M. Thomson

416 citations
7 papers · 13 · h-index 3

Impact in

Papers in

Journals
Electronics Letters (1 paper)2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). (1 paper)Research Online (University of Wollongong) (1 paper)ResearchSpace (University of Auckland) (1 paper)

In The Last Decade

M. Thomson

6 papers receiving 10 citations

Peers

M. Thomson
Comparison fields: 5 of 12
  • Signal Processing 11
  • Developmental Biology 1
  • Computer Vision and Pattern Recognition 4
  • Computational Mechanics 4
  • Artificial Intelligence 6
Replace John Holdsworth with:
John Holdsworth Japan
L. C. Schwardt South Africa
D. Kobayashi Japan
David Cournapeau Japan
Michaël Quisquater Belgium
Connie Brand Brazil
Edwin Andrés Quintero Salazar Colombia
Morrie Doulaty United Kingdom
Valentin Gabeur United States
George Fazekas United Kingdom
M. Thomson relative to John Holdsworth Japan John Holdsworth's profile →
Citations per field
00.5×1.5×
John Holdsworth · 1×
Citations per year

Countries citing papers authored by M. Thomson

Since Specialization
Citations

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

Fields of papers citing papers by M. Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside M. Thomson, 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 M. Thomson Line = papers co-authored together M. Thomson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About M. Thomson

M. Thomson is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Physiology, having authored 7 papers that have together received 13 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Advanced Data Compression Techniques (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Speech Recognition and Synthesis (2 papers), Voice and Speech Disorders (1 paper), Blind Source Separation Techniques (1 paper), Acoustic Wave Phenomena Research (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (11 citations), Developmental Biology (1 citation), Computer Vision and Pattern Recognition (4 citations), Computational Mechanics (4 citations) and Artificial Intelligence (6 citations). M. Thomson has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include J.F. Chicharo, Lee Burnett, Michael J. Smithers, Mingyang Wu and Julien Epps. Their work appears in journals such as Electronics Letters, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., Research Online (University of Wollongong) and ResearchSpace (University of Auckland).

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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