Michael Tso
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Algorithms and Data Compression 2
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- Advanced Statistical Methods and Models 2
- Co-authors
- P. T. Davies (1 shared paper)Boris Goldengorin (4 shared papers)J Graham (1 shared paper)Gerard Sierksma (1 shared paper)Peter Kleinschmidt (1 shared paper)Jim Graham (1 shared paper)Gregory Gutin (1 shared paper)Arash Rafiey (1 shared paper)
- Journals
- Journal of the Operational Research Society (2 papers)Pattern Recognition Letters (2 papers)Discrete Applied Mathematics (1 paper)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)
- Partner nations
- United KingdomNetherlandsGermany
In The Last Decade
Michael Tso
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 81
- Analytical Chemistry 44
- Computational Theory and Mathematics 56
- Computer Graphics and Computer-Aided Design 12
- Ecological Modeling 9
Countries citing papers authored by Michael Tso
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
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 10 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 113 | |
| 2 | 1981 | 81 | |
| 3 | 1999 | 36 | |
| 4 | The maximization of submodular functions | 1999 | 31 |
| 5 | 1991 | 30 | |
| 6 | 2005 | 26 | |
| 7 | 1983 | 23 | |
| 8 | The maximization of submodular functions : old and new proofs for the correctness of the dichotomy algorithm | 1999 | 12 |
| 9 | Reduced-rank regression and canonical Analysis | 1981 | 6 |
| 10 | 1986 | 2 | |
| 11 | 2010 | 1 |
About Michael Tso
Michael Tso is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Computational Theory and Mathematics and Management Science and Operations Research, having authored 11 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Advanced Graph Theory Research (2 papers), Algorithms and Data Compression (2 papers), Complexity and Algorithms in Graphs (2 papers), Genomic variations and chromosomal abnormalities (2 papers), DNA and Biological Computing (2 papers), Supply Chain and Inventory Management (1 paper) and Mathematical Approximation and Integration (1 paper). The work is most often cited by research in Statistics and Probability (81 citations), Analytical Chemistry (44 citations), Computational Theory and Mathematics (56 citations), Computer Graphics and Computer-Aided Design (12 citations) and Ecological Modeling (9 citations). Michael Tso has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include P. T. Davies, Boris Goldengorin, J Graham, Gerard Sierksma, Peter Kleinschmidt, Jim Graham, Gregory Gutin, Arash Rafiey, Anders Yeo and John Keane. Their work appears in journals such as Journal of the Operational Research Society, Pattern Recognition Letters, Discrete Applied Mathematics, Journal of the Royal Statistical Society Series A (Statistics in Society) and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.