Paul D. Arendt
- Statistics, Probability and Uncertainty top 0.5%
- Computational Theory and Mathematics top 2%
- Management Science and Operations Research top 5%
- Civil and Structural Engineering top 10%
- Artificial Intelligence
- Co-authors
- Wei ChenDaniel W. ApleyHong-Zhong HuangYu LiuDavid GorsichDavid LambSiliang ZhangPing Zhu
- Topics
- Advanced Multi-Objective Optimization Algorithms (10 papers)Probabilistic and Robust Engineering Design (9 papers)Simulation Techniques and Applications (5 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Structural and Multidisciplinary OptimizationJournal of Mechanical DesignIIE Transactions
- Partner nations
- United StatesChina
In The Last Decade
Paul D. Arendt
12 papers receiving 629 citations
Peers
Comparison fields: 5 of 69
- Statistics, Probability and Uncertainty 433
- Computational Theory and Mathematics 299
- Management Science and Operations Research 176
- Civil and Structural Engineering 136
- Artificial Intelligence 69
Countries citing papers authored by Paul D. Arendt
This map shows the geographic impact of Paul D. Arendt'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 Paul D. Arendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Arendt more than expected).
Fields of papers citing papers by Paul D. Arendt
This network shows the impact of papers produced by Paul D. Arendt. 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 Paul D. Arendt. The network helps show where Paul D. Arendt may publish in the future.
Co-authorship network of co-authors of Paul D. Arendt
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Arendt. A scholar is included among the top collaborators of Paul D. Arendt 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 Paul D. Arendt. Paul D. Arendt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 30 | |
| 3 | 241 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 107 | |
| 7 | 63 | |
| 8 | Multiple Responses and Design of Experiments for Improving Identifiability in Model Calibration | 1 |
| 9 | 4 | |
| 10 | 128 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 5 |
About Paul D. Arendt
Paul D. Arendt is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 13 papers that have together received 638 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (10 papers), Probabilistic and Robust Engineering Design (9 papers) and Simulation Techniques and Applications (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (433 citations), Computational Theory and Mathematics (299 citations) and Management Science and Operations Research (176 citations). Paul D. Arendt has collaborated with scholars based in United States and China. Frequent co-authors include Wei Chen, Daniel W. Apley, Hong-Zhong Huang, Yu Liu, David Gorsich, David Lamb, Siliang Zhang, Ping Zhu, Wei Chen and Xiaolei Yin. Their work appears in journals such as Structural and Multidisciplinary Optimization, Journal of Mechanical Design and IIE Transactions.
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.