Shapour Azarm

132 papers and 2.5k indexed citations i.

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 132 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computational Theory and Mathematics, 56 papers in Statistics, Probability and Uncertainty and 45 papers in Management Science and Operations Research. Recurrent topics in Shapour Azarm’s work include Advanced Multi-Objective Optimization Algorithms (64 papers), Probabilistic and Robust Engineering Design (54 papers) and Optimal Experimental Design Methods (30 papers). Shapour Azarm is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (64 papers), Probabilistic and Robust Engineering Design (54 papers) and Optimal Experimental Design Methods (30 papers). Shapour Azarm collaborates with scholars based in United States, China and Germany. Shapour Azarm's co-authors include Jin Wu, M. Li, Vikrant Aute, P.K. Kannan, Heng Li, Mian Li, Steven A. Gabriel, Reinhard Radermacher, Omar Abdelaziz and Lan Luo and has published in prestigious journals such as Management Science, Automatica and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Shapour Azarm i

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.

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).

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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