Florian Raudies

1.1k total citations
27 papers, 696 citations indexed

About

Florian Raudies is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Florian Raudies has authored 27 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Florian Raudies's work include Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (9 papers) and Advanced Vision and Imaging (9 papers). Florian Raudies is often cited by papers focused on Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (9 papers) and Advanced Vision and Imaging (9 papers). Florian Raudies collaborates with scholars based in United States, Germany and Netherlands. Florian Raudies's co-authors include Heiko Neumann, Michael E. Hasselmo, G. William Chapman, Victor A. F. Lamme, Jasper Poort, Pieter R. Roelfsema, James R. Hinman, Andrew S. Alexander, Ennio Mingolla and Mark P. Brandon and has published in prestigious journals such as Neuron, PLoS ONE and The Journal of Physiology.

In The Last Decade

Florian Raudies

27 papers receiving 687 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 Raudies United States 14 530 228 117 50 49 27 696
Denis Sheynikhovich France 12 324 0.6× 157 0.7× 28 0.2× 50 1.0× 27 0.6× 19 455
Matthias Minderer United States 8 331 0.6× 223 1.0× 191 1.6× 24 0.5× 40 0.8× 11 684
Nathaniel J. Killian United States 6 361 0.7× 233 1.0× 32 0.3× 56 1.1× 22 0.4× 10 438
Nicholas G. Hatsopoulos United States 11 700 1.3× 367 1.6× 55 0.5× 14 0.3× 84 1.7× 24 823
Karl Zipser United States 10 1.2k 2.3× 451 2.0× 154 1.3× 35 0.7× 36 0.7× 12 1.5k
Gamaleldin F. Elsayed United States 9 527 1.0× 173 0.8× 124 1.1× 15 0.3× 46 0.9× 13 763
Ernest Greene United States 15 684 1.3× 292 1.3× 64 0.5× 88 1.8× 12 0.2× 77 882
Choongkil Lee South Korea 11 679 1.3× 181 0.8× 49 0.4× 76 1.5× 16 0.3× 23 827
Mototaka Suzuki Germany 13 898 1.7× 265 1.2× 37 0.3× 46 0.9× 50 1.0× 23 1.0k
R. Cotton United States 13 628 1.2× 365 1.6× 43 0.4× 43 0.9× 74 1.5× 38 981

Countries citing papers authored by Florian Raudies

Since Specialization
Citations

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

Fields of papers citing papers by Florian Raudies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Raudies

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Raudies. A scholar is included among the top collaborators of Florian Raudies 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 Raudies. Florian Raudies 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.
Alexander, Andrew S., et al.. (2020). Egocentric boundary vector tuning of the retrosplenial cortex. Science Advances. 6(8). eaaz2322–eaaz2322. 118 indexed citations
2.
Geyik, Sahin Cem, et al.. (2020). Impression Pacing for Jobs Marketplace at LinkedIn. 2445–2452. 2 indexed citations
3.
Raudies, Florian, et al.. (2018). The effect of structure on image classification using signatures. Biological Cybernetics. 112(5). 415–425. 1 indexed citations
4.
Raudies, Florian & Michael E. Hasselmo. (2017). A model of symbolic processing in Raven’s progressive matrices. Biologically Inspired Cognitive Architectures. 21. 47–58. 8 indexed citations
5.
Raudies, Florian & Michael E. Hasselmo. (2015). Differences in Visual-Spatial Input May Underlie Different Compression Properties of Firing Fields for Grid Cell Modules in Medial Entorhinal Cortex. PLoS Computational Biology. 11(11). e1004596–e1004596. 20 indexed citations
6.
Gilmore, Rick O., Florian Raudies, & Swapnaa Jayaraman. (2015). What accounts for developmental shifts in optic flow sensitivity?. 19–25. 8 indexed citations
7.
Raudies, Florian, Mark P. Brandon, G. William Chapman, & Michael E. Hasselmo. (2014). Head direction is coded more strongly than movement direction in a population of entorhinal neurons. Brain Research. 1621. 355–367. 49 indexed citations
8.
Raudies, Florian & Michael E. Hasselmo. (2014). A model of hippocampal spiking responses to items during learning of a context-dependent task. Frontiers in Systems Neuroscience. 8. 178–178. 14 indexed citations
9.
Raudies, Florian, et al.. (2014). Learning to navigate in a virtual world using optic flow and stereo disparity signals. Artificial Life and Robotics. 19(2). 157–169. 2 indexed citations
10.
Raudies, Florian, Eric A. Zilli, & Michael E. Hasselmo. (2014). Deep Belief Networks Learn Context Dependent Behavior. PLoS ONE. 9(3). e93250–e93250. 6 indexed citations
11.
Raudies, Florian, et al.. (2014). Neural network-based accelerators for transcendental function approximation. 169–174. 18 indexed citations
12.
Raudies, Florian & Heiko Neumann. (2013). Modeling heading and path perception from optic flow in the case of independently moving objects. Frontiers in Behavioral Neuroscience. 7. 23–23. 13 indexed citations
13.
Raudies, Florian, Ennio Mingolla, & Heiko Neumann. (2012). Active Gaze Control Improves Optic Flow-Based Segmentation and Steering. PLoS ONE. 7(6). e38446–e38446. 7 indexed citations
14.
Poort, Jasper, et al.. (2012). The Role of Attention in Figure-Ground Segregation in Areas V1 and V4 of the Visual Cortex. Neuron. 75(1). 143–156. 161 indexed citations
15.
Raudies, Florian, Ennio Mingolla, & Michael E. Hasselmo. (2012). Modeling the influence of optic flow on grid cell firing in the absence of other cues1. Journal of Computational Neuroscience. 33(3). 475–493. 22 indexed citations
16.
Raudies, Florian & Michael E. Hasselmo. (2012). Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue. PLoS Computational Biology. 8(6). e1002553–e1002553. 29 indexed citations
17.
Raudies, Florian & Heiko Neumann. (2012). A Bio-Inspired, Motion-Based Analysis of Crowd Behavior Attributes Relevance to Motion Transparency, Velocity Gradients, and Motion Patterns. PLoS ONE. 7(12). e53456–e53456. 9 indexed citations
18.
Müller, Hans‐Peter, Florian Raudies, Alexander Unrath, et al.. (2010). Quantification of human body fat tissue percentage by MRI. NMR in Biomedicine. 24(1). 17–24. 56 indexed citations
19.
Raudies, Florian, et al.. (2009). A model of neural mechanisms in monocular transparent motion perception. Journal of Physiology-Paris. 104(1-2). 71–83. 9 indexed citations
20.
Raudies, Florian & Heiko Neumann. (2009). A neural model of the temporal dynamics of figure–ground segregation in motion perception. Neural Networks. 23(2). 160–176. 26 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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