Florian Röhrbein

1.5k total citations
45 papers, 926 citations indexed

About

Florian Röhrbein is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Florian Röhrbein has authored 45 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 16 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Florian Röhrbein's work include Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (14 papers) and EEG and Brain-Computer Interfaces (8 papers). Florian Röhrbein is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (14 papers) and EEG and Brain-Computer Interfaces (8 papers). Florian Röhrbein collaborates with scholars based in Germany, China and Sweden. Florian Röhrbein's co-authors include Alois Knoll, Guang Chen, Jörg Conradt, Zhenshan Bing, Kai Huang, Hu Cao, Huajin Tang, Florian Walter, Christoph Zetzsche and Georg Meyer and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Experimental Brain Research.

In The Last Decade

Florian Röhrbein

39 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Röhrbein Germany 15 399 374 195 170 157 45 926
Kyoobin Lee South Korea 18 255 0.6× 308 0.8× 146 0.7× 187 1.1× 170 1.1× 59 1.1k
Ye Wang United States 16 431 1.1× 301 0.8× 197 1.0× 131 0.8× 73 0.5× 78 992
Uğur Halıcı Türkiye 15 246 0.6× 672 1.8× 250 1.3× 354 2.1× 289 1.8× 69 1.4k
Wanzhong Chen China 22 209 0.5× 1.3k 3.5× 237 1.2× 165 1.0× 186 1.2× 83 1.7k
Andrzej Kasiński Poland 12 323 0.8× 205 0.5× 182 0.9× 212 1.2× 88 0.6× 38 745
Bernd Porr United Kingdom 15 213 0.5× 513 1.4× 225 1.2× 69 0.4× 260 1.7× 80 1.0k
Mingai Li China 18 148 0.4× 533 1.4× 141 0.7× 133 0.8× 233 1.5× 94 807
Yueming Wang China 19 348 0.9× 486 1.3× 160 0.8× 451 2.7× 193 1.2× 99 1.4k
Jean Rouat Canada 17 211 0.5× 410 1.1× 351 1.8× 269 1.6× 142 0.9× 101 1.3k
Maria Rangoussi Greece 17 178 0.4× 459 1.2× 143 0.7× 147 0.9× 111 0.7× 78 1.1k

Countries citing papers authored by Florian Röhrbein

Since Specialization
Citations

This map shows the geographic impact of Florian Röhrbein'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 Florian Röhrbein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Röhrbein more than expected).

Fields of papers citing papers by Florian Röhrbein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Röhrbein. 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 Florian Röhrbein. The network helps show where Florian Röhrbein may publish in the future.

Co-authorship network of co-authors of Florian Röhrbein

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Röhrbein. A scholar is included among the top collaborators of Florian Röhrbein 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 Florian Röhrbein. Florian Röhrbein 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.
Qu, Sanqing, Florian Röhrbein, Cewu Lu, et al.. (2025). GLC++: Source-Free Universal Domain Adaptation Through Global-Local Clustering and Contrastive Affinity Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10646–10663. 1 indexed citations
2.
3.
4.
Köhler, Matthias, Fredrik Bengtsson, Florian Röhrbein, et al.. (2022). Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons. iScience. 25(4). 104083–104083. 5 indexed citations
5.
Chen, Guang, Hu Cao, Jörg Conradt, et al.. (2020). Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Processing Magazine. 37(4). 34–49. 202 indexed citations
6.
Köhler, Matthias, et al.. (2020). Biological data questions the support of the self inhibition required for pattern generation in the half center model. PLoS ONE. 15(9). e0238586–e0238586. 4 indexed citations
7.
Chen, Guang, et al.. (2019). FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition. Frontiers in Neuroscience. 13. 73–73. 10 indexed citations
8.
Walter, Florian, et al.. (2018). Hebbian learning for online prediction, neural recall and classical conditioning of anthropomimetic robot arm motions. Bioinspiration & Biomimetics. 13(6). 66009–66009. 2 indexed citations
9.
Chen, Guang, Hu Cao, Jieneng Chen, et al.. (2018). Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System. Journal of Advanced Transportation. 2018. 1–13. 39 indexed citations
10.
Bing, Zhenshan, et al.. (2018). End to End Learning of Spiking Neural Network based on R-STDP for a Lane Keeping Vehicle, to be appear. International Conference on Robotics and Automation. 1 indexed citations
11.
Bing, Zhenshan, et al.. (2018). A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks. Frontiers in Neurorobotics. 12. 35–35. 133 indexed citations
12.
Chen, Guang, Zhenshan Bing, Florian Röhrbein, et al.. (2017). Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform. IEEE Transactions on Cognitive and Developmental Systems. 11(1). 1–12. 21 indexed citations
13.
Bing, Zhenshan, Long Cheng, Guang Chen, et al.. (2017). Towards autonomous locomotion: CPG-based control of smooth 3D slithering gait transition of a snake-like robot. Bioinspiration & Biomimetics. 12(3). 35001–35001. 40 indexed citations
14.
Krichmar, Jeffrey L., et al.. (2017). A Computational Model for Spatial Navigation Based on Reference Frames in the Hippocampus, Retrosplenial Cortex, and Posterior Parietal Cortex. Frontiers in Neurorobotics. 11. 4–4. 36 indexed citations
15.
Röhrbein, Florian, Marc-Oliver Gewaltig, Cecilia Laschi, et al.. (2016). The Neurorobotics Platform of the Human Brain Project.. Cognitive Science. 1 indexed citations
16.
Richter, Christoph, Jesús A. Garrido, Eduardo Ros, et al.. (2016). Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics & Automation Magazine. 23(4). 128–137. 51 indexed citations
17.
Röhrbein, Florian, et al.. (2015). Structure Learning in Bayesian Networks with Parent Divorcing. Conference Cognitive Science. 5 indexed citations
18.
Walter, Florian, Florian Röhrbein, & Alois Knoll. (2015). Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks. Neural Networks. 72. 152–167. 52 indexed citations
19.
Walter, Florian, Florian Röhrbein, & Alois Knoll. (2015). Computation by Time. Neural Processing Letters. 44(1). 103–124. 15 indexed citations
20.
Meyer, Georg, Sophie Wuerger, Florian Röhrbein, & Christoph Zetzsche. (2005). Low-level integration of auditory and visual motion signals requires spatial co-localisation. Experimental Brain Research. 166(3-4). 538–547. 83 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.

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