Tin-Yau Tam

92 papers receiving 509 citations

Peers

Tin-Yau Tam
Comparison fields: 5 of 44
  • Computational Mathematics 23
  • Algebra and Number Theory 147
  • Applied Mathematics 246
  • Computational Theory and Mathematics 376
  • Geometry and Topology 170
Replace Nung-Sing Sze with:
Nung-Sing Sze Hong Kong
Claus Scheiderer Germany
Manuel Bronstein France
Vladimir V. Sergeichuk Ukraine
Х. Д. Икрамов Russia
Thomas L. Markham United States
Nam‐Kiu Tsing United States
Ilya M. Spitkovsky United States
Jacek Bochnak Netherlands
Lawrence A. Fialkow United States
Tin-Yau Tam relative to Nung-Sing Sze Hong Kong Nung-Sing Sze's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tin-Yau Tam

Since Specialization
Citations

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

Fields of papers citing papers by Tin-Yau Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin-Yau Tam. 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 Tin-Yau Tam. The network helps show where Tin-Yau Tam may publish in the future.

Co-authors

The 23 scholars most cited alongside Tin-Yau Tam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tin-Yau Tam Line = papers co-authored together Tin-Yau Tam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201744
2 201242
3 199727
4 198426
5 199220
6 199917
7 201916
8 201415
9 199414
10 199714
11 198713
12 198512
13 200011
14 199110
15 199810
16 20199
17 20018
18 19918
19 19918
20 20168

About Tin-Yau Tam

Tin-Yau Tam is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Algebra and Number Theory, Geometry and Topology and Mathematical Physics, having authored 100 papers that have together received 572 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (63 papers), Advanced Topics in Algebra (34 papers), Mathematical Inequalities and Applications (22 papers), graph theory and CDMA systems (17 papers), Advanced Algebra and Geometry (17 papers), Mathematics and Applications (15 papers), Holomorphic and Operator Theory (13 papers) and Advanced Optimization Algorithms Research (11 papers). The work is most often cited by research in Computational Mathematics (23 citations), Algebra and Number Theory (147 citations), Applied Mathematics (246 citations), Computational Theory and Mathematics (376 citations) and Geometry and Topology (170 citations). Tin-Yau Tam has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Durmuş Bozkurt, Jianzhen Liu, Randall R. Holmes, Zhuo‐Heng He, Chi-Kwong Li, Nam‐Kiu Tsing, Frank Uhlig, Dijana Mosić, Jorma K. Merikoski and Xuhua Liu. Their work appears in journals such as Linear Algebra and its Applications, Electronic Journal of Linear Algebra, SIAM Journal on Matrix Analysis and Applications, Proceedings of the American Mathematical Society and Linear and Multilinear Algebra.

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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