Siu‐Ming Tam

49 total papers · 464 total citations
36 papers, 252 citations indexed

About

Siu‐Ming Tam is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Siu‐Ming Tam has authored 36 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in Siu‐Ming Tam's work include Statistical Methods and Bayesian Inference (11 papers), Survey Sampling and Estimation Techniques (10 papers) and Census and Population Estimation (8 papers). Siu‐Ming Tam is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Survey Sampling and Estimation Techniques (10 papers) and Census and Population Estimation (8 papers). Siu‐Ming Tam collaborates with scholars based in Australia, United States and Netherlands. Siu‐Ming Tam's co-authors include Jae Kwang Kim, Jaekwang Kim, K. R. W. Brewer, Muhammad Hanif, Jens Breckling, Alan H. Dorfman, Raymond L. Chambers, A. H. Welsh, Jan van den Brakel and Hugh Chipman and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The American Statistician.

In The Last Decade

Siu‐Ming Tam

29 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Siu‐Ming Tam	134	53	46	43	31	36	252
Ralf Münnich	124 0.9×	54 1.0×	73 1.6×	37 0.9×	87 2.8×	63	283
Giancarlo Manzi	44 0.3×	28 0.5×	84 1.8×	27 0.6×	12 0.4×	36	293
Dhirendra Singh	150 1.1×	16 0.3×	6 0.1×	91 2.1×	23 0.7×	30	329
Angelo Mazza	89 0.7×	83 1.6×	52 1.1×	89 2.1×	37 1.2×	26	277
Guillaume Chauvet	142 1.1×	40 0.8×	38 0.8×	40 0.9×	15 0.5×	38	275
Shonosuke Sugasawa	129 1.0×	15 0.3×	77 1.7×	53 1.2×	52 1.7×	64	295
Isaac Dialsingh	99 0.7×	20 0.4×	44 1.0×	33 0.8×	29 0.9×	28	319
Horst Stenger	74 0.6×	19 0.4×	19 0.4×	36 0.8×	26 0.8×	29	195
Helmut Farbmacher	83 0.6×	20 0.4×	71 1.5×	31 0.7×	10 0.3×	22	312
Eli S. Marks	87 0.6×	164 3.1×	32 0.7×	8 0.2×	18 0.6×	16	294

Countries citing papers authored by Siu‐Ming Tam

Since Specialization

Citations

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

Fields of papers citing papers by Siu‐Ming Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siu‐Ming 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 Siu‐Ming Tam. The network helps show where Siu‐Ming Tam may publish in the future.

Co-authorship network of co-authors of Siu‐Ming Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Siu‐Ming Tam. A scholar is included among the top collaborators of Siu‐Ming Tam 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 Siu‐Ming Tam. Siu‐Ming Tam 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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