André Reichstaller

520 citations
8 papers · 366 indexed · 1 hit paper · h-index 4
Topics
Software Testing and Debugging Techniques (4 papers)Reinforcement Learning in Robotics (4 papers)Scheduling and Optimization Algorithms (2 papers)
Journals
OPUS (Augsburg University)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Procedia CIRP
Partner nations
Germany

In The Last Decade

André Reichstaller

7 papers receiving 352 citations

Hit Papers

Optimization of global production scheduling with deep re...2018202620202023201850100150200250

Peers

André Reichstaller
Comparison fields: 5 of 51
  • Industrial and Manufacturing Engineering 282
  • Control and Systems Engineering 65
  • Artificial Intelligence 64
  • Computer Networks and Communications 42
  • Management Information Systems 28
Replace Yassine Qamsane with:
Yassine Qamsane United States
Bernd Waschneck Germany
Mario Hoernicke Germany
Lorenz Hundt Germany
Jing Zou United States
Régis Plateaux France
Miguel Saez United States
John L. Michaloski United States
Thérèse Bonte France
Petr Kadera Czechia
André Reichstaller relative to Yassine Qamsane United States Yassine Qamsane's profile →
Citations per field
00.5×
Yassine Qamsane · 1×
Citations per year

Countries citing papers authored by André Reichstaller

Since Specialization
Citations

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

Fields of papers citing papers by André Reichstaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Reichstaller

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Adaptive tests for adaptive systems: the need for new concepts in testing for future software systems
0
2 84
3 7
4 4
5
Optimization of global production scheduling with deep reinforcement learningbreakdown →
264
6 2
7 3
8 2

About André Reichstaller

André Reichstaller is a scholar working on Software, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 8 papers that have together received 366 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (4 papers), Reinforcement Learning in Robotics (4 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (282 citations), Software (13 citations) and Management Information Systems (28 citations). André Reichstaller has collaborated with scholars based in Germany. Frequent co-authors include Alexander Knapp, Lenz Belzner, Thomas Altenmüller, Bernd Waschneck, Andreas Kyek, Thomas Bauernhansl, Wolfgang Reif and Hella Seebach. Their work appears in journals such as OPUS (Augsburg University), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Procedia CIRP.

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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