Simon Mak

1.3k total citations
31 papers, 328 citations indexed

About

Simon Mak is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Simon Mak has authored 31 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Simon Mak's work include Gaussian Processes and Bayesian Inference (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Simon Mak is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Simon Mak collaborates with scholars based in United States, Hong Kong and Canada. Simon Mak's co-authors include V. Roshan Joseph, Xingjian Wang, C. F. Jeff Wu, Vigor Yang, Jared D. Huling, Changbao Wu, Yao Xie, Jean-François Paquet, Steffen A. Bass and D. V. Cormack and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Simon Mak

27 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Mak United States 10 104 97 81 63 57 31 328
Shan Ba United States 9 108 1.0× 261 2.7× 168 2.1× 200 3.2× 31 0.5× 15 524
Niklas Lind United Kingdom 2 67 0.6× 25 0.3× 75 0.9× 51 0.8× 58 1.0× 3 380
Rajan Srinivasan Netherlands 9 86 0.8× 35 0.4× 49 0.6× 46 0.7× 41 0.7× 30 373
Genetha A. Gray United States 8 135 1.3× 187 1.9× 46 0.6× 51 0.8× 14 0.2× 24 405
Kei Takeuchi Japan 12 104 1.0× 44 0.5× 57 0.7× 69 1.1× 273 4.8× 57 535
Nobuo Shinozaki Japan 13 68 0.7× 75 0.8× 37 0.5× 30 0.5× 174 3.1× 39 397
Scott A. Starks United States 9 100 1.0× 94 1.0× 82 1.0× 39 0.6× 35 0.6× 70 322
Alex Gorodetsky United States 11 58 0.6× 86 0.9× 180 2.2× 29 0.5× 10 0.2× 56 385
Youssef Diouane France 8 76 0.7× 114 1.2× 46 0.6× 43 0.7× 6 0.1× 36 284
Xingsi Li China 9 34 0.3× 159 1.6× 37 0.5× 40 0.6× 15 0.3× 28 347

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).

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.

Co-authorship network of co-authors of Simon Mak

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Mak. A scholar is included among the top collaborators of Simon Mak 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 Simon Mak. Simon Mak 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.
2.
Paquet, Jean-François, et al.. (2024). Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions. SIAM/ASA Journal on Uncertainty Quantification. 12(2). 473–502. 5 indexed citations
3.
Huling, Jared D. & Simon Mak. (2024). Energy balancing of covariate distributions. SHILAP Revista de lepidopterología. 12(1). 10 indexed citations
4.
Tang, Tao, Simon Mak, & David B. Dunson. (2024). Hierarchical Shrinkage Gaussian Processes: Applications to Computer Code Emulation and Dynamical System Recovery. SIAM/ASA Journal on Uncertainty Quantification. 12(4). 1085–1112. 1 indexed citations
5.
6.
Mak, Simon, et al.. (2024). Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy. SIAM/ASA Journal on Uncertainty Quantification. 12(1). 157–181. 3 indexed citations
7.
Mak, Simon, et al.. (2024). eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(2).
8.
Yin, J. H., et al.. (2024). SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization. 5050–5060. 2 indexed citations
9.
10.
Huang, Chaofan, V. Roshan Joseph, & Simon Mak. (2022). Population Quasi-Monte Carlo. Journal of Computational and Graphical Statistics. 31(3). 695–708. 1 indexed citations
11.
Wang, Haoyun, et al.. (2022). Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics. 65(1). 44–56. 4 indexed citations
12.
Mak, Simon, et al.. (2022). PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics. 65(2). 162–178. 2 indexed citations
13.
Mak, Simon, et al.. (2022). Bayesian Uncertainty Quantification for Low-Rank Matrix Completion. Bayesian Analysis. 18(2). 9 indexed citations
14.
Joseph, V. Roshan & Simon Mak. (2021). Supervised compression of big data. Statistical Analysis and Data Mining The ASA Data Science Journal. 14(3). 217–229. 18 indexed citations
15.
Mak, Simon & V. Roshan Joseph. (2018). Support points. The Annals of Statistics. 46(6A). 79 indexed citations
16.
Mak, Simon & V. Roshan Joseph. (2017). Minimax and Minimax Projection Designs Using Clustering. Journal of Computational and Graphical Statistics. 27(1). 166–178. 38 indexed citations
17.
Mak, Simon. (1995). The analytic demon of the Ising model. Physics Letters A. 196(5-6). 318–320. 2 indexed citations
18.
Mak, Simon, et al.. (1991). The two-dimensional electrolytic solution in the hypernetted chain approximation. Chemical Physics. 155(1). 19–25. 6 indexed citations
19.
Mak, Simon & D. V. Cormack. (1960). Spectral Distributions of Scattered X Rays at Points Lying off the Beam Axis. British Journal of Radiology. 33(390). 362–367. 3 indexed citations
20.
Cormack, D. V. & Simon Mak. (1959). Spectra of Scattered Radiation at Points off the Beam Axis. Radiology. 72(1). 107–107. 2 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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