Shapour Azarm

4.4k total citations
193 papers, 3.3k citations indexed

About

Shapour Azarm is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Shapour Azarm has authored 193 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computational Theory and Mathematics, 71 papers in Statistics, Probability and Uncertainty and 60 papers in Management Science and Operations Research. Recurrent topics in Shapour Azarm's work include Advanced Multi-Objective Optimization Algorithms (87 papers), Probabilistic and Robust Engineering Design (66 papers) and Optimal Experimental Design Methods (40 papers). Shapour Azarm is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (87 papers), Probabilistic and Robust Engineering Design (66 papers) and Optimal Experimental Design Methods (40 papers). Shapour Azarm collaborates with scholars based in United States, China and Chile. Shapour Azarm's co-authors include Jin Wu, M. Li, Vikrant Aute, P.K. Kannan, Mian Li, Heng Li, Reinhard Radermacher, Steven A. Gabriel, Jeffrey W. Herrmann and Khaled Saleh and has published in prestigious journals such as Management Science, Automatica and European Journal of Operational Research.

In The Last Decade

Shapour Azarm

185 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shapour Azarm United States 32 1.7k 1.1k 955 612 465 193 3.3k
Michael Kokkolaras United States 28 690 0.4× 625 0.6× 283 0.3× 606 1.0× 173 0.4× 155 2.4k
Indraneel Das United States 10 1.9k 1.2× 504 0.5× 598 0.6× 338 0.6× 1.1k 2.3× 18 3.4k
Hong‐Zhong Huang China 48 698 0.4× 3.1k 2.9× 654 0.7× 2.0k 3.3× 378 0.8× 348 7.8k
Christopher A. Mattson United States 21 542 0.3× 220 0.2× 264 0.3× 498 0.8× 158 0.3× 150 1.9k
Christiaan J. J. Paredis United States 32 388 0.2× 248 0.2× 501 0.5× 920 1.5× 440 0.9× 171 3.3k
Margaret M. Wiecek United States 23 1.1k 0.7× 388 0.4× 559 0.6× 129 0.2× 195 0.4× 104 2.0k
Yan‐Feng Li China 41 350 0.2× 2.2k 2.0× 360 0.4× 1.2k 2.0× 247 0.5× 198 5.5k
Hong‐Zhong Huang China 31 292 0.2× 1.6k 1.5× 234 0.2× 598 1.0× 114 0.2× 151 3.4k
Runwei Cheng Japan 18 703 0.4× 167 0.2× 657 0.7× 435 0.7× 1.2k 2.7× 31 6.1k
Theodore T. Allen United States 21 680 0.4× 407 0.4× 627 0.7× 192 0.3× 312 0.7× 94 1.9k

Countries citing papers authored by Shapour Azarm

Since Specialization
Citations

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

Fields of papers citing papers by Shapour Azarm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shapour Azarm

This figure shows the co-authorship network connecting the top 25 collaborators of Shapour Azarm. A scholar is included among the top collaborators of Shapour Azarm 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 Shapour Azarm. Shapour Azarm 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
1.
Groth, Katrina M., et al.. (2025). Probabilistic Deep Learning With Bayesian Networks for Predicting Complex Engineering Systems' Remaining Useful Life: A Case Study of Unmanned Surface Vessel. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 11(4).
2.
Groth, Katrina M., et al.. (2024). Cost-Benefit Analysis using Modular Dynamic Fault Tree Analysis and Monte Carlo Simulations for Condition-based Maintenance of Unmanned Systems. International Journal of Prognostics and Health Management. 15(2). 4 indexed citations
3.
4.
Azarm, Shapour, et al.. (2024). Cost analysis and site selection for reclaimed water injection to enhance coastal aquifer sustainability. Journal of Water Process Engineering. 68. 106551–106551. 1 indexed citations
5.
6.
Leekha, Surbhi, et al.. (2021). Optimization in the Context of COVID-19 Prediction and Control: A Literature Review. IEEE Access. 9. 130072–130093. 30 indexed citations
7.
Droguett, Enrique López, et al.. (2019). Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion. Structural Health Monitoring. 19(5). 1542–1559. 30 indexed citations
8.
Wang, Zhichao, Shapour Azarm, & P.K. Kannan. (2014). Design for Upstream and Downstream Market Systems With Interoperability Considerations. 1 indexed citations
9.
Saleh, Khaled, Vikrant Aute, Reinhard Radermacher, & Shapour Azarm. (2012). Plate Heat Exchanger Optimization Using Different Approximation Assisted Multiobjective Optimization Techniques. Purdue e-Pubs (Purdue University System). 6 indexed citations
10.
Azarm, Shapour, et al.. (2010). Multicategory Design of Bundled Products for Retail Channels Under Uncertainty and Competition. Journal of Mechanical Design. 132(3). 8 indexed citations
11.
Azarm, Shapour, et al.. (2007). Strategic Design of Bundled Products Considering Retail Channel Structure. Guidelines for a Decision Support Method Adapted to NPD Processes. 1 indexed citations
12.
Li, Mian, et al.. (2006). A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization. 405–414. 2 indexed citations
13.
Azarm, Shapour, et al.. (2003). Minimal Sets of Quality Metrics. 2 indexed citations
14.
Azarm, Shapour, et al.. (2002). Interactive Product Design Selection With an Implicit Value Function. 411–420. 1 indexed citations
15.
Azarm, Shapour, et al.. (2001). Multi-Objective Genetic Algoirthms with concepts from statistical thermodynamics. Genetic and Evolutionary Computation Conference. 1075–1075. 1 indexed citations
16.
Wu, Jin & Shapour Azarm. (2001). On a new constraint handling technique for Multi-Objective Genetic Algorithms. Genetic and Evolutionary Computation Conference. 741–748. 1 indexed citations
17.
Magrab, Edward B., et al.. (2000). An Engineer's Guide to Matlab. Medical Entomology and Zoology. 32 indexed citations
18.
Azarm, Shapour & H. Eschenauer. (1993). A minimax reduction method for multi-objective decomposition-based design optimization. Structural and Multidisciplinary Optimization. 6(2). 94–98. 3 indexed citations
19.
Azarm, Shapour, et al.. (1989). Multi-Level Design Optimization Using Global Monotonicity Analysis. Journal of Mechanisms Transmissions and Automation in Design. 111(2). 259–263. 41 indexed citations
20.
Azarm, Shapour. (1984). Local Monotonicity in Optimal Design.. Deep Blue (University of Michigan). 5 indexed citations

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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2026