Matthew K. Tam

1.1k total citations
26 papers, 649 citations indexed

About

Matthew K. Tam is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Matthew K. Tam has authored 26 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 16 papers in Numerical Analysis and 8 papers in Computational Mechanics. Recurrent topics in Matthew K. Tam's work include Optimization and Variational Analysis (17 papers), Advanced Optimization Algorithms Research (16 papers) and Sparse and Compressive Sensing Techniques (7 papers). Matthew K. Tam is often cited by papers focused on Optimization and Variational Analysis (17 papers), Advanced Optimization Algorithms Research (16 papers) and Sparse and Compressive Sensing Techniques (7 papers). Matthew K. Tam collaborates with scholars based in Australia, Germany and Spain. Matthew K. Tam's co-authors include Yura Malitsky, Patrick C. Howlett, Rob Atkin, Robert Hayes, Frank Endres, Natalia Borisenko, Francisco J. Aragón Artacho, D. Lüke, Jonathan M. Borwein and Robert Hesse and has published in prestigious journals such as The Journal of Physical Chemistry C, Journal of Mathematical Analysis and Applications and Mathematical Programming.

In The Last Decade

Matthew K. Tam

24 papers receiving 624 citations

Peers

Matthew K. Tam
Comparison fields: 5 of 66
  • Catalysis 255
  • Computational Theory and Mathematics 219
  • Electrochemistry 207
  • Numerical Analysis 190
  • Computational Mechanics 120
Replace Lesław K. Bieniasz with:
Lesław K. Bieniasz Poland
Marwan Abukhaled United Arab Emirates
Jan Vybíral Germany
Raymond A. Adomaitis United States
Mingji Zhang United States
Zhiyong Wang China
Alexei G. Makeev Russia
Yingzhou Li United States
G.S. Yablonsky United States
Lesław K. Bieniasz Poland View profile →
Citations per field, relative to Matthew K. Tam
Matthew K. Tam · 1×
Citations per year, relative to Matthew K. Tam
Matthew K. Tam · 1×

Countries citing papers authored by Matthew K. Tam

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. 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 Matthew K. Tam. The network helps show where Matthew K. Tam may publish in the future.

Co-authorship network of co-authors of Matthew K. Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew K. Tam. A scholar is included among the top collaborators of Matthew K. 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 Matthew K. Tam. Matthew K. Tam 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
# Work Indexed citations
1 0
2 0
3 3
4 1
5 1
6 8
7 3
8 7
9 8
10 4
11 2
12 21
13 7
14 5
15 4
16 3
17 7
18
Recent Results on Douglas–Rachford Methods
4
19 40
20 312

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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