Yat Sun Poon

131 total papers · 1.5k total citations
47 papers, 853 citations indexed

About

Yat Sun Poon is a scholar working on Geometry and Topology, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Yat Sun Poon has authored 47 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geometry and Topology, 28 papers in Applied Mathematics and 13 papers in Mathematical Physics. Recurrent topics in Yat Sun Poon's work include Geometry and complex manifolds (29 papers), Geometric Analysis and Curvature Flows (25 papers) and Geometric and Algebraic Topology (16 papers). Yat Sun Poon is often cited by papers focused on Geometry and complex manifolds (29 papers), Geometric Analysis and Curvature Flows (25 papers) and Geometric and Algebraic Topology (16 papers). Yat Sun Poon collaborates with scholars based in United States, Denmark and Hong Kong. Yat Sun Poon's co-authors include Henrik Pedersen, Wai‐Yin Poon, Gueo Grantcharov, Andrew Swann, Simon Salamon, Dimitar Grantcharov, Krzysztof Galicki, Sergio Console, Anna Fino and Claude LeBrun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Communications in Mathematical Physics.

In The Last Decade

Yat Sun Poon

45 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Yat Sun Poon	590	447	210	154	152	47	853
Rémi Léandre	196 0.3×	317 0.7×	520 2.5×	39 0.3×	72 0.5×	106	877
Rémi Rhodes	165 0.3×	94 0.2×	538 2.6×	53 0.3×	168 1.1×	42	715
Vincent Vargas	152 0.3×	77 0.2×	531 2.5×	57 0.4×	176 1.2×	41	732
Yong Lin	257 0.4×	493 1.1×	317 1.5×	68 0.4×	12 0.1×	45	893
Andreas Kriegl	361 0.6×	324 0.7×	531 2.5×	68 0.4×	20 0.1×	30	834
Elton P. Hsu	137 0.2×	388 0.9×	245 1.2×	57 0.4×	55 0.4×	25	727
Léopoldo Nachbin	328 0.6×	293 0.7×	418 2.0×	16 0.1×	125 0.8×	43	874
Ramesh Gangolli	212 0.4×	337 0.8×	495 2.4×	50 0.3×	27 0.2×	15	709
Fabrice Baudoin	237 0.4×	487 1.1×	344 1.6×	78 0.5×	55 0.4×	90	913
Anton Thalmaier	209 0.4×	499 1.1×	218 1.0×	64 0.4×	42 0.3×	51	726

Countries citing papers authored by Yat Sun Poon

Since Specialization

Citations

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

Fields of papers citing papers by Yat Sun Poon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yat Sun Poon. 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 Yat Sun Poon. The network helps show where Yat Sun Poon may publish in the future.

Co-authorship network of co-authors of Yat Sun Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Yat Sun Poon. A scholar is included among the top collaborators of Yat Sun Poon 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 Yat Sun Poon. Yat Sun Poon 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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