Siew Ann Cheong

148 total papers · 1.8k total citations
72 papers, 1.3k citations indexed

About

Siew Ann Cheong is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Global and Planetary Change. According to data from OpenAlex, Siew Ann Cheong has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 14 papers in Statistical and Nonlinear Physics and 10 papers in Global and Planetary Change. Recurrent topics in Siew Ann Cheong's work include Complex Systems and Time Series Analysis (22 papers), Complex Network Analysis Techniques (12 papers) and Ecosystem dynamics and resilience (8 papers). Siew Ann Cheong is often cited by papers focused on Complex Systems and Time Series Analysis (22 papers), Complex Network Analysis Techniques (12 papers) and Ecosystem dynamics and resilience (8 papers). Siew Ann Cheong collaborates with scholars based in Singapore, United States and Taiwan. Siew Ann Cheong's co-authors include Christopher L. Henley, Kit Man Chan, Gaik‐Khuan Chuah, Stephan Jaenicke, Tom Wu, Yufeng Tian, Elbert E. M. Chia, Mi He, Haiyang Peng and Bin Yao and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Siew Ann Cheong

65 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siew Ann Cheong	426	247	180	179	144	72	1.3k
José Rogan	533 1.3×	285 1.2×	126 0.7×	111 0.6×	123 0.9×	108	1.8k
Arkadiusz Orłowski	357 0.8×	618 2.5×	132 0.7×	192 1.1×	328 2.3×	129	1.4k
D. J. Gates	230 0.5×	80 0.3×	61 0.3×	105 0.6×	257 1.8×	99	1.1k
Harvey Brooks	433 1.0×	392 1.6×	245 1.4×	17 0.1×	308 2.1×	88	1.8k
Patrick S. Hagan	143 0.3×	168 0.7×	58 0.3×	380 2.1×	85 0.6×	62	1.3k
Karoline Wiesner	132 0.3×	599 2.4×	87 0.5×	146 0.8×	70 0.5×	59	1.4k
Zhi-Gang Shao	747 1.8×	174 0.7×	57 0.3×	135 0.8×	433 3.0×	86	1.3k
Michael Benzaquen	355 0.8×	299 1.2×	93 0.5×	53 0.3×	189 1.3×	96	1.2k
Ryszard Kutner	547 1.3×	318 1.3×	482 2.7×	508 2.8×	94 0.7×	85	1.8k
David Hales	374 0.9×	717 2.9×	48 0.3×	142 0.8×	95 0.7×	87	1.8k

Countries citing papers authored by Siew Ann Cheong

Since Specialization

Citations

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

Fields of papers citing papers by Siew Ann Cheong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Ann Cheong. 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 Siew Ann Cheong. The network helps show where Siew Ann Cheong may publish in the future.

Co-authorship network of co-authors of Siew Ann Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of Siew Ann Cheong. A scholar is included among the top collaborators of Siew Ann Cheong 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 Siew Ann Cheong. Siew Ann Cheong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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