Michael Tso
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Applications
- Advanced Statistical Methods and Models
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Complexity and Algorithms in Graphs 5
- Advanced Graph Theory Research 2
-
- Digital Image Processing Techniques 3
- Medical Image Segmentation Techniques 2
- Co-authors
- P. T. Davies (1 shared paper)Boris I. Goldengorin (4 shared papers)Gerard Sierksma (1 shared paper)Gregory Gutin (2 shared papers)Arash Rafiey (2 shared papers)James T. Graham (1 shared paper)Anders Yeo (2 shared papers)Jim Graham (1 shared paper)
- Journals
- Journal of the Operational Research Society (2 papers)Pattern Recognition Letters (2 papers)Discrete Applied Mathematics (1 paper)Management Science (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- United KingdomIrelandNorway
In The Last Decade
Michael Tso
12 papers receiving 345 citations
Peers
Comparison fields: 5 of 68
- Statistics and Probability 115
- Biophysics 51
- Computational Theory and Mathematics 78
- Nature and Landscape Conservation 25
- Computer Vision and Pattern Recognition 43
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 | 119 | |
| 2 | 1981 | 84 | |
| 3 | 1999 | 46 | |
| 4 | 2005 | 42 | |
| 5 | 1991 | 33 | |
| 6 | The maximization of submodular functions | 1999 | 33 |
| 7 | 1983 | 24 | |
| 8 | Proceedings of the international conference on industrial logistics | 1999 | 6 |
| 9 | 2005 | 5 | |
| 10 | 1986 | 3 | |
| 11 | 1988 | 2 | |
| 12 | 2010 | 1 |
About Michael Tso
Michael Tso is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biophysics, Management Information Systems and Statistics and Probability, having authored 12 papers that have together received 398 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (5 papers), Digital Image Processing Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced Graph Theory Research (2 papers), Cell Image Analysis Techniques (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Applications (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Statistics and Probability (115 citations), Biophysics (51 citations), Computational Theory and Mathematics (78 citations), Nature and Landscape Conservation (25 citations) and Computer Vision and Pattern Recognition (43 citations). Michael Tso has collaborated with scholars based in United Kingdom, Ireland and Norway. Frequent co-authors include P. T. Davies, Boris I. Goldengorin, Gerard Sierksma, Gregory Gutin, Arash Rafiey, James T. Graham, Anders Yeo, Jim Graham, Peter Kleinschmidt and John Keane. Their work appears in journals such as Journal of the Operational Research Society, Pattern Recognition Letters, Discrete Applied Mathematics, Management Science and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.