Maximilian Ernestus

1.1k citations
3 papers · 755 indexed · 1 hit paper · h-index 3
Topics
Computational Geometry and Mesh Generation (1 paper)Distributed Control Multi-Agent Systems (1 paper)Modular Robots and Swarm Intelligence (1 paper)
Partner nations
GermanySweden

In The Last Decade

Maximilian Ernestus

3 papers receiving 737 citations

Hit Papers

Stable-Baselines3: Reliable Reinforcement Learning Implem...20212026202220242021200400600

Peers

Maximilian Ernestus
Comparison fields: 5 of 94
  • Artificial Intelligence 282
  • Control and Systems Engineering 213
  • Electrical and Electronic Engineering 161
  • Computer Vision and Pattern Recognition 115
  • Computer Networks and Communications 113
Replace Ashley Hill with:
Ashley Hill France
Antonin Raffin Germany
Adam Gleave United Kingdom
Anssi Kanervisto Finland
I. Grondman Netherlands
Gabriel Dulac-Arnold United Kingdom
Sven Gowal United Kingdom
Daniel J. Mankowitz Israel
Yiying Zhang China
Jacopo Panerati Canada
Maximilian Ernestus relative to Ashley Hill France Ashley Hill's profile →
Citations per field
00.5×1.5×
Ashley Hill · 1×
Citations per year

Countries citing papers authored by Maximilian Ernestus

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Ernestus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Ernestus

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Ernestus. A scholar is included among the top collaborators of Maximilian Ernestus 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 Maximilian Ernestus. Maximilian Ernestus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Stable-Baselines3: Reliable Reinforcement Learning Implementationsbreakdown →
739
2 3
3 13

About Maximilian Ernestus

Maximilian Ernestus is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 3 papers that have together received 755 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (1 paper), Distributed Control Multi-Agent Systems (1 paper) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Control and Systems Engineering (213 citations), Artificial Intelligence (282 citations) and Automotive Engineering (93 citations). Maximilian Ernestus has collaborated with scholars based in Germany and Sweden. Frequent co-authors include Adam Gleave, Antonin Raffin, Anssi Kanervisto, Ashley Hill, Michael Hemmer, Sándor P. Fekete, Alexander Kröller, Christiane Schmidt and Mahdi Moeini. Their work appears in journals such as Journal of Machine Learning Research and Journal of Global Optimization.

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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