Andreas Kyek

1.5k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Andreas Kyek is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Andreas Kyek has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 5 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Andreas Kyek's work include Industrial Vision Systems and Defect Detection (9 papers), Scheduling and Optimization Algorithms (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Andreas Kyek is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Scheduling and Optimization Algorithms (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Andreas Kyek collaborates with scholars based in Germany, Italy and United Kingdom. Andreas Kyek's co-authors include U. Schwertmann, F. Wagner, L. Carlson, Jerry M. Bigham, Thomas Altenmüller, Bernd Waschneck, Thomas Bauernhansl, Lenz Belzner, Alexander Knapp and André Reichstaller and has published in prestigious journals such as Environmental Science & Technology, Langmuir and Journal of Catalysis.

In The Last Decade

Andreas Kyek

21 papers receiving 1.1k 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
Andreas Kyek Germany	11	440	371	268	147	136	21	1.2k
Helen H. Lou United States	24	110 0.3×	154 0.4×	278 1.0×	268 1.8×	69 0.5×	80	1.9k
Ju-Yong Kim South Korea	24	377 0.9×	47 0.1×	186 0.7×	171 1.2×	75 0.6×	126	1.8k
Jui‐Yuan Lee Taiwan	24	162 0.4×	136 0.4×	157 0.6×	426 2.9×	45 0.3×	84	2.0k
Soo‐Hong Min South Korea	18	189 0.4×	157 0.4×	100 0.4×	387 2.6×	21 0.2×	35	1.5k
Zhimin Lv China	18	68 0.2×	38 0.1×	287 1.1×	184 1.3×	89 0.7×	65	1.5k
Shengbin Wang China	20	40 0.1×	100 0.3×	38 0.1×	68 0.5×	224 1.6×	66	1.4k
Chenghong Wang China	15	261 0.6×	17 0.0×	202 0.8×	266 1.8×	57 0.4×	40	2.3k
Edelmira D. Gálvez Chile	21	131 0.3×	40 0.1×	58 0.2×	461 3.1×	29 0.2×	95	1.3k
Zhihong Liang China	16	146 0.3×	47 0.1×	67 0.3×	49 0.3×	11 0.1×	45	816

Countries citing papers authored by Andreas Kyek

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Kyek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kyek

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

All Works

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20 of 20 papers shown

Kyek, Andreas, et al.. (2021). DBAM: Making Virtual Metrology/Soft sensing with time series data scalable through Deep Learning. Control Engineering Practice. 116. 104914–104914. 8 indexed citations

Arena, Simone, et al.. (2021). Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images. IEEE Transactions on Semiconductor Manufacturing. 34(3). 436–439. 6 indexed citations

Susto, Gian Antonio, et al.. (2021). A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. Research Padua Archive (University of Padua). 1–12. 2 indexed citations

Kyek, Andreas, et al.. (2020). Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. Research Padua Archive (University of Padua). 1898–1909. 3 indexed citations

Beghi, Alessandro, et al.. (2020). Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. Research Padua Archive (University of Padua). 1875–1885. 4 indexed citations

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

Waschneck, Bernd, Thomas Altenmüller, Thomas Bauernhansl, & Andreas Kyek. (2018). Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 649–652. 1 indexed citations

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 →

Waschneck, Bernd, Thomas Bauernhansl, Thomas Altenmüller, & Andreas Kyek. (2017). Production Scheduling in Complex Job Shops from an Industrie 4.0 Perspective: A Review and Challenges in the Semiconductor Industry. Zenodo (CERN European Organization for Nuclear Research). 29 indexed citations

10.

Purwins, H.‐G., et al.. (2013). Regression Methods for Virtual Metrology of Layer Thickness in Chemical Vapor Deposition. IEEE/ASME Transactions on Mechatronics. 19(1). 1–8. 54 indexed citations

11.

Mattes, Andreas, et al.. (2012). Framework for integration of virtual metrology and predictive maintenance. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 288–293. 5 indexed citations

12.

Purwins, H.‐G., et al.. (2011). Regression methods for prediction of PECVD Silicon Nitride layer thickness. 387–392. 16 indexed citations

13.

Wagner, F. E. & Andreas Kyek. (2004). Mössbauer Spectroscopy in Archaeology: Introduction and Experimental Considerations. Hyperfine Interactions. 154(1-4). 5–33. 23 indexed citations

14.

Carlson, L., Jerry M. Bigham, U. Schwertmann, Andreas Kyek, & F. Wagner. (2002). Scavenging of As from Acid Mine Drainage by Schwertmannite and Ferrihydrite: A Comparison with Synthetic Analogues. Environmental Science & Technology. 36(8). 1712–1719. 367 indexed citations

15.

Campbell, A. S., et al.. (2002). Si Incorporation into Hematite by Heating Si−Ferrihydrite. Langmuir. 18(21). 7804–7809. 56 indexed citations

16.

Jansen, E., et al.. (2002). The structure of six-line ferrihydrite. Applied Physics A. 74(0). s1004–s1006. 92 indexed citations

17.

Lee, Seung‐Jae, Asterios Gavriilidis, Quentin A. Pankhurst, et al.. (2001). Effect of Drying Conditions of Au–Mn Co-Precipitates for Low-Temperature CO Oxidation. Journal of Catalysis. 200(2). 298–308. 95 indexed citations

18.

Kyek, Andreas. (2000). Non-Destructive Mössbauer Spectroscopy in Archaeometallurgy. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations

19.

Kyek, Andreas, Fritz Wagner, P. Palade, et al.. (2000). 197Au and 57 Fe Mössbauer study of Au-substituted Al–Cu–Fe quasi-crystalline alloys. Journal of Alloys and Compounds. 313(1-2). 13–20. 4 indexed citations

20.

Kyek, Andreas, et al.. (2000). Celtic gold coins in the light of Mössbauer spectroscopy, electron microprobe analysis and X-ray diffraction. Hyperfine Interactions. 126(1-4). 235–240. 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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