Jacques Kaiser

959 total citations
26 papers, 510 citations indexed

About

Jacques Kaiser is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacques Kaiser has authored 26 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 14 papers in Cognitive Neuroscience and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacques Kaiser's work include Advanced Memory and Neural Computing (17 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (10 papers). Jacques Kaiser is often cited by papers focused on Advanced Memory and Neural Computing (17 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (10 papers). Jacques Kaiser collaborates with scholars based in Germany, United States and Switzerland. Jacques Kaiser's co-authors include Emre Neftci, Hesham Mostafa, Arne Roennau, Rüdiger Dillmann, J. Camilo Vasquez Tieck, Agostino Martinelli, Davide Scaramuzza, Flavio Fontana, Konrad Wojtasik and J. Marius Zöllner and has published in prestigious journals such as Frontiers in Neuroscience, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Jacques Kaiser

24 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Kaiser Germany 11 361 216 115 102 99 26 510
Arren Glover Italy 12 314 0.9× 83 0.4× 88 0.8× 237 2.3× 39 0.4× 34 594
Fangwen Yu China 8 185 0.5× 91 0.4× 55 0.5× 85 0.8× 39 0.4× 22 342
Olaf Booij Netherlands 12 132 0.4× 87 0.4× 111 1.0× 294 2.9× 32 0.3× 25 538
Charles De Clercq France 5 366 1.0× 126 0.6× 66 0.6× 67 0.7× 79 0.8× 10 464
F. Gómez-Rodríguez Spain 13 581 1.6× 253 1.2× 96 0.8× 28 0.3× 323 3.3× 28 771
Guillaume Garreau United States 8 506 1.4× 273 1.3× 235 2.0× 38 0.4× 86 0.9× 17 719
Xavier Clady France 10 193 0.5× 85 0.4× 65 0.6× 60 0.6× 35 0.4× 20 439
Youngkwan Cho United States 10 81 0.2× 74 0.3× 26 0.2× 98 1.0× 44 0.4× 14 272
Ahmad Muqeem Sheri South Korea 10 400 1.1× 85 0.4× 78 0.7× 32 0.3× 195 2.0× 19 574

Countries citing papers authored by Jacques Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Kaiser

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Kaiser. A scholar is included among the top collaborators of Jacques Kaiser 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 Jacques Kaiser. Jacques Kaiser 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.
Meier, J., et al.. (2025). MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models. 351–358. 1 indexed citations
2.
Meier, J., et al.. (2025). Shape Your Ground: Refining Road Surfaces Beyond Planar Representations. ArXiv.org. 2136–2142. 1 indexed citations
3.
Meier, J., et al.. (2025). Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset. ArXiv.org. 377–384. 1 indexed citations
4.
Kaiser, Jacques, Hesham Mostafa, & Emre Neftci. (2020). Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE). Frontiers in Neuroscience. 14. 424–424. 179 indexed citations
5.
Tieck, J. Camilo Vasquez, et al.. (2020). A spiking network classifies human sEMG signals and triggers finger reflexes on a robotic hand. Robotics and Autonomous Systems. 131. 103566–103566. 16 indexed citations
6.
Tieck, J. Camilo Vasquez, et al.. (2020). Soft-Grasping With an Anthropomorphic Robotic Hand Using Spiking Neurons. IEEE Robotics and Automation Letters. 6(2). 2894–2901. 15 indexed citations
7.
Tieck, J. Camilo Vasquez, et al.. (2019). Generating Pointing Motions for a Humanoid Robot by Combining Motor Primitives. Frontiers in Neurorobotics. 13. 77–77. 8 indexed citations
8.
Kaiser, Jacques, et al.. (2019). Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms. Frontiers in Neurorobotics. 13. 28–28. 43 indexed citations
9.
Kaiser, Jacques, et al.. (2019). Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision – The Case of Visual Crowding. Frontiers in Neurorobotics. 13. 33–33. 7 indexed citations
10.
Tieck, J. Camilo Vasquez, et al.. (2019). Learning target reaching motions with a robotic arm using brain-inspired dopamine modulated STDP. 54–61. 11 indexed citations
11.
Tieck, J. Camilo Vasquez, et al.. (2019). Combining spiking motor primitives with a behaviour-based architecture to model locomotion for six-legged robots. 4161–4168. 11 indexed citations
12.
Kaiser, Jacques, et al.. (2019). Advanced Usability Through Constrained Multi Modal Interactive Strategies: The CookieBot. 213–219. 2 indexed citations
13.
Tieck, J. Camilo Vasquez, et al.. (2019). Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons. International Journal of Cognitive Informatics and Natural Intelligence. 13(1). 1–12. 8 indexed citations
14.
Kaiser, Jacques, Hesham Mostafa, & Emre Neftci. (2018). Synaptic Plasticity Dynamics for Deep Continuous Local Learning.. arXiv (Cornell University). 10 indexed citations
15.
Tieck, J. Camilo Vasquez, et al.. (2018). Multi-Modal Motion Activation for Robot Control Using Spiking Neurons. 291–298. 9 indexed citations
16.
Kaiser, Jacques, et al.. (2018). Microsaccades for asynchronous feature extraction with spiking networks. 6. 139–146. 2 indexed citations
17.
Kaiser, Jacques, et al.. (2017). Scaling up liquid state machines to predict over address events from dynamic vision sensors. Bioinspiration & Biomimetics. 12(5). 55001–55001. 16 indexed citations
18.
Kaiser, Jacques, et al.. (2017). Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning. 47–53. 1 indexed citations
19.
Kaiser, Jacques, Agostino Martinelli, Flavio Fontana, & Davide Scaramuzza. (2016). Simultaneous State Initialization and Gyroscope Bias Calibration in Visual Inertial Aided Navigation. IEEE Robotics and Automation Letters. 2(1). 18–25. 78 indexed citations
20.
Kaiser, Jacques, et al.. (2002). Vital Advanced Inertial Network. 10 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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