Matthew Sperrin
Impact in
- Health Informatics top 1%
-
- Acute Myocardial Infarction Research
- Heart Failure Treatment and Management
- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
Papers in
-
- Advanced Causal Inference Techniques 15
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Iain BuchanAndrew G. RenehanGlen P. MartinHannah LennonEllena BadrickNiels PeekMamas A. MamasEvangelos Kontopantelis
- Journals
- Journal of Clinical Epidemiology (8 papers)BMJ Open (8 papers)Statistics in Medicine (6 papers)BMC Medical Research Methodology (5 papers)British Journal of Cancer (5 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Matthew Sperrin
155 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Health Informatics 117
- Cardiology and Cardiovascular Medicine 1.1k
- Health Information Management 193
- Geriatrics and Gerontology 156
- Statistics and Probability 243
Countries citing papers authored by Matthew Sperrin
This map shows the geographic impact of Matthew Sperrin'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 Sperrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Sperrin more than expected).
Fields of papers citing papers by Matthew Sperrin
This network shows the impact of papers produced by Matthew Sperrin. 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 Sperrin. The network helps show where Matthew Sperrin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Sperrin, 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 | 2025 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 80 | |
| 13 | Informative Observation in Health Data: Association of Past Level and Trend with Time to Next Measurement. | 2017 | 7 |
| 14 | Can we identify people with higher pancreatic cancer risk who present with type 2 diabetes | 2017 | 2 |
| 15 | 2017 | 50 | |
| 16 | 2017 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2016 | 28 | |
| 19 | 2015 | 3 | |
| 20 | 2015 | 33 |
About Matthew Sperrin
Matthew Sperrin is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology, Health Information Management, Geriatrics and Gerontology and Health Informatics, having authored 161 papers that have together received 4.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (28 papers), Machine Learning in Healthcare (23 papers), Chronic Disease Management Strategies (16 papers), Advanced Causal Inference Techniques (15 papers), Acute Myocardial Infarction Research (14 papers), Cancer Risks and Factors (11 papers), Nutritional Studies and Diet (9 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Health Informatics (117 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Health Information Management (193 citations), Geriatrics and Gerontology (156 citations) and Statistics and Probability (243 citations). Matthew Sperrin has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Iain Buchan, Andrew G. Renehan, Glen P. Martin, Hannah Lennon, Ellena Badrick, Niels Peek, Mamas A. Mamas, Evangelos Kontopantelis, Peter Ludman and Chun Shing Kwok. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ Open, Statistics in Medicine, BMC Medical Research Methodology and British Journal of Cancer.
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.