Jonathan Krauß
Impact in
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- Digital Transformation in Industry
- Industrial Vision Systems and Defect Detection
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
Papers in
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- Flexible and Reconfigurable Manufacturing Systems 6
- Digital Transformation in Industry 4
- Industrial Vision Systems and Defect Detection 2
- Recycling and Waste Management Techniques 1
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- Machine Learning and Data Classification 2
- Co-authors
- Robert Schmitt (8 shared papers)Christian Brecher (2 shared papers)Natasha Neogi (1 shared paper)Nicolas C. Issa (2 shared papers)Michaël Desjardins (2 shared papers)Amy C Sherman (2 shared papers)Guohai Zhou (2 shared papers)Lindsey R. Baden (2 shared papers)
- Journals
- wt Werkstattstechnik online (1 paper)Clinical Infectious Diseases (1 paper)IFAC-PapersOnLine (1 paper)PubMed (1 paper)Computing in cardiology (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Jonathan Krauß
13 papers receiving 123 citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 54
- Statistics, Probability and Uncertainty 9
- Management Information Systems 11
- Safety, Risk, Reliability and Quality 10
- Infectious Diseases 16
Countries citing papers authored by Jonathan Krauß
This map shows the geographic impact of Jonathan Krauß'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 Jonathan Krauß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Krauß more than expected).
Fields of papers citing papers by Jonathan Krauß
This network shows the impact of papers produced by Jonathan Krauß. 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 Jonathan Krauß. The network helps show where Jonathan Krauß may publish in the future.
Co-authors
The 22 scholars most cited alongside Jonathan Krauß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2022 | 21 | |
| 3 | 2021 | 19 | |
| 4 | 2007 | 19 | |
| 5 | 2021 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2019 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 |
About Jonathan Krauß
Jonathan Krauß is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Infectious Diseases, having authored 14 papers that have together received 125 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (6 papers), Digital Transformation in Industry (4 papers), Industrial Vision Systems and Defect Detection (2 papers), Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Recycling and Waste Management Techniques (1 paper), Risk and Safety Analysis (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (54 citations), Statistics, Probability and Uncertainty (9 citations), Management Information Systems (11 citations), Safety, Risk, Reliability and Quality (10 citations) and Infectious Diseases (16 citations). Jonathan Krauß has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Robert Schmitt, Christian Brecher, Natasha Neogi, Nicolas C. Issa, Michaël Desjardins, Amy C Sherman, Guohai Zhou, Lindsey R. Baden, Robert J. Soiffer and Nicole V. Tolan. Their work appears in journals such as wt Werkstattstechnik online, Clinical Infectious Diseases, IFAC-PapersOnLine, PubMed and Computing in cardiology.
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.