M. Kaiser

2.3k citations
26 papers · 250 · h-index 7

Impact in

Papers in

    • Particle accelerators and beam dynamics 10
    • Fuzzy Logic and Control Systems 4
    • Machine Learning and Algorithms 3
    • AI-based Problem Solving and Planning 3
    • Neural Networks and Applications 3

M. Kaiser

24 papers receiving 212 citations

Peers

M. Kaiser
Comparison fields: 5 of 43
  • Control and Systems Engineering 118
  • Aerospace Engineering 70
  • Human-Computer Interaction 14
  • Computer Vision and Pattern Recognition 52
  • Nuclear and High Energy Physics 33
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Danilo Bruno Italy
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Günyaz Ablay Türkiye
S. Maekawa Japan
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Vincent Heiries France
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Citations per field
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Citations per year

Countries citing papers authored by M. Kaiser

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M. Kaiser Line = papers co-authored together M. 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 200291
2 200934
3 199522
4 199419
5 199618
6 200916
7 20027
8 20255
9 19945
10 20025
11
THE HITRAP DECELERATOR PROJECT AT GSI
20065
12
Robot-learning - Three case studies in robotics and machine learning
19943
13
UNILAC status and developments
20023
14
Commissioning of the New GSI-Charge State Separator System for High Current Heavy Ion Beams
20083
15 20212
16 20022
17
DECELERATION OF HIGHLY CHARGED IONS FOR THE HITRAP PROJECT AT GSI
20062
18
Wind SWE observations of proton double streaming and correlations with wave activity
20011
19 20251
20 20041

About M. Kaiser

M. Kaiser is a scholar working on Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Control and Systems Engineering, having authored 26 papers that have together received 250 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (10 papers), Particle Accelerators and Free-Electron Lasers (5 papers), Fuzzy Logic and Control Systems (4 papers), Magnetic confinement fusion research (4 papers), Robotic Path Planning Algorithms (3 papers), Machine Learning and Algorithms (3 papers), AI-based Problem Solving and Planning (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (118 citations), Aerospace Engineering (70 citations), Human-Computer Interaction (14 citations), Computer Vision and Pattern Recognition (52 citations) and Nuclear and High Energy Physics (33 citations). M. Kaiser has collaborated with scholars based in Germany, Italy and Belgium. Frequent co-authors include R. Dillmann, Attilio Giordana, Frank Wallner, Marnix Nuttin, L. Dahl, W. Barth, L. Groening, Peter Gerhard, Sascha Mickat and Cristina Baroglio. 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, Applied Ocean Research and Ocean Engineering.

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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