4× 99 0.4× 96 1.1× 42 0.8× 39 641
Martin Čadík Czechia 16 780 1.4× 135 0.3× 76 0.3× 62 0.7× 221 3.9× 36 978

Countries citing papers authored by Peer Neubert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peer Neubert

This figure shows the co-authorship network connecting the top 25 collaborators of Peer Neubert. A scholar is included among the top collaborators of Peer Neubert 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 Peer Neubert. Peer Neubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kleyko, Denis, et al.. (2024). Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nature Machine Intelligence. 6(2). 243–244. 2 indexed citations
2.
Rachkovskij, Dmitri A., et al.. (2024). Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification. 1–7. 1 indexed citations
3.
4.
Schubert, Stefan, Peer Neubert, Sourav Garg, Michael Milford, & Tobias Fischer. (2023). Visual Place Recognition: A Tutorial [Tutorial]. IEEE Robotics & Automation Magazine. 31(3). 139–153. 25 indexed citations
5.
Neubert, Peer, et al.. (2022). HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 19 indexed citations
6.
7.
8.
Schubert, Stefan, Peer Neubert, & Peter Protzel. (2021). Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. 9 indexed citations
9.
Seidel, Peter, Pedram Ghamisi, Sandra Lorenz, et al.. (2020). Object Detection Routine for Material Streams Combining RGB and Hyperspectral Reflectance Data Based on Guided Object Localization. IEEE Sensors Journal. 20(19). 11490–11498. 14 indexed citations
10.
Neubert, Peer, Stefan Schubert, & Peter Protzel. (2019). An Introduction to Hyperdimensional Computing for Robotics. KI - Künstliche Intelligenz. 33(4). 319–330. 59 indexed citations
11.
Neubert, Peer & Peter Protzel. (2016). Beyond Holistic Descriptors, Keypoints, and Fixed Patches: Multiscale Superpixel Grids for Place Recognition in Changing Environments. IEEE Robotics and Automation Letters. 1(1). 484–491. 27 indexed citations
12.
Krajník, Tomáš, et al.. (2016). Image features for visual teach-and-repeat navigation in changing environments. Robotics and Autonomous Systems. 88. 127–141. 40 indexed citations
13.
Neubert, Peer. (2015). Superpixels and their Application for Visual Place Recognition in Changing Environments. Qucosa - Monarch (Chemnitz University of Technology). 11 indexed citations
14.
Neubert, Peer & Peter Protzel. (2015). Local region detector + CNN based landmarks for practical place recognition in changing environments. 1–6. 25 indexed citations
15.
Suenderhauf, Niko, et al.. (2014). Phobos and deimos on mars - Two autonomous robots for the DLR SpaceBot Cup. QUT ePrints (Queensland University of Technology). 1 indexed citations
16.
Neubert, Peer & Peter Protzel. (2014). Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms. 996–1001. 120 indexed citations
17.
Neubert, Peer, Niko Suenderhauf, & Peter Protzel. (2012). From saliency based image features towards semantic mapping. QUT ePrints (Queensland University of Technology). 3 indexed citations
18.
Sünderhauf, Niko, Peer Neubert, & Peter Protzel. (2010). The causal update filter — A novel biologically inspired filter paradigm for appearance-based SLAM. 3969–3974. 1 indexed citations
19.
Neubert, Peer, Peter Protzel, Teresa Vidal‐Calleja, & Simon Lacroix. (2008). A fast visual line segment tracker. 353–360. 9 indexed citations
20.
Neubert, Peer, Niko Sünderhauf, & Peter Protzel. (2007). FASTSLAM USING SURF FEATURES: AN EFFICIENT IMPLEMENTATION AND PRACTICAL EXPERIENCES. IFAC Proceedings Volumes. 40(15). 487–492. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ziyuan Huang Breakdown of academic impact, for papers by Yanghai Tsin Breakdown of academic impact, for papers by Zheng Chang Breakdown of academic impact, for papers by Marta Mejail Breakdown of academic impact, for papers by Manuel Werlberger Breakdown of academic impact, for papers by Yihong Wu Breakdown of academic impact, for papers by Petr Gronát Breakdown of academic impact, for papers by F.C.A. Groen Breakdown of academic impact, for papers by Martin Čadík
Rankless by CCL
2026