Lenz Belzner

1.1k citations
29 papers · 620 indexed · 1 hit paper · h-index 7

Lenz Belzner

25 papers receiving 596 citations

Hit Papers

Optimization of global production scheduling with deep re...264201820262020202350100150200250

Peers

Lenz Belzner
Comparison fields: 5 of 74
  • Industrial and Manufacturing Engineering 444
  • Management Information Systems 37
  • Safety, Risk, Reliability and Quality 37
  • Control and Systems Engineering 89
  • Artificial Intelligence 112
Replace Bernd Waschneck with:
Bernd Waschneck Germany
Matthieu Bricogne France
Velusamy Subramaniam Singapore
Jiapeng Yu China
Jihui Zhang China
William Davis United Kingdom
Marc Priggemeyer Germany
Appa Iyer Sivakumar Singapore
Judith Michael Germany
Minghai Yuan China
Lenz Belzner relative to Bernd Waschneck Germany Bernd Waschneck's profile →
Citations per field
00.5×1.5×2.5×
Bernd Waschneck · 1×
Citations per year

Countries citing papers authored by Lenz Belzner

Since Specialization
Citations

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

Fields of papers citing papers by Lenz Belzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202210
4
VAST: Value Function Factorization with Variable Agent Sub-Teams
20215
5 202112
6 20212
7 20212
8 20201
9 202012
10 20191
11 20191
12 20191
13 20194
14 20183
15 201884
16
Optimization of global production scheduling with deep reinforcement learningbreakdown →
2018264
17 20172
18 2016186
19 20163
20
Action Programming In Rewriting Logic.
20131

About Lenz Belzner

Lenz Belzner is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 29 papers that have together received 620 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Evolutionary Algorithms and Applications (3 papers), Computability, Logic, AI Algorithms (3 papers), Machine Learning and Algorithms (2 papers), Allergic Rhinitis and Sensitization (2 papers), Distributed Control Multi-Agent Systems (2 papers), Embedded Systems Design Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (444 citations), Management Information Systems (37 citations) and Safety, Risk, Reliability and Quality (37 citations). Lenz Belzner has collaborated with scholars based in Germany, Romania and Spain. Frequent co-authors include Thomas Altenmüller, Bernd Waschneck, Andreas Kyek, Alexander Knapp, André Reichstaller, Thomas Bauernhansl, Thomas Gabor, Michael Till Beck, Alexander Neitz and Thomy Phan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Autonomous Agents and Multi-Agent Systems.

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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