Mathijs Kattenberg
Impact in
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- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Neural Networks and Applications 1
- Co-authors
- Dorret I. Boomsma (5 shared papers)Jouke‐Jan Hottenga (3 shared papers)Lennart C. Karssen (1 shared paper)Morris A. Swertz (1 shared paper)P. Eline Slagboom (1 shared paper)Cisca Wijmenga (1 shared paper)Patrick Deelen (1 shared paper)Paul I. W. de Bakker (1 shared paper)
- Journals
- Human Mutation (1 paper)Nature Protocols (1 paper)European Journal of Human Genetics (1 paper)SHILAP Revista de lepidopterología (1 paper)VU Research Portal (1 paper)
- Partner nations
- NetherlandsAustraliaUnited States
In The Last Decade
Mathijs Kattenberg
6 papers receiving 124 citations
Peers
Comparison fields: 5 of 60
- Genetics 65
- Health Informatics 2
- Cancer Research 15
- Experimental and Cognitive Psychology 9
- Physiology 17
Countries citing papers authored by Mathijs Kattenberg
This map shows the geographic impact of Mathijs Kattenberg'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 Mathijs Kattenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathijs Kattenberg more than expected).
Fields of papers citing papers by Mathijs Kattenberg
This network shows the impact of papers produced by Mathijs Kattenberg. 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 Mathijs Kattenberg. The network helps show where Mathijs Kattenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathijs Kattenberg, 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 | 2015 | 66 | |
| 2 | 2012 | 36 | |
| 3 | 2011 | 16 | |
| 4 | Two Architectures for Parallel Processing of Huge Amounts of Text | 2016 | 4 |
| 5 | 2016 | 3 | |
| 6 | 2016 | 1 |
About Mathijs Kattenberg
Mathijs Kattenberg is a scholar working on Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Genetics and Sociology and Political Science, having authored 6 papers that have together received 126 indexed citations. Recurring topics across this work include Ethics in Clinical Research (2 papers), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Time Series Analysis and Forecasting (1 paper), Neural Networks and Applications (1 paper), Platelet Disorders and Treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Genetics (65 citations), Health Informatics (2 citations), Cancer Research (15 citations), Experimental and Cognitive Psychology (9 citations) and Physiology (17 citations). Mathijs Kattenberg has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Dorret I. Boomsma, Jouke‐Jan Hottenga, Lennart C. Karssen, Morris A. Swertz, P. Eline Slagboom, Cisca Wijmenga, Patrick Deelen, Paul I. W. de Bakker, Cornelia M. van Duijn and Alexandros Kanterakis. Their work appears in journals such as Human Mutation, Nature Protocols, European Journal of Human Genetics, SHILAP Revista de lepidopterología and VU Research Portal.
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.