M. Kaiser
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Fuzzy Logic and Control Systems
- AI-based Problem Solving and Planning
- Neural Networks and Applications
Papers in
-
- Fuzzy Logic and Control Systems 5
- Evolutionary Algorithms and Applications 4
- Reinforcement Learning in Robotics 4
- Neural Networks and Applications 4
-
- Particle accelerators and beam dynamics 10
- Co-authors
- R. Dillmann (4 shared papers)Marnix Nuttin (4 shared papers)Attilio Giordana (4 shared papers)Cristina Baroglio (2 shared papers)Frank Wallner (5 shared papers)Rüdiger Dillmann (3 shared papers)L. Groening (6 shared papers)L. Dahl (9 shared papers)
In The Last Decade
M. Kaiser
29 papers receiving 270 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 157
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 69
- Aerospace Engineering 76
- Nuclear and High Energy Physics 34
Countries citing papers authored by M. Kaiser
This map shows the geographic impact of M. 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 M. Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kaiser more than expected).
Fields of papers citing papers by M. Kaiser
This network shows the impact of papers produced by M. 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 M. Kaiser. The network helps show where M. Kaiser may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kaiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 95 | |
| 2 | 1996 | 38 | |
| 3 | 2009 | 34 | |
| 4 | 1995 | 25 | |
| 5 | 1996 | 22 | |
| 6 | 1994 | 20 | |
| 7 | 2009 | 17 | |
| 8 | 1996 | 7 | |
| 9 | 1994 | 7 | |
| 10 | 2002 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2002 | 5 | |
| 13 | THE HITRAP DECELERATOR PROJECT AT GSI | 2006 | 5 |
| 14 | Robot-learning - Three case studies in robotics and machine learning | 1994 | 4 |
| 15 | 1995 | 3 | |
| 16 | UNILAC status and developments | 2002 | 3 |
| 17 | Commissioning of the New GSI-Charge State Separator System for High Current Heavy Ion Beams | 2008 | 3 |
| 18 | 2021 | 2 | |
| 19 | 1995 | 2 | |
| 20 | 2002 | 2 |
About M. Kaiser
M. Kaiser is a scholar working on Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 317 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (10 papers), Fuzzy Logic and Control Systems (5 papers), Particle Accelerators and Free-Electron Lasers (5 papers), Robotic Path Planning Algorithms (4 papers), Evolutionary Algorithms and Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Neural Networks and Applications (4 papers) and Magnetic confinement fusion research (4 papers). The work is most often cited by research in Control and Systems Engineering (157 citations), Artificial Intelligence (120 citations), Computer Vision and Pattern Recognition (69 citations), Aerospace Engineering (76 citations) and Nuclear and High Energy Physics (34 citations). M. Kaiser has collaborated with scholars based in Germany, Italy and Belgium. Frequent co-authors include R. Dillmann, Marnix Nuttin, Attilio Giordana, Cristina Baroglio, Frank Wallner, Rüdiger Dillmann, L. Groening, L. Dahl, W. Barth and Sascha Mickat. Their work appears in journals such as Physical Review Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Review of Scientific Instruments, Ocean Engineering and Machine Learning.
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.