Simon Mak

About

Simon Mak is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Computational Mechanics. According to data from OpenAlex, Simon Mak has authored 27 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Computational Mechanics. Recurrent topics in Simon Mak’s work include Probabilistic and Robust Engineering Design (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Simon Mak is often cited by papers focused on Probabilistic and Robust Engineering Design (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Simon Mak collaborates with scholars based in United States, Hong Kong and China. Simon Mak's co-authors include V. Roshan Joseph, Xingjian Wang, C. F. Jeff Wu, Vigor Yang, Chuck Zhang, Jialei Chen, Changbao Wu, Jared D. Huling, D. V. Cormack and Liwei Zhang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Radiology.

In The Last Decade

Co-authorship network of co-authors of Simon Mak i

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Fields of papers citing papers by Simon Mak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Simon Mak

Since Specialization

Citations

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