M.A.R. Leisink
Impact in
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Congenital Ear and Nasal Anomalies
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- Prenatal Screening and Diagnostics
Papers in
-
- Model Reduction and Neural Networks 5
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- Neural Networks and Applications 3
- Co-authors
- Ad Geurts van Kessel (2 shared papers)Joris A. Veltman (2 shared papers)Conny M.A. van Ravenswaaij‐Arts (2 shared papers)Bert B.A. de Vries (2 shared papers)David A. Koolen (2 shared papers)Lisenka E.L.M. Vissers (1 shared paper)Erik Huys (1 shared paper)Irene M. Janssen (1 shared paper)
- Journals
- The American Journal of Human Genetics (1 paper)European Journal of Human Genetics (1 paper)Neural Computation (1 paper)BMC Bioinformatics (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- NetherlandsIrelandFrance
In The Last Decade
M.A.R. Leisink
9 papers receiving 502 citations
Peers
Comparison fields: 5 of 71
- Genetics 420
- Pediatrics, Perinatology and Child Health 109
- Plant Science 132
- Molecular Biology 222
- Genetics 26
Countries citing papers authored by M.A.R. Leisink
This map shows the geographic impact of M.A.R. Leisink'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.A.R. Leisink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A.R. Leisink more than expected).
Fields of papers citing papers by M.A.R. Leisink
This network shows the impact of papers produced by M.A.R. Leisink. 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.A.R. Leisink. The network helps show where M.A.R. Leisink may publish in the future.
Co-authors
The 25 scholars most cited alongside M.A.R. Leisink, 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 | 2005 | 413 | |
| 2 | 2005 | 38 | |
| 3 | 2006 | 28 | |
| 4 | 2003 | 16 | |
| 5 | 2001 | 14 | |
| 6 | 2000 | 10 | |
| 7 | 2012 | 3 | |
| 8 | Computer generated higher order expansions | 2002 | 2 |
| 9 | 1999 | 2 |
About M.A.R. Leisink
M.A.R. Leisink is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Genetics, Molecular Biology and Condensed Matter Physics, having authored 9 papers that have together received 526 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (5 papers), Neural Networks and Applications (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Theoretical and Computational Physics (2 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Data Management and Algorithms (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (420 citations), Pediatrics, Perinatology and Child Health (109 citations), Plant Science (132 citations), Molecular Biology (222 citations) and Genetics (26 citations). M.A.R. Leisink has collaborated with scholars based in Netherlands, Ireland and France. Frequent co-authors include Ad Geurts van Kessel, Joris A. Veltman, Conny M.A. van Ravenswaaij‐Arts, Bert B.A. de Vries, David A. Koolen, Lisenka E.L.M. Vissers, Erik Huys, Irene M. Janssen, Willy M. Nillesen and Eric Schoenmakers. Their work appears in journals such as The American Journal of Human Genetics, European Journal of Human Genetics, Neural Computation, BMC Bioinformatics and Journal of Artificial Intelligence Research.
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.