Jacques Kaiser

959 citations
26 papers · 510 · h-index 11

Impact in

Papers in

Jacques Kaiser

24 papers receiving 498 citations

Peers

Jacques Kaiser
Comparison fields: 5 of 47
  • Cognitive Neuroscience 216
  • Electrical and Electronic Engineering 361
  • Geology 34
  • Cellular and Molecular Neuroscience 99
  • Computer Vision and Pattern Recognition 96
Replace Arren Glover with:
Arren Glover Italy
Olaf Booij Netherlands
Youngkwan Cho United States
Fangwen Yu China
Chethan M. Parameshwara United States
Charles De Clercq France
Xavier Clady France
F. Gómez-Rodríguez Spain
Jarosław Zygarlicki Poland
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Citations per field
00.5×3.8×
Arren Glover · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jacques Kaiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Kaiser Line = papers co-authored together Jacques Kaiser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020179
2 201678
3 201645
4 201943
5 201818
6 201716
7 202016
8 202015
9 201812
10 201911
11 201911
12
Synaptic Plasticity Dynamics for Deep Continuous Local Learning.
201810
13 200210
14 20189
15 20198
16 20198
17 20197
18 20204
19 20192
20 20182

About Jacques Kaiser

Jacques Kaiser is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (10 papers), Robot Manipulation and Learning (5 papers), Neural Networks and Reservoir Computing (3 papers), Visual Attention and Saliency Detection (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Cognitive Neuroscience (216 citations), Electrical and Electronic Engineering (361 citations), Geology (34 citations), Cellular and Molecular Neuroscience (99 citations) and Computer Vision and Pattern Recognition (96 citations). Jacques Kaiser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Emre Neftci, Hesham Mostafa, Arne Roennau, Rüdiger Dillmann, J. Camilo Vasquez Tieck, Flavio Fontana, Davide Scaramuzza, Agostino Martinelli, Michael Weber and Konrad Wojtasik. Their work appears in journals such as Frontiers in Neurorobotics, IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, Bioinspiration & Biomimetics and Frontiers in Neuroscience.

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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