Andreas Schwung

1.3k total citations
113 papers, 789 citations indexed

About

Andreas Schwung is a scholar working on Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Andreas Schwung has authored 113 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 59 papers in Control and Systems Engineering and 21 papers in Industrial and Manufacturing Engineering. Recurrent topics in Andreas Schwung's work include Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (18 papers) and Reinforcement Learning in Robotics (17 papers). Andreas Schwung is often cited by papers focused on Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (18 papers) and Reinforcement Learning in Robotics (17 papers). Andreas Schwung collaborates with scholars based in Germany, Netherlands and Taiwan. Andreas Schwung's co-authors include Gavneet Singh Chadha, Steven X. Ding, Jürgen Adamy, Ulf Witkowski, Jan Reimann, Martin Mönnigmann, Michael Jost, Tin A. Nguyen, Stefan Lier and Rainer Nordmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Andreas Schwung

104 papers receiving 765 citations

Peers

Andreas Schwung
Comparison fields: 5 of 79
  • Control and Systems Engineering 379
  • Artificial Intelligence 285
  • Industrial and Manufacturing Engineering 150
  • Mechanical Engineering 135
  • Electrical and Electronic Engineering 80
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Citations per field, relative to Andreas Schwung
Andreas Schwung · 1×
Citations per year, relative to Andreas Schwung
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Countries citing papers authored by Andreas Schwung

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schwung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schwung

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 0
5 0
6 4
7 1
8 1
9 1
10 0
11 1
12 6
13 3
14 11
15 1
16 18
17 4
18 77
19
Modellbildung und Fehlerdiagnose mit rekurrenten Fuzzy-Systemen
2
20
Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems).
1

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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