Mathias Bürger

1.7k citations
54 papers · 1.0k indexed · h-index 16

Mathias Bürger

53 papers receiving 1.0k citations

Peers

Mathias Bürger
Comparison fields: 5 of 60
  • Control and Systems Engineering 525
  • Computer Networks and Communications 492
  • Computational Theory and Mathematics 143
  • Software 21
  • Computer Vision and Pattern Recognition 97
Replace Slobodan N. Simić with:
Slobodan N. Simić United States
Takashi Tanaka United States
Xiaobo Li China
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Silvano Balemi Switzerland
Adolfo Anta Austria
Walter Schaufelberger Switzerland
Andrew Clark United States
Mouquan Shen China
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Citations per year

Countries citing papers authored by Mathias Bürger

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Bürger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mathias Bürger, 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 Mathias Bürger Line = papers co-authored together Mathias Bürger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20222
3 20218
4 202115
5
Hierarchical LTL-Task MDPs for Multi-Agent Coordination through Auctioning and Learning
201910
6
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
20194
7
Predictive Safety Network for Resource-constrained Multi-agent Systems
20191
8
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
20192
9 20183
10 201811
11 20161
12 20152
13
An internal model approach to (optimal) frequency regulation in power grids
201418
14 20123
15 20122
16 20117
17 201111
18 20112
19 201083
20 20084

About Mathias Bürger

Mathias Bürger is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Software and Statistical and Nonlinear Physics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (17 papers), Advanced Control Systems Optimization (10 papers), Adaptive Control of Nonlinear Systems (8 papers), Neural Networks Stability and Synchronization (7 papers), Reinforcement Learning in Robotics (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Fault Detection and Control Systems (5 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Control and Systems Engineering (525 citations), Computer Networks and Communications (492 citations), Computational Theory and Mathematics (143 citations), Software (21 citations) and Computer Vision and Pattern Recognition (97 citations). Mathias Bürger has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Frank Allgöwer, Claudio De Persis, Daniel Zelazo, Sebastian Trip, Martin Guay, Philipp Schillinger, Dimos V. Dimarogonas, Giuseppe Notarstefano, Jan Maximilian Montenbruck and Francesco Bullo. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, The International Journal of Robotics Research, IEEE Transactions on Control of Network Systems and IEEE Transactions on Robotics.

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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