Matthew Thomas
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
-
- Teaching and Learning Programming
Papers in
-
- T-cell and B-cell Immunology 5
- Co-authors
- David Allman (4 shared papers)Bhaskar Srivastava (3 shared papers)Timothy P. Bender (1 shared paper)Klaus Rajewsky (1 shared paper)Kodi S. Ravichandran (1 shared paper)Joanne Allen (1 shared paper)Kerry Inder (1 shared paper)Bronwyn K. Brew (1 shared paper)
- Journals
- Blood (2 papers)Neuropsychological Rehabilitation (2 papers)Nature Immunology (1 paper)Historical Research (1 paper)The Journal of Mathematical Behavior (1 paper)
- Partner nations
- United StatesAustraliaNew Zealand
In The Last Decade
Matthew Thomas
23 papers receiving 917 citations
Peers
Comparison fields: 5 of 91
- Immunology 263
- Computer Science Applications 48
- Hematology 78
- Cancer Research 73
- Modeling and Simulation 25
Countries citing papers authored by Matthew Thomas
This map shows the geographic impact of Matthew Thomas'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 Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Thomas more than expected).
Fields of papers citing papers by Matthew Thomas
This network shows the impact of papers produced by Matthew Thomas. 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 Thomas. The network helps show where Matthew Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 193 | |
| 2 | 2005 | 151 | |
| 3 | 2016 | 130 | |
| 4 | 2006 | 91 | |
| 5 | 2006 | 75 | |
| 6 | 2006 | 73 | |
| 7 | 2010 | 35 | |
| 8 | 2016 | 34 | |
| 9 | Algorithmic Thinking: An Initial Characterization of Computational Thinking in Mathematics. | 2016 | 31 |
| 10 | 2019 | 28 | |
| 11 | 2009 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2018 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2018 | 9 | |
| 16 | Anarchist Ideas And Counter Cultures In Britain, 1880 1914: Revolutions In Everyday Life | 2004 | 7 |
| 17 | 2020 | 6 | |
| 18 | 2002 | 5 | |
| 19 | 2004 | 5 | |
| 20 | 2024 | 3 |
About Matthew Thomas
Matthew Thomas is a scholar working on Immunology, Experimental and Cognitive Psychology, Education, Modeling and Simulation and Epidemiology, having authored 25 papers that have together received 936 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Traumatic Brain Injury Research (4 papers), Mathematics Education and Teaching Techniques (3 papers), Anarchism and Radical Politics (3 papers), Mathematics Education and Programs (2 papers), Statistics Education and Methodologies (2 papers), Teaching and Learning Programming (2 papers) and Evolution and Science Education (1 paper). The work is most often cited by research in Immunology (263 citations), Computer Science Applications (48 citations), Hematology (78 citations), Cancer Research (73 citations) and Modeling and Simulation (25 citations). Matthew Thomas has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include David Allman, Bhaskar Srivastava, Timothy P. Bender, Klaus Rajewsky, Kodi S. Ravichandran, Joanne Allen, Kerry Inder, Bronwyn K. Brew, Brian J. Kelly and D W Lancki. Their work appears in journals such as Blood, Neuropsychological Rehabilitation, Nature Immunology, Historical Research and The Journal of Mathematical Behavior.
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.