Philipp Limbourg

17 papers receiving 472 citations

Peers

Philipp Limbourg
Comparison fields: 5 of 80
  • Statistics, Probability and Uncertainty 215
  • Computational Theory and Mathematics 177
  • Software 36
  • Safety, Risk, Reliability and Quality 69
  • Management Science and Operations Research 69
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Hong-Zhong Huang China
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Citations per year

Countries citing papers authored by Philipp Limbourg

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Limbourg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Philipp Limbourg, 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 Philipp Limbourg Line = papers co-authored together Philipp Limbourg links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Uncertainty in Industrial Practice - A Guide to Quantitative Uncertainty Management
2008135
2 200581
3 200564
4 200458
5 201057
6 200728
7 200819
8 200815
9 201012
10 200611
11 20088
12 20067
13
Reliability Prediction in Systems with Correlated Component Failures ü An Approach Using Copulas
20074
14 20082
15 20081
16 20091
17 20071

About Philipp Limbourg

Philipp Limbourg is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Software, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 17 papers that have together received 504 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (7 papers), Risk and Safety Analysis (5 papers), Software Reliability and Analysis Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Reliability and Maintenance Optimization (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Heat Transfer and Optimization (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (215 citations), Computational Theory and Mathematics (177 citations), Software (36 citations), Safety, Risk, Reliability and Quality (69 citations) and Management Science and Operations Research (69 citations). Philipp Limbourg has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Étienne de Rocquigny, Hans-Dieter Kochs, Thomas Bartz–Beielstein, Michael N. Vrahatis, Konstantinos E. Parsopoulos, Stefano Tarantola, Nicolas Devictor, Daniel Hoffmann, Tim Hohm and Radojka M. Savić. Their work appears in journals such as Reliability Engineering & System Safety, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, International Journal of Pressure Vessels and Piping, Journal of Computational Biology and Lecture notes in computer science.

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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