André Reichstaller

520 total citations · 1 hit paper
8 papers, 366 citations indexed

About

André Reichstaller is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, André Reichstaller has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Software and 2 papers in Information Systems. Recurrent topics in André Reichstaller's work include Software Testing and Debugging Techniques (4 papers), Reinforcement Learning in Robotics (4 papers) and Scheduling and Optimization Algorithms (2 papers). André Reichstaller is often cited by papers focused on Software Testing and Debugging Techniques (4 papers), Reinforcement Learning in Robotics (4 papers) and Scheduling and Optimization Algorithms (2 papers). André Reichstaller collaborates with scholars based in Germany. André Reichstaller's co-authors include Alexander Knapp, Lenz Belzner, Thomas Altenmüller, Bernd Waschneck, Andreas Kyek, Thomas Bauernhansl, Wolfgang Reif and Hella Seebach and has published in prestigious journals such as OPUS (Augsburg University), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Procedia CIRP.

In The Last Decade

André Reichstaller

7 papers receiving 352 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimization of global production scheduling with deep reinforcement learning

2018 264 citations Bernd Waschneck, André Reichstaller et al. Procedia CIRP profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
André Reichstaller Germany	4	282	65	64	42	28	8	366
Bernd Waschneck Germany	6	388 1.4×	93 1.4×	71 1.1×	43 1.0×	41 1.5×	16	514
Yassine Qamsane United States	9	304 1.1×	66 1.0×	29 0.5×	37 0.9×	28 1.0×	17	411
Miguel Saez United States	9	150 0.5×	62 1.0×	46 0.7×	41 1.0×	18 0.6×	13	292
Mario Hoernicke Germany	12	250 0.9×	115 1.8×	44 0.7×	18 0.4×	66 2.4×	46	383
Petr Kadera Czechia	10	234 0.8×	55 0.8×	49 0.8×	48 1.1×	41 1.5×	35	326
John L. Michaloski United States	10	180 0.6×	44 0.7×	30 0.5×	20 0.5×	19 0.7×	50	281
Lorenz Hundt Germany	8	312 1.1×	44 0.7×	49 0.8×	19 0.5×	35 1.3×	14	358
Fan Mo United Kingdom	11	179 0.6×	35 0.5×	32 0.5×	18 0.4×	21 0.8×	23	279
Thérèse Bonte France	8	267 0.9×	42 0.6×	19 0.3×	24 0.6×	23 0.8×	13	338
Jing Zou United States	10	206 0.7×	64 1.0×	21 0.3×	15 0.4×	32 1.1×	30	354

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

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8 of 8 papers shown

1.

Seebach, Hella, et al.. (2019). Adaptive tests for adaptive systems: the need for new concepts in testing for future software systems. OPUS (Augsburg University).

2.

Waschneck, Bernd, André Reichstaller, Lenz Belzner, et al.. (2018). Deep reinforcement learning for semiconductor production scheduling. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 301–306. 84 indexed citations

3.

Reichstaller, André & Alexander Knapp. (2018). Risk-Based Testing of Self-Adaptive Systems Using Run-Time Predictions. 3472. 80–89. 7 indexed citations

4.

Reichstaller, André, et al.. (2018). Test suite reduction for self-organizing systems. 64–70. 4 indexed citations

5.

Waschneck, Bernd, André Reichstaller, Lenz Belzner, et al.. (2018). Optimization of global production scheduling with deep reinforcement learning. Procedia CIRP. 72. 1264–1269. 264 indexed citations breakdown →

6.

Reichstaller, André & Alexander Knapp. (2017). Transferring Context-Dependent Test Inputs. 10. 65–72. 2 indexed citations

7.

Reichstaller, André & Alexander Knapp. (2017). Compressing Uniform Test Suites Using Variational Autoencoders. 32. 435–440. 3 indexed citations

8.

Reichstaller, André & Alexander Knapp. (2016). Hunting the game - Towards a game of testing adaptive systems. 27. 303–304. 2 indexed citations

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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