Jonathan Krauß

409 citations
14 papers · 117 · h-index 6

Impact in

Papers in

Jonathan Krauß

13 papers receiving 114 citations

Peers

Jonathan Krauß
Comparison fields: 5 of 59
  • Industrial and Manufacturing Engineering 49
  • Statistics, Probability and Uncertainty 9
  • Management Information Systems 11
  • Safety, Risk, Reliability and Quality 10
  • Infectious Diseases 18
Replace Jiaming Cui with:
Jiaming Cui China
Shane N. Hall United States
Sathyan Munirathinam India
Denis Özdemir Germany
Carlos Kavka Italy
Tracy Wotherspoon United Kingdom
Saad M. Saad Libya
Evgeniy Lavrov Ukraine
Celia Gutiérrez Spain
M. Bartelt Germany
Jonathan Krauß relative to Jiaming Cui China Jiaming Cui's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Krauß

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan Krauß Line = papers co-authored together Jonathan Krauß links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202037
2 202119
3 200719
4 202218
5 20218
6 20225
7 20194
8 20212
9 20231
10 20251
11 20231
12 20221
13 20231
14 20230

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 117 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), Nuclear and radioactivity studies (1 paper), Recycling and Waste Management Techniques (1 paper) and Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (49 citations), Statistics, Probability and Uncertainty (9 citations), Management Information Systems (11 citations), Safety, Risk, Reliability and Quality (10 citations) and Infectious Diseases (18 citations). Jonathan Krauß has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Robert Schmitt, Natasha Neogi, Christian Brecher, Michaël Desjardins, Lindsey R. Baden, Nicolas C. Issa, Amy C Sherman, Guohai Zhou, David R. Walt and Chi‐An Cheng. Their work appears in journals such as Clinical Infectious Diseases, wt Werkstattstechnik online, IFAC-PapersOnLine, SHILAP Revista de lepidopterología 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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