Michael Tso

13 papers receiving 366 citations

Peers

Michael Tso
Comparison fields: 5 of 87
  • Statistics and Probability 85
  • Analytical Chemistry 47
  • Computational Theory and Mathematics 77
  • Computer Graphics and Computer-Aided Design 12
  • Discrete Mathematics and Combinatorics 8
Replace Lawrence C. Rafsky with:
Lawrence C. Rafsky United States
Adolfo J. Quiróz Venezuela
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J. H. Venter South Africa
C. M. Theobald United Kingdom
Patrice Bertrand France
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Citations per field
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Citations per year

Countries citing papers authored by Michael Tso

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Tso. 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 Michael Tso. The network helps show where Michael Tso may publish in the future.

Co-authors

The 11 scholars most cited alongside Michael Tso, 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 Michael Tso Line = papers co-authored together Michael Tso links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1982123
2 198188
3 199942
4 200541
5 199133
6
The maximization of submodular functions
199931
7 198324
8
The maximization of submodular functions : old and new proofs for the correctness of the dichotomy algorithm
199912
9
Reduced-rank regression and canonical Analysis
19816
10 20055
11 19883
12 19863
13 20101

About Michael Tso

Michael Tso is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Computer Networks and Communications, having authored 13 papers that have together received 412 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (3 papers), Advanced Statistical Methods and Models (2 papers), Gene expression and cancer classification (2 papers), Advanced Graph Theory Research (2 papers), Algorithms and Data Compression (2 papers), Optimization and Search Problems (2 papers), Reliability and Maintenance Optimization (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Statistics and Probability (85 citations), Analytical Chemistry (47 citations), Computational Theory and Mathematics (77 citations), Computer Graphics and Computer-Aided Design (12 citations) and Discrete Mathematics and Combinatorics (8 citations). Michael Tso has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include P. T. Davies, Boris Goldengorin, Arash Rafiey, J Graham, Anders Yeo, Gregory Gutin, Gerard Sierksma, Peter Kleinschmidt, Jim Graham and William J. Martin. Their work appears in journals such as Pattern Recognition Letters, Journal of the Operational Research Society, Management Science, Journal of the Royal Statistical Society Series C (Applied Statistics) and Journal of the Royal Statistical Society Series A (Statistics in Society).

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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